JP7036600B2 - Energy inflow / outflow prediction system - Google Patents

Description

The present invention relates to an energy inflow / outflow prediction system.

An air conditioning control system that controls the operation of air conditioning equipment according to the energy management status of the facility is known. For example, Patent Document 1 describes a technique for collecting the energy management status of each facility, generating information necessary for energy management of the facility, and instructing the energy operation manager of each facility. Further, Patent Document 2 describes a technique for remotely proposing energy saving. Further, Patent Document 3 describes a technique for analyzing energy consumption. Patent Document 4 describes a technique for controlling air conditioning based on the temperature of the surface of clothing. Patent Document 5 describes a technique for controlling air conditioning based on the surface temperature of furniture.

Japanese Unexamined Patent Publication No. 2000-270379 Japanese Unexamined Patent Publication No. 2002-295940 Japanese Unexamined Patent Publication No. 2013-02307 Japanese Unexamined Patent Publication No. 2005-306196 Japanese Unexamined Patent Publication No. 05-31273

In large-scale commercial facilities, it is desirable to control air conditioning to ensure the comfort of visitors and save energy. Automatic doors are installed in such equipment, and the automatic doors open and close each time a person enters and exits, so that the air-conditioned air and the outside air are exchanged, the air-conditioning effect is reduced, and energy loss occurs.

In such commercial facilities, the number of people entering and exiting varies depending on the time of day. For example, if the number of people entering and exiting a facility increases rapidly at the time of opening, the air conditioning loss due to air replacement will increase significantly, but the air conditioning capacity cannot immediately follow the change, and the comfort of air conditioning may decrease. .. Further, at this time, the operation of the air conditioner suddenly increases, so that the energy efficiency decreases. On the contrary, when the number of people entering and exiting the store is suddenly reduced, the amount of energy outflow is greatly reduced, but the air conditioning capacity cannot be followed immediately, and unnecessary operation is temporarily continued.

As described above, in the conventional air conditioning control system, the time lag of the change in the air conditioning capacity with respect to the change in the number of people entering and leaving the room has been a cause of reducing the comfort and energy efficiency of the air. Furthermore, humans are a heat source, and their entry and exit are equivalent to the entry and exit of heat sources, and from this point of view, the rapid change in the number of people entering and exiting was one of the factors that reduced comfort and energy efficiency. In order to control the air conditioning corresponding to energy saving and comfort, it is conceivable to control the air conditioning equipment by predicting the future energy inflow and outflow. However, with the conventional technology, there is a problem that it is difficult to accurately predict the amount of energy inflow and outflow.
Such a problem may occur not only in the air conditioning control system but also in various control systems.

The present invention has been made in view of these problems, and an object of the present invention is to provide a prediction system capable of accurately predicting future energy inflow and outflow.

In order to solve the above problems, the energy inflow / outflow prediction system according to an embodiment of the present invention predicts the amount of energy flowing in and out from each automatic door of a commercial facility in which a plurality of automatic doors are arranged. A database that stores the past temperature changes around each automatic door in a commercial facility and the past changes in traffic volume of each automatic door, and the temperature around each automatic door from the specified time to the present from the database. Data similar to the change in the automatic door and the change in the traffic volume of each automatic door from the relevant time to the present is extracted, and the future temperature change around each automatic door and the traffic volume of each automatic door are viewed in time series of the similar data. It is equipped with a prediction unit that predicts the amount of energy flowing in and out of each automatic door from the change in the automatic door.

According to this aspect, each of the past of the facility stored in the database based on the change in the temperature around each automatic door from a predetermined time to the present and the change in the traffic volume of each automatic door from the time to the present. Based on the temperature change around the automatic door and the past change in the traffic volume of each automatic door, the amount of energy flowing in and out of each automatic door from the future temperature change around each automatic door and the change in the traffic volume of each automatic door is calculated. Since it is predicted, it is possible to accurately predict the future energy inflow and outflow. According to this aspect, it is possible to know information for performing air conditioning control that achieves both energy saving and comfort.

Another aspect of the present invention is also an energy inflow / outflow prediction system. This energy inflow / outflow prediction system is an energy inflow / outflow prediction system that predicts the amount of energy flowing in and out from each automatic door of a commercial facility in which a plurality of automatic doors are arranged, and is an energy inflow / outflow prediction system for commercial facilities and other commercial facilities. A database that stores past changes in the temperature around each automatic door and changes in the past traffic volume of each automatic door, and changes in the temperature around each automatic door from the specified time to the present from the database and the corresponding change in each automatic door. Data similar to the change in traffic volume from the time to the present is extracted, and it flows out from each automatic door from the future temperature change around each automatic door and the change in traffic volume of each automatic door in the time series of the similar data. It is provided with a prediction unit that predicts the amount of energy to be input.

According to this aspect, the facility and other facilities stored in the database based on the change in temperature around each automatic door from a predetermined time to the present and the change in traffic volume of each automatic door from that time to the present. Based on the past temperature changes around each automatic door and the past changes in the traffic volume of each automatic door, the inflow and outflow from each automatic door will be based on the future temperature changes around each automatic door and changes in the traffic volume of each automatic door. Since the amount of energy to be generated is predicted, it is possible to accurately predict the amount of energy inflow and outflow in the future.

It should be noted that any combination of the above components and the components and expressions of the present invention are interchanged between methods, devices, programs, temporary or non-temporary storage media on which programs are recorded, systems, and the like. Is also effective as an aspect of the present invention.

INDUSTRIAL APPLICABILITY According to the present invention, it is possible to provide a prediction system capable of accurately predicting future energy inflow and outflow.

It is a block diagram which shows an example of the energy inflow / outflow amount prediction system which concerns on 1st Embodiment. It is a block diagram which shows the example which applied the energy inflow / outflow prediction system of FIG. 1 to a commercial facility. It is a block diagram which shows an example of the energy inflow / outflow amount prediction system which concerns on 2nd Embodiment. It is a block diagram which shows the example which applied the energy inflow / outflow prediction system of FIG. 3 to a commercial facility.

Hereinafter, the present invention will be described with reference to each drawing based on a preferred embodiment. In the embodiments and modifications, the same or equivalent components and members are designated by the same reference numerals, and duplicate description thereof will be omitted as appropriate. Further, the dimensions of the members in each drawing are shown in an appropriately enlarged or reduced size for easy understanding. In addition, some of the members that are not important for explaining the embodiment in each drawing are omitted and displayed.

[First Embodiment]
The first embodiment of the present invention is an energy inflow / outflow prediction system for a large-scale commercial facility. FIG. 1 is a block diagram showing an example of the configuration of the energy inflow / outflow amount prediction system 100 according to the first embodiment. FIG. 2 is a block diagram showing an example in which the energy inflow / outflow prediction system 100 is applied to the commercial facility 60. The commercial facility 60 is provided with a plurality of automatic doors 30. In the example of FIG. 2, automatic doors 30 are provided at seven locations in the commercial facility 60. The energy inflow / outflow prediction system 100 mainly includes a prediction unit 10, a data acquisition unit 16, and a past history information database 18.

The energy inflow / outflow prediction system 100 includes data acquired from the temperature sensor 14 and the traffic volume sensor 12 provided in the commercial facility 60, and weather, seasons, days, holidays, etc. held in the data acquisition unit 16. Based on the variable information including the above, the future energy inflow / outflow amount of the commercial facility 60 is predicted based on the reference information recorded in the past history information database 18, and the prediction result is output. The air conditioning control device 26 controls air conditioning based on the prediction result.

The temperature sensor 14 detects the temperature inside and outside the commercial facility 60 and sends the detection result to the prediction unit 10. As the temperature sensor 14, various known sensors can be used. In the example of FIG. 2, the temperature sensor 14 is provided in each automatic door 30 provided at seven locations in the commercial facility 60. The temperature sensor 14 includes an indoor sensor arranged on the indoor side of each automatic door 30 and an outdoor sensor arranged on the outdoor side. It is possible to appropriately detect the temperature around the automatic door 30, which changes its temperature immediately when the door is opened and closed.

The traffic volume sensor 12 detects the traffic volume of each automatic door 30 and sends the detection result to the prediction unit 10. As the traffic volume sensor 12, various known sensors can be used. In this example, the traffic volume sensor 12 is provided in each automatic door 30 provided at seven locations in the commercial facility 60. The traffic volume sensor 12 may be a dedicated sensor, but in the example of FIG. 2, the traffic volume sensor 12 is also used as the automatic door sensor 32 of the automatic door 30. The automatic door sensor 32 is a sensor for detecting a passerby and controlling the opening / closing of the door, and can detect the traffic volume of the automatic door 30 from the number of times the door is opened / closed.

(Data acquisition department)
The amount of energy for air conditioning fluctuates day by day due to various fluctuating factors. Therefore, the first embodiment includes a data acquisition unit 16 in order to grasp the factors of fluctuations in the amount of energy from day to day. The data acquisition unit 16 acquires correction data for correcting fluctuation factors in order to correct the prediction of the amount of energy, and sends the acquisition result to the prediction unit 10. The correction data may be one or more of the weather, season, day of the week / holiday type of the day. The weather on the day may include temperature, humidity, rainfall, wind speed, and the like. The energy inflow / outflow prediction system 100 can correct the prediction of the energy amount according to any one or more of the weather (temperature, humidity, rainfall, wind speed, etc.), the season, the day of the week, and the holidays of the day.

(Past history information database)
The past history information database 18 is a database that stores the temperature changes around the past automatic doors 30 of the commercial facility 60 and the past changes in the traffic volume of each automatic door 30. Hereinafter, the information stored in the past history information database 18 is referred to as "temperature traffic pattern information". The temperature traffic pattern information can be constructed by collecting and analyzing the correlation between the temperature change and the traffic volume change of the commercial facility 60 over a long period of time (for example, one year or more). The past history information database 18 includes the temperature traffic pattern information constructed in this way as a multi-layer neural network. The temperature traffic pattern information may be constant, but in this example, the temperature traffic pattern information is updated according to the measurement results of the temperature change and the traffic volume change on a daily basis.

(Prediction department)
From the past history information database 18, the prediction unit 10 changes the temperature around each automatic door 30 from a predetermined time (for example, at the time of opening) to the present, and changes in the traffic volume of each automatic door 30 from that time to the present. Extract a temperature / traffic pattern similar to the pattern. The similarity between the detected pattern and the stored pattern can be evaluated by recognizing the characteristics of each pattern using artificial intelligence and comparing the recognition results. For example, if the slopes of the detected patterns are similar to the slopes of the stored patterns, these patterns may be evaluated as similar.

Further, the prediction unit 10 predicts the amount of energy flowing in and out of each automatic door 30 from the future temperature change around each automatic door 30 and the change in the traffic volume of each automatic door 30 in the time series of the similar data. be able to. The prediction result of the prediction unit 10 is output from the prediction result output unit 20, and controls each air conditioning device (not shown) of the commercial facility 60. By controlling the air conditioning equipment based on this prediction, it is possible to reduce the influence of the time lag of the change in the air conditioning capacity on the change in the number of people entering and leaving the room, and improve the comfort and energy efficiency of the air. By using the energy inflow / outflow prediction system 100, it is possible to know information for performing air conditioning control that achieves both energy saving and comfort. According to the energy inflow / outflow prediction system 100, changes in the temperature of the room or the like in the future can be predicted, so that the peak of the operation of the air conditioning equipment can be leveled.

[Second Embodiment]
Next, the energy inflow / outflow amount prediction system 200 according to the second embodiment of the present invention will be described with reference to FIGS. 3 and 4. FIG. 3 is a block diagram showing an example of the configuration of the energy inflow / outflow amount prediction system 200 according to the second embodiment. FIG. 4 is a block diagram showing an example in which the energy inflow / outflow prediction system 200 is applied to the commercial facility 60. The energy inflow / outflow amount prediction system 200 is different from the energy inflow / outflow amount prediction system 100 according to the first embodiment in that it includes a database 22 accumulating data of other commercial facilities, and the other configurations are the same. be. Here, duplicate explanations will be omitted, and the points different from the first embodiment will be mainly described.

If the data storage period of the past history information database 18 is short, it is conceivable that the temperature traffic pattern information is insufficient and the prediction accuracy of the energy inflow / outflow amount is lowered. In particular, in a newly built commercial facility, since there is no past information, the influence of this problem is large, and there is a possibility that air conditioning control that achieves both energy saving and comfort cannot be performed. Therefore, the energy inflow / outflow prediction system 200 includes a database 22 that stores data of other existing commercial facilities.

The database 22 is a database that stores the temperature changes around the past automatic doors of other existing commercial facilities and the past changes in the traffic volume of each automatic door, and is the same as the past history information database 18. Stores quantity pattern information. In the second embodiment, the prediction unit 10 changes the temperature around each automatic door 30 from a predetermined time (for example, at the time of opening) to the present from the past history information database 18 and the database 22, and the relevant automatic door 30. A temperature traffic pattern similar to the change pattern of traffic from time to the present is extracted. For the prediction in this case, the stored information of the two databases may be averaged and used, or the stored information of whichever is more probable may be used.

(Modification example)
In each embodiment, an example in which a prediction system predicts the future several hours ahead has been described, but the prediction system may be used to predict a longer-term future such as a day, a week, a month, or a year.
In order to improve the prediction accuracy, the thermography may be further provided and the surface temperature of the passerby may be measured. In this case, since the prediction can be made based on the traffic volume and the surface temperature, the energy inflow / outflow amount can be grasped more accurately.
The temperature sensor 14 may be built in the automatic door sensor 32 or may be provided separately from the automatic door sensor 32.
The traffic volume may be calculated based on the detection result of the indoor / outdoor automatic door sensor 32, or a dedicated traffic volume sensor may be provided by image processing using a camera.
The atmospheric pressure difference may be calculated from the temperature difference between the inside and outside of the automatic door 30, and the amount of energy inflow and outflow may be calculated according to the calculation result. The pressure difference between the inside and the outside may be measured by a differential pressure sensor.
In each embodiment, an example in which the automatic door 30 is provided at all the entrances / exits of the commercial facility 60 has been described, but a manual door may be provided at a part or all of the entrance / exit instead of the automatic door 30.

(Other variants)
Since the total amount of heat is not known only from the surface temperature of the occupants, it may not be possible to set the appropriate air conditioning. Therefore, the air conditioning equipment may be controlled so as to suppress or excessively operate the air conditioning based on the surface temperature of the clothes and belongings of the occupants. The parts and types of clothes and belongings of the occupants can be identified by using artificial intelligence. The total amount of heat can be estimated from the parts and types of clothes and belongings of the occupants and the surface temperature. With this configuration, the air conditioning equipment can appropriately adjust the sensible temperature of the occupants. The surface temperature of the occupant and the surface temperature of clothes / belongings may be acquired, the change in the surface temperature may be predicted, and the air conditioning equipment may be controlled based on the prediction result. The effects of reduced comfort and energy efficiency due to control time lag can be mitigated. By using artificial intelligence for this prediction, it is possible to make a more accurate prediction.

The present invention has been described above based on each embodiment. It is understood by those skilled in the art that each embodiment is an example, and various modifications are possible for each component or combination of each processing process, and such modifications are also within the scope of the present invention. be. The contents of each embodiment do not limit the technical scope of the present invention, and many design changes such as changes, additions, and deletions of components are made without departing from the ideas of the invention defined in the claims. Is possible.

10 ... Prediction unit, 12 ... Traffic volume sensor, 14 ... Temperature sensor, 16 ... Data acquisition unit, 18 ... Past history information database, 20 ... Prediction result output unit, 22 ... Other commercial facilities Database, 26 ... Air conditioning control device, 30 ... Automatic door, 32 ... Automatic door sensor, 60 ... Commercial facility, 100, 200 ... Energy inflow / outflow prediction system.

Claims (2)

It is an energy inflow / outflow prediction system that predicts the amount of energy flowing in and out from each automatic door of a commercial facility where multiple automatic doors are arranged.
A database that stores the past temperature changes around each automatic door of the commercial facility and the past changes in traffic volume of each automatic door.
Data similar to the change in temperature around each automatic door from a predetermined time to the present and the change in traffic volume from that time to the present of each automatic door are extracted from the database, and the time series of the similar data is viewed. A predictor that predicts the amount of energy flowing in and out of each automatic door from future changes in the temperature around each automatic door and changes in the traffic volume of each automatic door.
Energy inflow and outflow prediction system equipped with. It is an energy inflow / outflow prediction system that predicts the amount of energy flowing in and out from each automatic door of a commercial facility where multiple automatic doors are arranged.
A database that stores the past temperature changes around each automatic door of the commercial facility and other commercial facilities and the past changes in traffic volume of each automatic door.
Data similar to the change in temperature around each automatic door from a predetermined time to the present and the change in traffic volume from that time to the present of each automatic door are extracted from the database, and the time series of the similar data is viewed. A predictor that predicts the amount of energy flowing in and out of each automatic door from future changes in the temperature around each automatic door and changes in the traffic volume of each automatic door.
Energy inflow and outflow prediction system equipped with.

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