JP2019126126A - Energy inflow/outflow amount prediction system - Google Patents

Abstract

To provide an energy inflow/outflow amount prediction system capable of accurately predicting an energy inflow/outflow amount.SOLUTION: The energy inflow/outflow amount prediction system predicts energy inflow/outflow amounts of a plurality of automatic doors of a commercial facility in which the automatic are arranged. The energy inflow/outflow amount prediction system includes a database storing the past temperature change around each of the automatic doors of the commercial facility and the past traffic volume change of each of the automatic doors, and a prediction unit 10 that extracts, from the database, data similar to the temperature change around each of the automatic doors from a predetermined time to the current time and the traffic volume of the automatic door from the predetermined time to the current time, and predicts an inflow/outflow energy amount of the automatic door on the basis of a future temperature change around the automatic door and a future traffic volume change of the automatic door obtained on the basis of the time series of the similar data.SELECTED DRAWING: Figure 1

Description

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

  BACKGROUND An air conditioning control system is known that controls the operation of an air conditioning facility according to the energy management status of a facility. For example, Patent Document 1 describes a technology of 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. Patent Document 2 describes a technology for remotely proposing energy saving. Further, Patent Document 3 describes a technique for analyzing the amount of energy consumption. Patent Document 4 describes a technique for controlling air conditioning based on the temperature of the clothing surface. Patent Document 5 describes a technique for controlling air conditioning based on the surface temperature of a fixture.

JP, 2000-270379, A JP 2002-295940 A JP, 2013-020307, A JP, 2005-306196, A Unexamined-Japanese-Patent No. 05-312373 gazette

  In a large-scale commercial facility, it is desirable to perform air conditioning control to ensure the comfort of the visitor and realize energy saving. An automatic door is installed in such equipment, and the automatic door is opened and closed every time a person enters and leaves, so the conditioned air and the outside air are interchanged, the air conditioning effect is reduced, and energy loss occurs.

  In such commercial facilities, the number of people coming and going changes depending on the time of day. For example, when the number of people entering and leaving the facility increases rapidly at the time of opening a store, the air conditioning loss due to air replacement increases significantly, but the air conditioning capacity can not immediately follow the change, and the air conditioning comfort may decrease. . Further, at this time, the operation of the air conditioner is rapidly increased, and the energy efficiency is reduced. On the other hand, when the number of people coming and going is sharply reduced at the time of closing the store, the amount of energy outflow is greatly reduced, but the air conditioning capacity can not follow 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 causes the decrease in the comfort and the energy efficiency of the air. Furthermore, a person is a heat source, and its movement is equivalent to the movement of a heat source, and from this point of view also, the rapid change in the number of people going in and out has contributed to the decrease in comfort and energy efficiency. In order to perform air conditioning control corresponding to energy saving and comfort, it is conceivable to control air conditioning equipment by predicting future energy inflow and outflow. However, in the prior art, there is a problem that it is difficult to accurately predict the amount of energy inflow and the amount of outflow.
Such problems 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 thereof is to provide a prediction system capable of accurately predicting future energy inflow and outflow.

  In order to solve the above problems, an energy inflow / outflow prediction system according to an aspect of the present invention predicts energy inflow / outflow which predicts the amount of energy flowing out of each automatic door of a commercial facility in which a plurality of automatic doors are arranged. The system is a database storing temperature changes around each of the past automatic doors of a commercial facility and changes in past traffic of each automatic door, and temperatures from the database to temperatures around each of the automatic doors from a predetermined time to the present Data similar to the change in traffic volume and the change in traffic volume from the current time to the present of each automatic door, and in the time series of the similar data, the temperature change around each future automatic door and traffic volume of each automatic door And a prediction unit that predicts the amount of energy flowing in and out of each automatic door from the change in.

  According to this aspect, each past facility of the facility stored in the database based on a change in temperature around each automatic door from a predetermined time to the present and a change in traffic amount from the time to the present of each automatic door Based on the temperature change around the automatic door and the past traffic change of each automatic door, the amount of energy flowing into and out of each automatic door from the future temperature change around each automatic door and the change in traffic of each automatic door Since it predicts, future energy inflow and outflow can be predicted accurately. 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 out of each automatic door of a commercial facility where a plurality of automatic doors are arranged, and is used for commercial facilities and other commercial facilities. A database storing temperature changes around each automatic door in the past and changes in past traffic of each automatic door, changes in temperature around each automatic door from a predetermined time to the present from the database, and the values of each automatic door Data similar to the change in traffic from time to the present is extracted, and in the time series of the similar data, it flows out from each automatic door from the future temperature change around each automatic door and the change in traffic of each automatic door And a prediction unit that predicts the amount of energy to be received.

  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 from the time to the present of each automatic door Based on the temperature change around each automatic door in the past and the change in past traffic of each automatic door, the flow from each automatic door in the future from the temperature change around each automatic door and the change in traffic of each automatic door By predicting the amount of energy to be stored, it is possible to accurately predict future energy inflow and outflow.

  It should be noted that any combination of the above-described components, or any of the components or expressions of the present invention mutually replaced by a method, an apparatus, a program, a temporary or non-temporary storage medium recording a program, a system, etc. Are also effective as an aspect of the present invention.

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

BRIEF DESCRIPTION OF THE DRAWINGS It is a block diagram which shows an example of the energy inflow / outflow volume 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 the commercial facility. It is a block diagram which shows an example of the energy inflow / outflow 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 the commercial installation.

  Hereinafter, the present invention will be described based on preferred embodiments with reference to the drawings. In the embodiment and the modification, the same or equivalent constituent elements and members are denoted by the same reference numerals, and duplicating descriptions will be appropriately omitted. In addition, dimensions of members in each drawing are shown appropriately enlarged or reduced for easy understanding. In each drawing, a part of members which are not important in describing the embodiment is omitted and displayed.

First Embodiment
A 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 prediction system 100 according to the first embodiment. FIG. 2 is a block diagram showing an example where the energy inflow / outflow prediction system 100 is applied to a commercial facility 60. As shown in FIG. 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 of 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 sensor 12 provided in the commercial facility 60 and the weather, season, day of the week, holidays, etc. held in the data acquisition unit 16. The future energy inflow / outflow of the commercial facility 60 is predicted based on the reference information recorded in the past history information database 18 based on variable information including the above, and the prediction result is output. The air conditioning control device 26 controls the 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. Various known sensors can be used as the temperature sensor 14. In the example of FIG. 2, the temperature sensors 14 are provided at each of the automatic doors 30 provided at seven locations of the commercial facility 60. The temperature sensor 14 includes an indoor sensor disposed on the indoor side of each automatic door 30 and an outdoor sensor disposed on the outdoor side. It is possible to properly detect the temperature around the automatic door 30, which changes temperature immediately when the door is opened and closed.

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

(Data acquisition unit)
The amount of energy for air conditioning fluctuates from day to day due to various fluctuation factors. So, 1st Embodiment is provided with the data acquisition part 16 in order to grasp | ascertain the fluctuation | variation factor of the energy amount every day. The data acquisition unit 16 acquires correction data for correcting the variation factor to correct the prediction of the energy amount, and sends the acquisition result to the prediction unit 10. The correction data may be any one or more of the weather of the day, the season, the day of the week, and the types of holidays and holidays. 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 one or more of the weather of the day (air temperature, humidity, rainfall, wind speed, etc.), the season, and the type of day and holiday.

(Past history information database)
The past history information database 18 is a database that stores temperature changes around each past automatic door 30 of the commercial facility 60 and changes in the past traffic of each automatic door 30. Hereinafter, the information stored in the past history information database 18 is referred to as “temperature passing amount pattern information”. The temperature traffic pattern information can be constructed by collecting and analyzing the correlation between temperature changes and traffic changes over a long period of time (eg, one or more years) of the commercial facility 60. The past history information database 18 is provided with the temperature traffic pattern information constructed in this way as a neural network of a plurality of layers. The temperature passing amount pattern information may be constant, but in this example, the temperature passing amount pattern information is updated according to the measurement result of the temperature change and the change in passing amount on a daily basis.

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

  Further, the prediction unit 10 predicts the amount of energy flowing in and out of each automatic door 30 from the temperature change around each future automatic door 30 and the change in traffic 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 conditioner (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 occupants and to 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, it is possible to predict the future temperature change of the room etc., so it is possible to level the peak of the operation of the air conditioning equipment.

Second Embodiment
Next, an energy inflow / outflow prediction system 200 according to a 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 prediction system 200 according to the second embodiment. FIG. 4 is a block diagram showing an example where the energy inflow / outflow prediction system 200 is applied to a commercial facility 60. As shown in FIG. The energy inflow / outflow prediction system 200 is different from the energy inflow / outflow prediction system 100 according to the first embodiment in that it has a database 22 storing data of other commercial facilities, and the other configuration is the same. is there. Here, duplicate explanations are omitted, and points different from the first embodiment will be mainly described.

  If the data accumulation period of the past history information database 18 is short, it is conceivable that the temperature passing amount pattern information runs short and the prediction accuracy of the energy inflow and outflow amount is lowered. In particular, since there is no past information in a new commercial facility, this problem has a significant impact, and there is a possibility that air conditioning control that achieves both energy saving and comfort can not be performed. Therefore, the energy inflow / outflow prediction system 200 includes the database 22 in which data of existing commercial facilities are stored.

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

(Modification)
Although each embodiment describes an example in which the prediction system predicts the future several hours ahead, the prediction system may predict the future over a longer period, such as day, week, month, or year.
Thermography may further be provided to measure the surface temperature of a passer-by in order to increase the prediction accuracy. In this case, since the prediction can be made based on the traffic volume and the surface temperature, the energy inflow and outflow 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 by image processing using a camera may be provided.
The pressure difference may be calculated from the temperature difference between the inside and the outside of the automatic door 30, and the energy flow may be calculated according to the calculation result. The pressure difference between inside and outside may be measured by a differential pressure sensor.
Although each embodiment has described an example in which the automatic door 30 is provided at all the entrances and exits of the commercial facility 60, a manual door may be provided instead of the automatic door 30 at a part or all of the entrances.

(Other modifications)
Since only the surface temperature of the occupant does not know the total amount of heat, an appropriate air conditioning setting may not be performed. For this reason, the air conditioning equipment may be controlled to suppress or excessively operate the air conditioning based on the surface temperature of the clothes and belongings of the occupant. The parts and types of clothes and belongings of the occupants can be identified using artificial intelligence. The total amount of heat can be estimated from the part and type of clothes and belongings of the occupant and the surface temperature. With such a configuration, the air conditioner can appropriately adjust the sensational temperature of the occupant. The surface temperature of the occupant and the surface temperature of the clothes and belongings may be acquired, the change in the surface temperature may be predicted, and the air conditioning facility may be controlled based on the prediction result. It is possible to mitigate the impact of the reduction in comfort and energy efficiency due to the time lag of control. By using artificial intelligence for this prediction, it is possible to predict more accurately.

  The present invention has been described above based on the embodiments. It is understood by those skilled in the art that each embodiment is an exemplification, and that various modifications can be made to their respective components or combinations of respective processing processes, and such modifications are also within the scope of the present invention. is there. 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 can be made without departing from the concept of the invention defined in the claims. Is possible.

  10 · · · prediction unit, 12 · · traffic amount sensor, · · · · temperature sensor, 16 · · data acquisition unit, · · · · past history information database, 20 · · prediction result output unit, · · · of other commercial facilities Database · · · · · · air conditioning control system, 30 · · automatic door, 32 · · automatic door sensor, 60 · · commercial facilities, 100, 200 · · energy inflow and outflow forecasting system.

Claims (2)

An energy inflow / outflow prediction system for predicting the amount of energy flowing in and out of each automatic door of a commercial facility in which a plurality of automatic doors are arranged, comprising:
A database storing temperature changes around each past automatic door of the commercial facility and changes in past traffic of each automatic door;
Data similar to the change in temperature around each automatic door from the predetermined time to the present and the change in traffic volume from the time to the present of each automatic door are extracted from the database and viewed in the time series of the similar data A prediction unit that predicts 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 traffic volume of each automatic door;
Energy inflow / outflow forecasting system comprising: An energy inflow / outflow prediction system for predicting the amount of energy flowing in and out of each automatic door of a commercial facility in which a plurality of automatic doors are arranged, comprising:
A database storing temperature changes around each past automatic door of the commercial facility and other commercial facilities and changes in past traffic of each automatic door,
Data similar to the change in temperature around each automatic door from the predetermined time to the present and the change in traffic volume from the time to the present of each automatic door are extracted from the database and viewed in the time series of the similar data A prediction unit that predicts 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 traffic volume of each automatic door;
Energy inflow / outflow forecasting system comprising:

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