WO2019163143A1

WO2019163143A1 - Power consumption estimation device, air-conditioning system, power consumption estimation method, and program

Info

Publication number: WO2019163143A1
Application number: PCT/JP2018/007045
Authority: WO
Inventors: 洋介海津; 知晃行田
Original assignee: 三菱電機株式会社
Priority date: 2018-02-26
Filing date: 2018-02-26
Publication date: 2019-08-29
Also published as: JP6925498B2; JPWO2019163143A1

Abstract

A first data acquisition unit (101) acquires weather forecast data indicating a weather forecast from a first server. A second data acquisition unit (102) acquires from a second server character string data indicating a character string that includes weather-related terminology relating to the weather. A power consumption estimation unit (103) estimates the power consumption of an air conditioner on the basis of the weather forecast data. An adjustment value determination unit (107) determines an adjustment value for the estimated power consumption on the basis of the character string data. A power consumption adjustment unit (111) uses the adjustment value to adjust the estimated power consumption.

Description

Power consumption estimation device, air conditioning system, power consumption estimation method, and program

The present invention relates to a power consumption estimation device, an air conditioning system, a power consumption estimation method, and a program.

Currently, there is a known technology for creating an air conditioning schedule so that the power consumption of the air conditioner falls below the target power consumption. When creating an air conditioning schedule, it is desirable to estimate power consumption in consideration of weather forecasts. Such a technique is described in Patent Document 1, for example.

In the technique described in Patent Document 1, a reference schedule for an air conditioner capable of achieving a target is created, and a reference schedule is used in order from the weather forecast data having a long forecast period among a plurality of weather forecast data having different forecast periods. Update. General weather forecast data as described in Patent Document 1 can be acquired from, for example, the Japan Meteorological Agency or other aircraft.

International Publication No. 2013/186932

However, such general weather forecast data is basically data corresponding to a wide target range and a long target period, and cannot be said to be highly accurate data on both sides of the target range and target period. That is, if power consumption is estimated using general weather forecast data, it is difficult to estimate power consumption with high accuracy. On the other hand, there is a service that provides weather forecast data with high accuracy corresponding to a specific region and a specific time zone between the Japan Meteorological Agency or other aircraft. However, such a service is often provided only for a specific area, and it is highly likely that the service will be suddenly stopped, which is not a stable service. That is, when power consumption is estimated using such a service, it is difficult to stably estimate power consumption. For this reason, the technique which estimates the power consumption of an air conditioner stably with high precision is desired.

The present invention has been made in view of the above problems, and provides a power consumption estimation device, an air conditioning system, a power consumption estimation method, and a program that stably estimate the power consumption of an air conditioner with high accuracy. Objective.

In order to achieve the above object, a power consumption estimation apparatus according to the present invention includes:
First data acquisition means for acquiring weather forecast data indicating a weather forecast from the first server;
Second data acquisition means for acquiring character string data indicating a character string including weather-related terms related to weather from the second server;
Based on the weather forecast data, power consumption estimation means for estimating the power consumption of the air conditioner,
Adjustment value determining means for determining an adjustment value for the power consumption based on the character string data;
Power consumption adjusting means for adjusting the power consumption with the adjustment value.

In the present invention, the power consumption of the air conditioner is estimated based on the weather forecast data indicating the weather forecast and the character string data indicating the character string including the weather-related terms related to the weather. Therefore, according to the present invention, the power consumption of the air conditioner can be estimated stably with high accuracy.

The block diagram of the air-conditioning system which concerns on Embodiment 1 of this invention Functional block diagram of the power consumption estimation apparatus and air-conditioning control apparatus which concern on Embodiment 1 of this invention Diagram showing power consumption information Diagram showing terminology information Diagram showing adjustment value information Figure showing time information Figure showing regional information The flowchart which shows the power consumption estimation process which the power consumption estimation apparatus which concerns on Embodiment 1 of this invention performs. Flowchart showing the adjustment value determination process shown in FIG. The flowchart which shows the schedule adjustment process which the air-conditioning control apparatus which concerns on Embodiment 1 of this invention performs. Functional configuration diagram of a power consumption estimation apparatus and an air conditioning control apparatus according to Embodiment 2 of the present invention The figure which shows the adjustment value information including the certainty factor The flowchart which shows the adjustment value determination process which the power consumption estimation apparatus which concerns on Embodiment 2 of this invention performs The flowchart which shows the update process which the power consumption estimation apparatus which concerns on Embodiment 2 of this invention performs. Explanatory drawing of the method to find the adjustment value and certainty factor from the actual value of power consumption Explanatory diagram of a method for classifying confidence

(Embodiment 1)
First, with reference to FIG. 1, the structure of the air conditioning system 1000 which concerns on Embodiment 1 of this invention is demonstrated. The air conditioning system 1000 is a system that air-conditions a space in an office, for example. As shown in FIG. 1, the air conditioning system 1000 includes a power consumption estimation device 100, an air conditioning control device 200, an outdoor unit 310, an indoor unit 320, an indoor unit 330, and a power measurement device 400. The power consumption estimation apparatus 100, the air conditioning control apparatus 200, and the power measurement apparatus 400 are connected to each other via a communication network 610. The communication network 610 is, for example, a wireless LAN (Local Area Network) built in an office. The power consumption estimation apparatus 100, the first server 510, and the second server 520 are connected to each other via a communication network 620. The communication network 620 is, for example, the Internet.

The power consumption estimation device 100 is a device that estimates the power consumption of the air conditioner. In this embodiment, in order to facilitate understanding, an assembly of the outdoor unit 310, the indoor unit 320, and the indoor unit 330 is regarded as an air conditioner. However, any one of the outdoor unit 310, the indoor unit 320, and the indoor unit 330 may be regarded as an air conditioner. The power consumption estimation apparatus 100 estimates the power consumption of the air conditioner at each time within the estimation target period based on the weather forecast data, the character string data, and the schedule information, and the power consumption of the air conditioner within the estimation target period. Is estimated. The estimation target period is a period for which power consumption and power consumption are estimated. The estimation target period is, for example, one month, one week, or one day.

Weather forecast data is data indicating a weather forecast. The weather forecast data is data defined in a predetermined format. The weather forecast data is, for example, data in a format of date: 10/1, location: Yokohama, maximum temperature: 29 ° C., minimum temperature: 22 ° C., and precipitation probability: 10%. The weather forecast data is generally data whose type to be received is determined, such as a JSON (Java Script (registered trademark) Object Notation) format. The granularity of the forecast target area in the weather forecast data and the granularity of the forecast target period in the weather forecast data may be any fineness. The weather forecast data is used to calculate an approximate value of the estimated power consumption. The weather forecast data is provided from the first server 510.

The character string data is data indicating a character string including a weather related term that is a term related to the weather. Character string data is data whose format is not defined. In other words, the format of the character string data is not limited to a specific format. The string data is not essentially data prepared for providing a weather forecast, and is not data indicating a weather forecast. That is, the character string data is not weather forecast data. The character string data is data indicating a character string indicating the content of a message in, for example, top news, weather news, and SNS (Social Networking Service) of the portal site. The character string data is used to adjust the approximate value of the estimated power consumption. The character string data is provided from the second server 520.

Schedule information is information indicating an air conditioning schedule that is a control schedule of the air conditioner. The schedule information is, for example, information indicating control contents for each date and time. This date and time may be managed in any length. In the present embodiment, this date and time is managed by being divided every hour. The control content is, for example, a set temperature. This set temperature may be the set temperature in the cooling operation, the set temperature in the heating operation, or the set temperature in the automatic operation that automatically switches between the cooling operation and the heating operation. The schedule information is provided from the air conditioning control device 200, for example.

The power consumption estimation apparatus 100 includes a processor 11, a flash memory 12, a touch screen 13, a first communication interface 14, and a second communication interface 15. The processor 11 controls the overall operation of the power consumption estimation apparatus 100. The processor 11 is, for example, a CPU (Central Processing Unit) that incorporates ROM (Read Only Memory), RAM (Random Access Memory), RTC (Real Time Clock), and the like. The CPU operates according to a basic program stored in the ROM, for example, and uses the RAM as a work area.

The flash memory 12 is a nonvolatile memory that stores various types of information. For example, the flash memory 12 stores a program executed by the processor 11. The touch screen 13 detects an operation performed by the user and supplies a signal indicating the detection result to the processor 11. The touch screen 13 displays information according to control by the processor 11. The first communication interface 14 is a communication interface for connecting the power consumption estimation apparatus 100 to the communication network 610. The first communication interface 14 is, for example, a wireless LAN communication interface. The second communication interface 15 is a communication interface for connecting the power consumption estimation apparatus 100 to the communication network 620. The power consumption estimation apparatus 100 is a personal computer, for example.

The air conditioning control device 200 includes a processor 21, a flash memory 22, a first communication interface 23, and a second communication interface 24. The processor 21 controls the overall operation of the air conditioning control device 200. The processor 21 is, for example, a CPU incorporating a ROM, RAM, RTC, and the like. The CPU operates according to a basic program stored in the ROM, for example, and uses the RAM as a work area.

The flash memory 22 is a non-volatile memory that stores various types of information. For example, the flash memory 22 stores a program executed by the processor 21. The first communication interface 23 is a communication interface for connecting the air conditioning control device 200 to the communication network 610. The first communication interface 23 is, for example, a wireless LAN communication interface. The second communication interface 24 is a communication interface for connecting the air conditioning control device 200 to the outdoor unit 310. The air conditioning control device 200 is, for example, a HEMS controller in HEMS (Home Energy Management System).

The outdoor unit 310 is an air conditioner installed outside the room. The outdoor unit 310 operates according to control by the air conditioning control device 200. The indoor unit 320 and the indoor unit 330 are air conditioners installed indoors. The indoor unit 320 and the indoor unit 330 harmonize the air in the indoor space according to control by the air conditioning control device 200 via the outdoor unit 310. In the present embodiment, the room in which the indoor unit 320 is installed and the room in which the indoor unit 330 are installed are different from the space in which the indoor unit 320 is air-conditioned and the space in which the indoor unit 330 is air-conditioned.

The power measuring device 400 measures the power consumption of the air conditioner and measures the power consumption of the air conditioner. That is, the power measuring apparatus 400 measures the power consumption of the outdoor unit 310 and measures the power consumption of the outdoor unit 310. Further, the power measuring device 400 measures the power consumption of the indoor unit 320 and measures the power consumption of the indoor unit 320. Further, the power measuring device 400 measures the power consumption of the indoor unit 330 and measures the power consumption of the indoor unit 330. The power measuring device 400 measures the total power consumption of the outdoor unit 310, the indoor unit 320, and the indoor unit 330, and measures the total power consumption of the outdoor unit 310, the indoor unit 320, and the indoor unit 330. Good. The power measuring apparatus 400 includes a communication interface for connecting to the communication network 610. The power measurement device 400 transmits measured power information indicating the measured power consumption or the measured power consumption amount to the power consumption estimation device 100 or the air conditioning control device 200 via the communication network 610. The power measuring device 400 includes, for example, a current transformer.

The first server 510 is a server that provides weather forecast data. The weather forecast data stored in the first server 510 is periodically updated. The first server 510 has a function of connecting to the communication network 620. The first server 510 transmits weather forecast data to the power consumption estimation apparatus 100 in accordance with a request from the power consumption estimation apparatus 100. The first server 510 is, for example, a server owned by the Japan Meteorological Agency or other aircraft. The first server 510 includes, for example, a processor that controls the overall operation of the first server 510, a hard disk that stores weather forecast data, and a communication interface for connecting the first server 510 to the communication network 620.

The second server 520 is a server that provides character string data. The character string data stored in the second server 520 is updated in real time. The second server 520 has a function of connecting to the communication network 620. The second server 520 transmits character string data to the power consumption estimation apparatus 100 in accordance with a request from the power consumption estimation apparatus 100. The second server 520 is, for example, a server that provides SNS or other services. The second server 520 includes, for example, a processor that controls the overall operation of the second server 520, a hard disk that stores character string data, and a communication interface for connecting the second server 520 to the communication network 620.

Next, functions of the power consumption estimation apparatus 100 and the air conditioning control apparatus 200 will be described with reference to FIG. As shown in FIG. 2, the power consumption estimation apparatus 100 functionally includes a first data acquisition unit 101, a second data acquisition unit 102, a power consumption estimation unit 103, a power consumption information storage unit 104, A term extraction unit 105, a term information storage unit 106, an adjustment value determination unit 107, an adjustment value information storage unit 108, a time information storage unit 109, a region information storage unit 110, and a power consumption adjustment unit 111 are provided. . The air conditioning control device 200 functionally includes a schedule information storage unit 201, a schedule adjustment unit 202, and an air conditioning control unit 203.

The first data acquisition unit corresponds to the first data acquisition unit 101, for example. The second data acquisition unit corresponds to the second data acquisition unit 102, for example. The power consumption estimation unit corresponds to the power consumption estimation unit 103, for example. The adjustment value determination unit corresponds to the adjustment value determination unit 107, for example. The adjustment value information storage unit corresponds to, for example, the adjustment value information storage unit 108. The time information storage means corresponds to the time information storage unit 109, for example. The regional information storage means corresponds to the regional information storage unit 110, for example. The power consumption adjusting unit corresponds to the power consumption adjusting unit 111, for example. The schedule adjustment unit corresponds to the schedule adjustment unit 202, for example. The air conditioning control means corresponds to the air conditioning control unit 203, for example.

The first data acquisition unit 101 acquires weather forecast data that is data indicating a weather forecast from the first server 510. For example, the first data acquisition unit 101 transmits a weather forecast data transmission request indicating the weather forecast within the estimation target period to the first server 510 via the communication network 620. The first data acquisition unit 101 receives the weather forecast data transmitted from the first server 510 in response to the transmission request via the communication network 620. The function of the first data acquisition unit 101 is realized by the cooperation of the processor 11 and the second communication interface 15, for example.

The second data acquisition unit 102 acquires character string data that is data indicating a character string including a weather-related term that is a term related to weather from the second server 520. For example, the second data acquisition unit 102 transmits a transmission request for character string data indicating the content of the top news of the portal site to the second server 520 via the communication network 620. Then, the second data acquisition unit 102 receives the character string data transmitted by the second server 520 in response to this transmission request via the communication network 620. The function of the 2nd data acquisition part 102 is implement | achieved, for example, when the processor 11 and the 2nd communication interface 15 cooperate.

The power consumption estimation unit 103 estimates the power consumption of the air conditioner based on the weather forecast data. Here, the power consumption of the air conditioner depends on the weather conditions and the control content. Therefore, the power consumption estimation unit 103 is based on the power consumption information indicating the power consumption according to the weather condition and the control content, and the schedule information indicating the control content at each time in addition to the weather forecast data indicating the weather condition. Estimate the power consumption of the air conditioner. The power consumption estimation unit 103 acquires weather forecast data from the first data acquisition unit 101, acquires power consumption information from the power consumption information storage unit 104, and stores schedule information from the schedule information storage unit 201.

As shown in FIG. 3, the power consumption information is, for example, information in which weather conditions, days of the week, control contents, and power consumption are associated with each other. The weather situation is specified by, for example, the outside temperature and the weather. The control content is, for example, a set temperature in air conditioning control. The power consumption is the power consumption of the air conditioner according to the weather situation, the day of the week, and the control content. When the power consumption does not depend on the day of the week, the power consumption information may be information in which the weather condition, the control content, and the power consumption are associated with each other. The first record shown in FIG. 3 indicates that when the outside air temperature is 28 ° C., the weather is clear, the day of the week is Monday, and the control content is 26 ° C., the power consumption of the air conditioner is 6 kW. ing.

In the present embodiment, the power consumption estimation unit 103 estimates the power consumption and the power consumption amount every hour. That is, the power consumption estimation unit 103 divides the estimation target period every hour, estimates the power consumption every hour, and estimates the power consumption per hour. And the power consumption estimation part 103 calculates | requires the sum of the power consumption per hour as a power consumption in an estimation object period. The function of the power consumption estimation unit 103 is realized by, for example, the cooperation of the processor 11 and the first communication interface 14.

The power consumption information storage unit 104 stores the power consumption information described above. This power consumption information is generated based on, for example, actual values of power consumption measured for each combination of weather conditions, day of the week, and control content. For example, the power consumption information may be generated based on an operation received from the user via the touch screen 13 or may be acquired from another device via the communication network 610 or the communication network 620. The function of the power consumption information storage unit 104 is realized by the function of the flash memory 12, for example.

The term extraction unit 105 extracts various terms from the character string indicated by the character string data acquired by the second data acquisition unit 102 based on the term information stored in the term information storage unit 106. The term extraction unit 105 supplies information indicating the extracted term and the extraction position in the character string to the adjustment value determination unit 107. As shown in FIG. 4, the term information is information indicating a term to be extracted from character string data for each term classification. Terms to be extracted are classified into weather-related terms, time-related terms, and region-related terms. The weather-related term is a term for determining the adjustment value. The time-related term is a term for determining the adjustment target time. The region related term is a term for determining the adjustment target region.

The weather related term is a term related to the weather, for example, a term representing a weather condition. Meteorological terms include clear weather, showers, strong sunlight, heavy storms, rainy season fronts, storm warnings, or typhoons. The time-related term is a term related to time, for example, a term indicating a date or a time zone. The time-related term may be a term indicating a date or a time zone by a relative expression based on the current time. Time-related terms are, for example, tomorrow, full today, early morning, dawn, afternoon, night, or daytime. The region-related term is a term related to the region, for example, a term representing the name of the region. The region-related term may be a name of a landmark existing in the region. The region-related terms are, for example, eastern Kanagawa Prefecture, Kanagawa Ward, Tsurumi Ward, Landmark Tower, red brick warehouse, central Kanagawa Prefecture, or Ofuna. The function of the term extraction unit 105 is realized by the function of the processor 11, for example.

The term information storage unit 106 stores the term information described above. This term information may be generated based on, for example, an operation received from the user via the touch screen 13, or may be acquired from another device via the communication network 610 or the communication network 620. The function of the term information storage unit 106 is realized by the function of the flash memory 12, for example.

The adjustment value determination unit 107 determines an adjustment value for the power consumption estimated by the power consumption estimation unit 103 based on the character string data acquired by the second data acquisition unit 102. For example, the adjustment value determination unit 107 includes the term extracted by the term extraction unit 105, adjustment value information stored in the adjustment value information storage unit 108, time information stored in the time information storage unit 109, and region information The adjustment value is determined based on the area information stored in the storage unit 110. Details of processing contents of the adjustment value determination unit 107 will be described later. The function of the adjustment value determination unit 107 is realized by the function of the processor 11, for example.

The adjustment value information storage unit 108 stores adjustment value information. As illustrated in FIG. 5, the adjustment value information is information indicating a correspondence relationship between a weather-related term and an adjustment value. The adjustment value can be represented by an adjustment amount indicating the absolute value of the adjustment value and an adjustment characteristic indicating the sign of the adjustment value. Here, the weather-related terms to be extracted often differ between the cooling period and the heating period, and the adjustment characteristics are likely to be reversed. Therefore, in this embodiment, as shown in FIG. 5, the adjustment value information used in the cooling period and the adjustment value information used in the heating period are managed separately.

The cooling period is basically a period when the cooling operation is executed by the air conditioner, for example, summer. The heating period is basically a period when the heating operation is executed by the air conditioner, for example, winter. In FIG. 5, the record in the first line in the adjustment value information used in the cooling period means that the estimated value of power consumption is increased by 1 kW when the weather-related term “clear space” is extracted in the cooling period. Further, in FIG. 5, the record in the first line in the adjustment value information used in the heating period means that the estimated value of power consumption is reduced by 1 kW when the weather-related term “clear weather” is extracted in the heating period. . In the present embodiment, the adjustment value information is stored in advance in the adjustment value information storage unit 108 and is not updated. The function of the adjustment value information storage unit 108 is realized by the function of the flash memory 12, for example.

The time information storage unit 109 stores time information. As shown in FIG. 6, the time information is information indicating a correspondence relationship between a time-related term that is a term related to the time and the time. In FIG. 6, the record on the first line in the time information indicates that the time to be adjusted is 3 o'clock when the time-related term “dawn” is extracted. In the present embodiment, it is assumed that the time may specify not only the time represented by the hour, minute and second but also the date represented by the date.

In the present embodiment, the time associated with the time-related term may be one time, or may be two times, a start time of a certain period and an end time of this period. When the time associated with the time-related term is one time, a period for a predetermined time starting from this time, a period for a predetermined time ending at this time, or this A period of a predetermined time centering on the time is designated. For example, in the record in the first row, the dawn may indicate a period from 3 o'clock to 4 o'clock, may indicate a period from 2 o'clock to 3 o'clock, or from 2:30 to 3:30 A period may be indicated. The function of the time information storage unit 109 is realized by the function of the flash memory 12, for example.

The regional information storage unit 110 stores regional information. As shown in FIG. 7, the area information is information indicating a correspondence relationship between an area-related term that is a term related to the area and the area. In FIG. 7, the record on the first line in the area information indicates that the area to be adjusted is Yokohama City when the area-related term “eastern Kanagawa Prefecture” is extracted. Note that the magnitude relationship between the region associated with the region-related term and the region associated with the region-related term is unquestioned. In other words, the region associated with the region-related term may be a wider region including the region associated with the region-related term, or a narrower region included in the region associated with the region-related term It may be. In this embodiment, since the air conditioner is installed in one area, the estimated power consumption is adjusted when the air conditioner is installed in the area to be adjusted. When the air conditioner is installed in a different area, the power consumption estimated for the air conditioner set in the adjustment target area is adjusted. The function of the area information storage unit 110 is realized by the function of the flash memory 12, for example.

Here, the adjustment value determination unit 107 can determine the first adjustment value as the adjustment value when the first weather related term is included in the character string indicated by the character string data. The first weather related term is one weather related term. The first adjustment value is an adjustment value associated with the first weather-related term by the adjustment value information. For example, when the first weather related term is sunny, +1 kW is determined as the adjustment value. Here, the adjustment target time is determined by a time-related term included in the character string indicated by the character string data.

For example, the adjustment value determination unit 107 further includes a first time-related term in a character string indicated by the character string data, and the first weather-related term and the first time-related term are predetermined in the character string. If it is, the first time is determined as the time adjusted by the first adjustment value. The first time related term is one time related term. The first time is a time associated with the first time-related term by the time information. The case where the first weather-related term and the first time-related term are in a predetermined relationship in the character string is, for example, the case where the first weather-related term and the first time-related term are included in one sentence Or, it is a case where there are no more than a predetermined number (for example, 10) of characters between the first weather-related term and the first time-related term. For example, when a character string includes a clear sky and an early afternoon, and a clear sky and an early afternoon are included in one sentence, 15:00 is determined as the time adjusted with an adjustment value of +1 kW. The adjustment target area is determined by area-related terms included in the character string indicated by the character string data.

For example, the adjustment value determination unit 107 further includes a first region-related term in the character string indicated by the character string data, and the first weather-related term and the first region-related term are predetermined in the character string. If it is, the first adjustment value is determined as the adjustment value of the air conditioner arranged in the first area. That is, the adjustment value determination unit 107 further includes a first region-related term in the character string indicated by the character string data, and the first weather-related term and the first region-related term are predetermined in the character string. If the air conditioner is located in the first area, the first adjustment value is determined as the adjustment value. The first region-related term is one region-related term. The first region is a region associated with the first region-related term by the region information. The case where the first weather-related term and the first region-related term are in a predetermined relationship in the character string is, for example, the case where the first weather-related term and the first region-related term are included in one sentence Or, it is a case where there are only a predetermined number of characters (for example, 10) or less between the first weather related term and the first region related term. For example, if the character string includes Harima and eastern Kanagawa, and Haruma and eastern Kanagawa are included in one sentence and the air conditioner is located in Yokohama, +1 kW is determined as the adjustment value. .

In addition, for example, the adjustment value determination unit 107 includes the first weather related term, the first time related term, and the first region related term in the character string indicated by the character string data. When the term, the first time-related term, and the first region-related term are included in one sentence, the first adjustment value is determined as the adjustment value at the first time of the air conditioners arranged in the first region.

For example, character string data is data indicating a character string of “Nishi-ku, Kanagawa, Yokohama, heavy rain, intense strong winds from dawn until noon. Suppose that In this case, for example, from the first sentence of this character string, the first area-related term “Nishi-ku, Yokohama-shi, Kanagawa” is extracted, and the first time-related terms “dawn” and “before noon”, or “dawn” The first time-related term “from to noon” is extracted, and the first weather-related terms “strong rain” and “violent strong wind” are extracted. Also, for example, from the second sentence of this character string, the first region-related term “Kohoku-ku, Yokohama-shi, Kanagawa” is extracted, and the first time-related term “4th” and “5th morning”, or , The first time-related term “4th to 5th morning” is extracted, and the first weather-related term “typhoon” is extracted.

Here, with regard to the first sentence, the term “from dawn to noon” is included in the term information and time information, and the term “from dawn to noon” corresponds to the term “from 3 o'clock to 11 o'clock” according to the time information It shall be attached. In this case, the term “from 3 to 11:00” is directly specified from the term “from dawn to noon”. On the other hand, the term “from dawn to noon” is not included in the term information and time information, and the terms “dawn” and “noon” are included in the term information and time information. It is assumed that the time “3 o'clock” is associated with the term “dawn” and the time “11 o'clock” is associated with the term “before noon”. In this case, the time “3 o'clock” is specified from the term “dawn”, the time “11 o'clock” is specified from the term “before noon”, and the time “3 o'clock to 11 o'clock” is determined from the term “from”. A belt is specified. The same applies to the second sentence.

The power consumption adjustment unit 111 adjusts the power consumption estimated by the power consumption estimation unit 103 with the adjustment value determined by the adjustment value determination unit 107. More specifically, the power consumption adjustment unit 111 is determined by the adjustment value determination unit 107 and the adjustment target time determined by the adjustment value determination unit 107 out of the power consumption estimated by the power consumption estimation unit 103. The power consumption corresponding to the adjustment target area is adjusted with the adjustment value determined by the adjustment value determination unit 107. The power consumption adjustment unit 111 supplies information indicating the adjusted power consumption to the schedule adjustment unit 202. The function of the power consumption adjustment unit 111 is realized by the cooperation of the processor 11 and the first communication interface 14, for example.

Further, the power consumption estimation unit 103 estimates power consumption in each of a plurality of individual periods included in the estimation target period based on the weather forecast data and the air conditioning schedule of the estimation target period that is a predetermined period. The plurality of individual periods are, for example, periods obtained by dividing the estimation target period every hour. In this case, the adjustment value determination unit 107 determines an adjustment value for each of the plurality of individual periods based on the character string data. Then, the power consumption adjustment unit 111 adjusts the power consumption in each of the plurality of individual periods with the adjustment value for each of the plurality of individual periods, and obtains the estimated power amount in the estimation target period. The power consumption adjustment unit 111 transmits information indicating the estimated power amount in the estimation target period to the schedule adjustment unit 202.

The schedule information storage unit 201 stores schedule information that is information indicating the control schedule of the air conditioner. The schedule information indicates the control schedule of the air conditioner during the estimation target period. As the simplest control schedule, for example, a control schedule indicating that control is performed at a preset temperature (for example, 26 ° C.) during the estimation target period can be considered. The schedule information storage unit 201 has a function of transmitting schedule information to the schedule information storage unit 201 in accordance with a request from the power consumption estimation unit 103. The function of the schedule information storage unit 201 is realized by the cooperation of the processor 21 and the first communication interface 23, for example.

The schedule adjustment unit 202 adjusts the air conditioning schedule so that the estimated electric energy does not exceed the target electric energy when the estimated electric energy exceeds the predetermined target electric energy. For example, the schedule adjustment unit 202 obtains an individual target power amount that is a target power amount for each individual period by allocating the target power amount to the plurality of individual periods. Then, the schedule adjustment unit 202 reduces the power consumption in order from the individual period in which the difference between the individual estimated power amount that is the estimated power amount for each individual period and the individual target power amount that is the target power amount for each individual period is large. Adjust the control contents as follows. The schedule adjustment unit 202 repeats the process of adjusting the control content until the estimated power amount becomes equal to or less than the target power amount. The function of the schedule adjustment unit 202 is realized by the function of the processor 21, for example.

The air conditioning control unit 203 controls the air conditioner according to the air conditioning schedule adjusted by the schedule adjustment unit 202. That is, the air conditioning control unit 203 controls the outdoor unit 310, the indoor unit 320, and the indoor unit 330 according to the air conditioning schedule indicated by the adjusted schedule information stored in the schedule information storage unit 201. The function of the air conditioning control unit 203 is realized, for example, by the cooperation of the processor 21 and the second communication interface 24.

Next, the power consumption estimation process executed by the power consumption estimation apparatus 100 will be described with reference to the flowchart of FIG. The power consumption estimation process is executed, for example, in response to an operation for instructing the start of the power consumption estimation process being received on the touch screen 13 included in the power consumption estimation apparatus 100.

First, the processor 11 acquires weather forecast data (step S101). For example, the processor 11 transmits the weather forecast data request information to the first server 510 via the second communication interface 15. Then, the processor 11 receives weather forecast data from the first server 510 via the second communication interface 15. Note that the weather forecast data is data indicating the weather forecast in the estimation target period for each predetermined period. The estimation target period is, for example, one month from the current time to one month later. The predetermined period is, for example, a period for every day. Note that power consumption is estimated in units of one hour, and the length of the individual period is one hour.

When the processor 11 completes the process of step S101, it acquires schedule information (step S102). For example, the processor 11 transmits schedule information request information to the air conditioning control device 200 via the first communication interface 14. Then, the processor 11 receives schedule information from the air conditioning control device 200 via the first communication interface 14. Schedule information shall show the schedule of the air conditioner in an estimation object period for every said individual period, for example.

Processor 11 will estimate power consumption, if the process of step S102 is completed (step S103). For example, the processor 11 estimates the power consumption in the estimation target period for each individual period based on weather forecast data, schedule information, and power consumption information. That is, the processor 11 estimates the power consumption from the current time to one month later in units of one hour.

When the processor 11 completes the process of step S103, it acquires character string data (step S104). For example, the processor 11 transmits request information of character string data to the second server 520 via the second communication interface 15. Then, the processor 11 receives character string data from the second server 520 via the second communication interface 15. For example, the processor 11 accesses five news sites with the newest update date among news sites managed by the second server 520, and acquires character string data from the five news sites.

After completing the process of step S104, the processor 11 extracts terms from the character string data (step S105). For example, the processor 11 extracts terms indicated as weather-related terms, time-related terms, or region-related terms from the character string data based on the term information. For example, the processor 11 stores information indicating the extracted terms and the extraction position in the flash memory 12.

When the processor 11 completes the process of step S105, the processor 11 executes an adjustment value determination process (step S106). The adjustment value determination process will be described in detail with reference to the flowchart shown in FIG.

First, the processor 11 selects a weather-related term from the extracted terms (step S201). When completing the process of step S201, the processor 11 determines whether there is a time-related term corresponding to the weather-related term (step S202). For example, the processor 11 determines whether there is a time-related term extracted from one sentence from which the selected weather-related term is extracted. When determining that there is no time-related term corresponding to the weather-related term (step S202: NO), the processor 11 returns the process to step S201.

When the processor 11 determines that there is a time-related term corresponding to the weather-related term (step S202: YES), the processor 11 determines whether there is a region-related term corresponding to the weather-related term (step S203). For example, the processor 11 determines whether there is a region-related term extracted from one sentence from which the selected weather-related term is extracted. If the processor 11 determines that there is no region-related term corresponding to the weather-related term (step S203: NO), the process returns to step S201.

If the processor 11 determines that there is a region-related term corresponding to the weather-related term (step S203: YES), the processor 11 determines whether the region indicated by the region-related term is an air conditioner installation region (step S204). Note that the processor 11 identifies the region indicated by the region-related term based on the region information. Moreover, the processor 11 can identify the installation area of an air conditioner based on the installation place information memorize | stored in the flash memory 22, for example. If the processor 11 determines that the region indicated by the region-related term is not the region where the air conditioner is installed (step S204: NO), the processor 11 returns the process to step S201.

If the processor 11 determines that the region indicated by the region-related terms is the region where the air conditioner is installed (step S204: YES), the processor 11 determines an adjustment value (step S205). For example, the processor 11 determines the adjustment value associated with the weather related term selected by the weather information as the adjustment value at the time associated with the time related term corresponding to the weather related term selected by the time information. For example, in the cooling season, the selected weather-related term is “rain shower”, and the time-related term “dawn” and the region-related term “eastern Kanagawa” are extracted from the sentence where “rain shower” is extracted. When the installation area of the air conditioner is “Yokohama City”, an adjustment value of −1 kW is determined with respect to the estimated power consumption at 3 o'clock of the air conditioner.

In this case, the adjustment value is stored in the flash memory 12 as information indicating, for example, “3 o'clock, −1 kW”. In the case where the area where the air conditioner is installed is determined in the subsequent process, for example, the process of step S204 is skipped, and the adjustment value is, for example, information indicating “3 o'clock, Yokohama, −1 kW”. Is remembered. When completing the process of step S205, the processor 11 determines whether there is an unselected weather-related term (step S206). When determining that there is an unselected weather-related term (step S206: YES), the processor 11 returns the process to step S201. On the other hand, when determining that there is no unselected weather-related term (step S206: NO), the processor 11 completes the adjustment value determination process in step S106.

When the processing of step S106 is completed, the processor 11 adjusts the estimated power consumption with the determined adjustment value (step S107). That is, the determined adjustment value is added to the estimated power consumption at the adjustment target time. When completing the process of step S107, the processor 11 transmits the estimated power information to the air conditioning control device 200 (step S108). The estimated power information is information indicating, for example, an adjusted estimated power consumption value every hour. When completing the process of step S108, the processor 11 completes the power consumption estimation process.

Next, the schedule adjustment process executed by the air conditioning control device 200 will be described with reference to FIG.

First, the processor 21 determines whether or not estimated power information has been received from the power consumption estimation apparatus 100 (step S301). When determining that the estimated power information has not been received from the power consumption estimating apparatus 100 (step S301: NO), the processor 21 returns the process to step S301. On the other hand, when determining that the estimated power information has been received from the power consumption estimating apparatus 100 (step S301: YES), the processor 21 specifies the target power amount in the estimation target period (step S302). The target power amount is set based on, for example, an operation performed on the touch screen 13. In the present embodiment, it is assumed that information indicating the target power amount is stored in the flash memory 22 in advance.

When the processing of step S302 is completed, the processor 21 calculates an estimated power amount in the estimation target period (step S303). For example, the processor 21 calculates the estimated power amount per hour from the estimated power per hour indicated by the estimated power information, and calculates the sum of the calculated estimated power amount for the estimation target period as the estimated power in the estimation target period. Calculated as a quantity. When completing the process of step S303, the processor 21 determines whether or not the estimated power amount exceeds the target power amount (step S304). When determining that the estimated power amount does not exceed the target power amount (step S304: NO), the processor 21 completes the schedule adjustment process.

If the processor 21 determines that the estimated power amount exceeds the target power amount (step S304: YES), the processor 21 specifies the time when the excess power amount is the largest (step S305). When completing the process of step S305, the processor 21 determines whether or not the control at the specified time can be changed (step S306). For example, in the cooling period, it is determined whether or not the set temperature at the specified time is lower than the maximum set temperature in the cooling operation.

If the processor 21 determines that the control at the specified time cannot be changed (step S306: NO), the processor 21 returns the process to step S305 and specifies the time when the excess power amount is the next largest. When the processor 21 determines that the control at the specified time can be changed (step S306: YES), the processor 21 changes the control at the specified time (step S307). When completing the process of step S307, the processor 21 returns the process to step S304.

In this embodiment, the power consumption of the air conditioner is estimated based on weather forecast data and character string data. More specifically, the power consumption of the air conditioner is estimated based on weather forecast data, an adjustment value for power consumption is determined based on character string data, and the estimated power consumption is adjusted with the determined adjustment value. . Therefore, according to this embodiment, the power consumption of an air conditioner can be estimated stably with high accuracy.

In this embodiment, the adjustment amount is specified based on the weather-related terms, the adjustment target time is specified based on the time-related terms, and the adjustment target region is specified based on the region-related terms. Therefore, according to the present embodiment, the adjustment amount, the adjustment target time, and the adjustment target area can be specified from the character string data, and the estimated power consumption can be adjusted appropriately.

(Embodiment 2)
In the first embodiment, the example in which the predicted value of the power consumption is adjusted by the adjustment amount corresponding to the weather-related term has been described if at least one weather-related term is included in the character string indicated by the character string data. . However, there are cases where it is not desirable to adjust the power consumption because only one weather-related term is included in the character string. In the present embodiment, a method for determining whether or not the power consumption is adjusted based on the certainty factor associated with the weather-related term and the number of appearances of the weather-related term will be described.

∙ This certainty can be considered to be a degree to which weather-related terms can be trusted. For example, the certainty factor is a value from 0 to 1. A certainty factor of 0 means that weather related terms are not reliable at all. On the other hand, a certainty factor of 1 means that the reliability of weather-related terms is extremely high. In other words, the higher the certainty level, the higher the reliability of weather-related terms. In the present embodiment, the power consumption is adjusted when the product of the certainty factor and the number of appearances is 1 or more. For example, if a weather-related term having a certainty factor of 1 appears even once, the power consumption is adjusted. On the other hand, power consumption is not adjusted unless a weather-related term having a certainty factor of 0.01 appears 100 times.

In this embodiment, when the character string data indicating one character string including two or more identical weather related terms is acquired once, it is considered that the number of appearances of this weather related term is one. This is because it is considered undesirable to increase credibility based only on information acquired from the same information source. However, when character string data indicating one character string including two or more identical weather-related terms is acquired once, it may be considered that the number of appearances of this weather-related term is two or more. In the first embodiment, an example is shown in which 1 is associated with all weather-related terms as a certainty factor.

As shown in FIG. 11, the power consumption estimation apparatus 120 according to the present embodiment functionally includes a first data acquisition unit 101, a second data acquisition unit 102, a power consumption estimation unit 103, and power consumption information. Storage unit 104, term extraction unit 105, term information storage unit 106, adjustment value determination unit 107, adjustment value information storage unit 108, time information storage unit 109, area information storage unit 110, and power consumption adjustment In addition to the unit 111, a measured power information acquisition unit 112, an adjustment value update unit 113, and a certainty factor update unit 114 are provided. The adjustment value update unit corresponds to, for example, the adjustment value update unit 113. The certainty factor updating means corresponds to the certainty factor updating unit 114, for example.

As shown in FIG. 12, the adjustment value information according to the present embodiment is information indicating a correspondence relationship between a weather-related term, an adjustment value, and a certainty factor. In FIG. 12, for example, the certainty factor associated with the weather-related term that the umbrella is taken in the cooling period is 0.3, and the certainty factor associated with the weather-related term that withered in the dry period is 0.3. An example of 0.05 is shown. For example, the dry season is basically a season in which the air is dry, and is a season in which dehumidifying operation is recommended. The term to bring an umbrella will adjust power consumption when it appears four times. On the other hand, when the term “withered” appears 20 times, the power consumption is adjusted.

Measured power information acquisition unit 112 acquires measured power information indicating the actual value of power consumption of the air conditioner. The measured power information acquisition unit 112 acquires measured power information from the power measurement device 400, for example. The function of the measured power information acquisition unit 112 is realized by the cooperation of the processor 11 and the first communication interface 14, for example.

The adjustment value update unit 113 updates the adjustment value associated with the first weather related term by the adjustment value information based on the first actual value and the second actual value. The first performance value is a performance value of power consumption when the first weather-related term is included in the character string (hereinafter referred to as “when the term appears” as appropriate). More specifically, the first actual value includes a first weather related term, a first time related term, and a first region related term in one character string, and an air conditioner is installed in the first region. Is the actual value of the power consumption of the air conditioner at the first time. The first region is a region associated with the first region-related term by the region information. The first time is a time associated with the first time-related term by the time information.

The second actual value is an actual value of power consumption when the first weather-related term is not included in the character string (hereinafter referred to as “when the term does not appear” as appropriate). More specifically, the second actual value is an actual value of power consumption of the air conditioner at the second time. The second time is a time other than the time associated with the time-related term included in one character string together with the first weather-related term and the first region-related term based on the time information. In addition, the second time is the same time as the first time, for example, with the operating conditions specified by the control content indicated by the air conditioning schedule and the external environment indicated by the weather forecast. The control content is specified by, for example, the operation mode and the set temperature. The external environment is specified by, for example, the weather and the outside temperature.

Here, for example, the difference between the first actual value and the second actual value is set as a new adjustment amount. Further, when the first actual value is larger than the second actual value, the adjustment characteristic is set to +, and when the first actual value is smaller than the second actual value, the adjustment characteristic is set to −. A 1st track record value and a 2nd track record value are specified from measured electric power information, for example. The function of the adjustment value update unit 113 is realized by the function of the processor 11, for example.

Here, the adjustment value determination unit 107 calculates the number of times the character string data indicating the character string including the first weather-related term is acquired, and the certainty factor associated with the first weather-related term by the adjustment value information. When the multiplication value exceeds a predetermined threshold value, the first adjustment value is determined as the adjustment value.

The certainty factor updating unit 114 updates the certainty factor associated with the first weather-related term by the adjustment value information based on the first actual value and the second actual value. For example, the certainty factor updating unit 114 updates the certainty factor such that the smaller the variation of the first performance value, the higher the certainty factor. The function of the certainty factor update unit 114 is realized by the function of the processor 11, for example.

Next, the adjustment value determination process executed by the power consumption estimation apparatus 120 will be described with reference to the flowchart shown in FIG.

First, the processor 11 selects a weather-related term from the extracted terms (step S401). When completing the process of step S401, the processor 11 determines whether or not there is a time-related term corresponding to the weather-related term (step S402). When determining that there is no time-related term corresponding to the weather-related term (step S402: NO), the processor 11 returns the process to step S401.

When the processor 11 determines that there is a time-related term corresponding to the weather-related term (step S402: YES), the processor 11 determines whether there is a region-related term corresponding to the weather-related term (step S403). If the processor 11 determines that there is no region-related term corresponding to the weather-related term (step S403: NO), the processor 11 returns the process to step S401.

If the processor 11 determines that there is a region-related term corresponding to the weather-related term (step S403: YES), it determines whether the region indicated by the region-related term is an air conditioner installation region (step S404). If the processor 11 determines that the region indicated by the region-related terms is not the region where the air conditioner is installed (step S404: NO), the processor 11 returns the process to step S401.

If the processor 11 determines that the region indicated by the region-related terms is the region where the air conditioner is installed (step S404: YES), the processor 11 increments the count value (step S405). This count value is, for example, a count value counted by a counter prepared for each combination of weather-related terms, time-related terms, and region-related terms. This count value is stored in the flash memory 12, for example. When completing the process in step S405, the processor 11 determines whether or not the product of the count value and the certainty factor is equal to or greater than a threshold value (step S406). This threshold is 1, for example.

If the processor 11 determines that the product of the count value and the certainty factor is greater than or equal to the threshold (step S406: YES), the processor 11 determines an adjustment value (step S407). When it is determined that the product of the count value and the certainty factor is not equal to or greater than the threshold (step S406: NO), or when the process of step S407 is completed, the processor 11 determines whether there is an unselected weather-related term. A determination is made (step S408). When determining that there is an unselected weather-related term (step S408: YES), the processor 11 returns the process to step S401. On the other hand, when determining that there is no unselected weather-related term (step S408: NO), the processor 11 completes the adjustment value determination process.

Next, update processing executed by the power consumption estimation apparatus 120 will be described with reference to the flowchart shown in FIG. The update process is basically a process for updating the adjustment value indicated by the adjustment value information and the certainty factor indicated by the adjustment value information. The update process is executed, for example, every time a predetermined time elapses. This time is, for example, one month.

First, the processor 11 selects a weather related term indicated by the term information (step S501). When completing the process of step S501, the processor 11 collects the actual value of the power consumption when the term does not appear (step S502). When completing the process of step S502, the processor 11 calculates an average value of power consumption when the term does not appear (step S503). When completing the process of step S503, the processor 11 collects the actual value of the power consumption when the term appears (step S504). When completing the process of step S504, the processor 11 calculates an average value of power consumption when the term appears (step S505).

When the processing of step S505 is completed, the processor 11 sets a difference between the average power consumption value when the term does not appear and the average power consumption value when the term appears as a new adjustment value (step S506). When completing the process of step S506, the processor 11 calculates the standard deviation of the power consumption when the term appears (step S507). When completing the process of step S507, the processor 11 sets the certainty factor based on the standard deviation as a new certainty factor (step S508).

Referring to FIG. 15, the distribution of power consumption when terms appear will be described. In FIG. 15, the position of the average value of the power consumption when the term does not appear is shown as 0. Point P1, point P2, point P3, point P4, point P5, and point P6 are points indicating six power consumptions when the term appears. Point S1 is a point indicating the average value of these six power consumptions. The distance from 0 to the point S1 corresponds to the adjustment value. When the point S1 is on the right side of 0, that is, when the average value of the power consumption when the term appears is larger than the average value of the power consumption when the term does not appear, the adjustment characteristic is set to +. On the other hand, if the point S1 is on the left side of 0, that is, if the average power consumption when the term appears is smaller than the average power consumption when the term does not appear, the adjustment characteristic is set to-.

Also, the frame S2 indicates the variation degree of the six power consumptions when the term appears. The longer the frame S2 is in the horizontal direction, the greater the variation in power consumption when a term appears, and the greater the variance and standard deviation of power consumption when the term appears. Here, as shown in FIG. 16, the certainty factor is set to six values based on the standard deviation of the power consumption at the time of the term appearance and the average value of the power consumption at the time of the term appearance. As shown in FIG. 16, a higher certainty factor is set as the standard deviation with respect to the average value is smaller. That is, the smaller the variation in power consumption when a term appears, the higher the certainty factor is set.

After completing the process of step S508, the processor 11 determines whether there is an unselected weather-related term (step S509). When determining that there is an unselected weather-related term (step S509: YES), the processor 11 returns the process to step S501. On the other hand, when determining that there is no unselected weather-related term (step S509: YES), the processor 11 completes the update process.

In this embodiment, based on the certainty factor associated with the weather related term and the appearance frequency of the weather related term, it is determined whether or not the adjustment is performed with the adjustment value associated with the weather related term. Therefore, according to this embodiment, it can be expected that the estimated value of power consumption is appropriately adjusted.

Further, in the present embodiment, the adjustment value and the certainty factor associated with the weather-related term are updated based on the actual power consumption value when the term appears and the actual power value when the term does not appear. Therefore, according to this embodiment, it can be expected that the estimated value of power consumption is adjusted more appropriately.

(Modification)
As mentioned above, although embodiment of this invention was described, when implementing this invention, a deformation | transformation and application with a various form are possible.

In the present invention, which part of the configuration, function, and operation described in the above embodiment is adopted is arbitrary. Further, in the present invention, in addition to the configuration, function, and operation described above, further configuration, function, and operation may be employed. Moreover, the structure, function, and operation | movement demonstrated in the said embodiment can be combined freely.

For example, in the first embodiment, the example in which the power consumption estimation apparatus 100 is included in the air conditioning system 1000 has been described. The power consumption estimation apparatus 100 may not be included in the air conditioning system 1000. Moreover, the power consumption estimation apparatus 100 may be incorporated in the air conditioning control apparatus 200. Needless to say, the number of the first server 510, the second server 520, the indoor unit 320, or the indoor unit 330 is not limited to the example shown in the first embodiment.

In the first embodiment, when the estimated power amount exceeds the target power amount, the example in which the air conditioning schedule is adjusted so that the power consumption amount is sequentially reduced from the time when the excess power is the largest is described. In the present invention, the method of adjusting the air conditioning schedule is not limited to this example. For example, the air conditioning schedule may be adjusted in consideration of user comfort.

For example, it is preferable that the schedule adjustment unit 202 adjusts the air conditioning schedule so that the power consumption is reduced in order from the individual period in which the comfort reduction rate with respect to the power consumption reduction amount is low among the plurality of individual periods. . It is preferable that information indicating the comfort reduction rate for each individual period is stored in the flash memory 22 in advance. This information may be generated based on a user operation on the touch screen 13, for example.

Or the schedule adjustment part 202 adjusts an air-conditioning schedule so that power consumption may be reduced in order from the space where the responsiveness of the temperature change at the time of air-conditioning execution is low among a plurality of spaces air-conditioned by a plurality of air conditioners. Is preferred. The space with low responsiveness is, for example, a space where people are changed rapidly, such as in a store. On the other hand, a space with high responsiveness is a space where there is little movement of people, such as a space in an office. It is preferable that information indicating this responsiveness for each space is stored in the flash memory 22 in advance. This information may be generated based on a user operation on the touch screen 13, for example. In this case, it is assumed that there are a plurality of air conditioners that execute each of the plurality of spaces.

Embodiment 1 has described an example in which the adjustment target time is specified by a time-related term included in a character string indicated by character string data. The adjustment target time may be specified by information other than time-related terms. For example, when the time when the character string data is updated can be specified, the adjustment target time may be specified from this time. Similarly, the adjustment target area may be specified by information other than area-related terms. For example, when the update source area of the character string data can be specified, the adjustment target area may be specified from this area.

In Embodiment 2, the example in which the certainty factor is updated has been described. The certainty factor may not be updated. The term information, adjustment value information, time information, area information, power consumption information, or schedule information may be updated as appropriate.

By applying an operation program that defines the operation of the power consumption estimation apparatus 100, the power consumption estimation apparatus 120, or the air conditioning control apparatus 200 according to the present invention to an existing personal computer or information terminal device, the personal computer or the like is It is also possible to function as the power consumption estimation apparatus 100, the power consumption estimation apparatus 120, or the air conditioning control apparatus 200 according to the invention. The distribution method of such a program is arbitrary. For example, the program is stored and distributed on a computer-readable recording medium such as a CD-ROM (Compact Disk Read-Only Memory), a DVD (Digital Versatile Disk), or a memory card. Alternatively, it may be distributed via a communication network such as the Internet.

The present invention is capable of various embodiments and modifications without departing from the broad spirit and scope of the present invention. Further, the above-described embodiment is for explaining the present invention, and does not limit the scope of the present invention. That is, the scope of the present invention is shown not by the embodiments but by the claims. Various modifications within the scope of the claims and within the scope of the equivalent invention are considered to be within the scope of the present invention.

The present invention is applicable to an air conditioning system.

11, 21 processor, 12, 22 flash memory, 13 touch screen, 14, 23 first communication interface, 15, 24 second communication interface, 100, 120 power consumption estimation device, 101 first data acquisition unit, 102 second data Acquisition unit, 103, power consumption estimation unit, 104, power consumption information storage unit, 105 term extraction unit, 106 term information storage unit, 107 adjustment value determination unit, 108 adjustment value information storage unit, 109 time information storage unit, 110 area information storage Unit, 111 power consumption adjustment unit, 112 measured power information storage unit, 113 adjustment value update unit, 114 confidence factor update unit, 200 air conditioning control device, 201 schedule information storage unit, 202 schedule adjustment unit, 203 air conditioning control unit, 310 outdoor Machine, 320, 330 room , 400 power measuring apparatus, 510 a first server, 520 second server, 610 and 620 communication network 1000 air-conditioning system

Claims

First data acquisition means for acquiring weather forecast data indicating a weather forecast from the first server;
Second data acquisition means for acquiring character string data indicating a character string including weather-related terms related to weather from the second server;
Based on the weather forecast data, power consumption estimation means for estimating the power consumption of the air conditioner,
Adjustment value determining means for determining an adjustment value for the power consumption based on the character string data;
Power consumption adjusting means for adjusting the power consumption by the adjustment value,
Power consumption estimation device.
Adjustment value information storage means for storing adjustment value information indicating a correspondence relationship between the weather-related terms and the adjustment value;
The adjustment value determination unit is a first adjustment that is an adjustment value associated with the first weather-related term by the adjustment value information when the character string includes the first weather-related term that is the weather-related term. A value is determined as the adjustment value;
The power consumption estimation apparatus according to claim 1.
A time information storage means for storing time information indicating a correspondence relationship between the time related terms related to the time and the time;
The adjustment value determining means includes a first time-related term that is the time-related term in the character string, and the first weather-related term and the first time-related term are predetermined in the character string. If there is a relationship, the time associated with the first time-related term by the time information is determined as the time adjusted by the first adjustment value.
The power consumption estimation apparatus according to claim 2.
A region information storage unit for storing region information indicating a correspondence relationship between the region-related terms and the region and the region;
The adjustment value determining means includes a first region-related term that is the region-related term in the character string, and the first weather-related term and the first region-related term are predetermined in the character string. If the air conditioner is located in a region associated with the first region-related term by the region information, the first adjustment value is determined as the adjustment value.
The power consumption estimation apparatus according to claim 2 or 3.
Based on the actual value of power consumption when the first weather related term is included in the character string and the actual value of power consumption when the first weather related term is not included in the character string, Adjustment value updating means for updating an adjustment value associated with the first weather-related term by the adjustment value information;
The power consumption estimation apparatus according to any one of claims 2 to 4.
The adjustment value information is information indicating a correspondence relationship between the weather-related terms, the adjustment value, and the certainty factor,
The adjustment value determining means includes the number of times character string data indicating a character string including the first weather-related term is acquired, and a certainty factor associated with the first weather-related term by the adjustment value information. When the multiplication value exceeds a predetermined threshold, the first adjustment value is determined as the adjustment value;
The power consumption estimation apparatus according to any one of claims 2 to 5.
Based on the actual value of power consumption when the first weather related term is included in the character string and the actual value of power consumption when the first weather related term is not included in the character string, A certainty factor updating means for updating the certainty factor associated with the first weather-related term by the adjustment value information;
The power consumption estimation apparatus according to claim 6.
An air conditioning system comprising the power consumption estimation device according to any one of claims 1 to 7, an air conditioning control device, and the air conditioner,
The power consumption estimation means estimates power consumption in each of a plurality of individual periods included in the period based on the weather forecast data and an air conditioning schedule for a predetermined period.
The adjustment value determining means determines an adjustment value for each of the plurality of individual periods based on the character string data;
The power consumption adjusting means adjusts the power consumption in each of the plurality of individual periods by an adjustment value for each of the plurality of individual periods, and obtains an estimated power amount in the period,
The air conditioning control device
A schedule adjusting means for adjusting the air conditioning schedule so that the estimated power amount does not exceed the target power amount when the estimated power amount exceeds a predetermined target power amount;
Air conditioning control means for controlling the air conditioner according to the air conditioning schedule adjusted by the schedule adjustment means,
Air conditioning system.
Get weather forecast data showing the weather forecast from the first server,
Acquires character string data indicating a character string including weather-related terms related to the weather from the second server,
Based on the weather forecast data and the character string data, the power consumption of the air conditioner is estimated.
Power consumption estimation method.
Computer
First data acquisition means for acquiring weather forecast data indicating a weather forecast from the first server;
Second data acquisition means for acquiring character string data indicating a character string including weather-related terms related to weather from the second server;
Based on the weather forecast data, power consumption estimation means for estimating the power consumption of the air conditioner,
An adjustment value determining means for determining an adjustment value for the power consumption based on the character string data;
Function as power consumption adjusting means for adjusting the power consumption by the adjustment value;
program.