JP2020106153A - Air-conditioning control system and method - Google Patents

Abstract

To provide a technology for achieving air-conditioning control obtained by taking a three-dimensional temperature distribution in a room into account without attaching a plurality of temperature sensors.SOLUTION: According to the present invention, an air-conditioning control system for controlling air conditioners in an object space is provided with an operation unit for generating a temperature estimation model in a prescribed space on the basis of human flow information, environment information and air conditioner information, acquiring a temperature distribution in an object space on the basis of the temperature estimation model, and position information and comfort level information transmitted from a mobile terminal, and determining a control output of each air conditioner on the basis of the temperature distribution.SELECTED DRAWING: Figure 1

Description

The present invention relates to an air conditioning control system and method for controlling an air conditioner in a target space.

In recent years, attempts are being made to implement air-conditioning control for maintaining comfort and saving energy, not only indoors but also outdoors, and for underground malls and stations where people's behavior characteristics are complicated. In such an object, the indoor space temperature distribution becomes complicated. Therefore, in order to perform the control in consideration of the fluctuation, it is necessary to grasp the space temperature distribution in advance and feed it back to the control.

Relatedly, as a method for controlling an air conditioner by using the information of the space to be air-conditioned, a method of using a thermal camera to identify the space where a person exists and reducing its cost is described. There is a technique described in JP-A-2017-62108 (Patent Document 1).

In this publication, "a calculation unit that specifies a region corresponding to a person in the thermal image acquired by the thermal image acquisition unit and estimates the thermal sensation of a person in the space in the specified region, and the calculation unit estimates The thermal sensation of the person in the space, a notification unit for notifying the person in the space, and a correction receiving unit for receiving a correction instruction of the thermal sensation of the person in the space notified by the notification unit, the arithmetic unit, Determine the human body temperature, which is the temperature of the person in the space based on the temperature distribution of the area corresponding to the person, based on the difference value between the human body temperature and the ambient temperature obtained from the temperature of the area other than the area corresponding to the person Then, the thermal sensation of the person in the space is estimated, and the estimated thermal sensation of the person in the space is corrected based on the correction instruction received by the correction receiving unit."

JP, 2017-62108, A

In Patent Document 1, the thermal image camera installed in the air conditioner is used, and it is possible to specify the position of the human body having a high temperature in the target space and directly target the air conditioning, but it has been described in the background art. Air conditioning control cannot be realized by estimating the temperature distribution in such a three-dimensional space.

In order to take control of such spatial temperature distribution into consideration, multiple temperature sensors are attached to measure the temperature distribution, or the prediction result of the temperature distribution is updated at any time by associating it with fluid analysis by CFD (Computational Fluid Dynamics). There is a need to. However, the former increases the cost, and the latter is difficult to use for control because the calculation load is too heavy.

Therefore, it is an object of the present invention to provide a technique for realizing air-conditioning control that considers a three-dimensional temperature distribution in a room without mounting a plurality of temperature sensors.

In order to solve the above problems, the present invention, in an air conditioning control system for controlling an air conditioner in a target space, generates a temperature estimation model in a predetermined space based on pedestrian flow information, environment information and air conditioner information, and estimates the temperature. It is characterized by including a calculation unit that obtains a temperature distribution of the target space based on the model and the position information and comfort level information transmitted from the mobile terminal, and determines the control output of each air conditioner based on the temperature distribution. And

According to the present invention, it is possible to realize air-conditioning control in consideration of a three-dimensional temperature distribution in a room without attaching a temperature sensor for estimating a spatial temperature distribution.

First Embodiment Air Conditioning Control System 101 of the Present Invention and Overall Configuration Example of people flow information 102 Example of spatial temperature distribution Example of space temperature estimation model 109 Example of location information and comfort level collection tool on mobile terminal 111 Example 2 Air-conditioning control system 101 of the present invention and overall configuration Example of processing flow of space temperature estimation model generation unit 108 in Example 2 Example 3 Air-conditioning control system 101 of the present invention and overall configuration

Examples suitable for carrying out the present invention will be described below. It should be noted that the following is merely an example of the embodiment, and is not intended to limit the invention itself to the following specific contents.

FIG. 1 is an example of a diagram of an air conditioning control system 101 and an overall configuration of the present invention in a first embodiment.

The air conditioning control system 101 uses the pedestrian flow information 102, the air conditioning operation information 103, and the environmental condition 104 such as the air temperature to obtain a spatial temperature distribution DB 106 obtained by the spatial temperature distribution calculator 105, and an input information type 107 that can be used for temperature distribution estimation. And the spatial temperature estimation model generation unit 108 that generates the spatial temperature estimation model 109 using the and, and generates the spatial temperature distribution 112 based on the temperature distribution estimation input information obtained from the network 110 and the information obtained from the mobile terminal 111. The space temperature estimation model 109 and an air conditioning control output determining unit 114 that generates an air conditioning control output 113 based on the air conditioning temperature distribution 112.

The details of each element of the air conditioning control system 101 and the operation of the overall configuration will be described below.

The people flow information 102 is data representing the density of people with respect to the area for each time at each point in the target space, and an example thereof is shown in FIG. Thus, it is given as time series data for each point in the target space.

The air conditioning operation information 103 is information about the air conditioner in the target space. In addition to information such as the position of each air conditioner and the size of the opening in the target space, this information is related to the output of the outlet temperature, the inlet temperature, the air volume, and the like.

The environmental condition 104 such as the temperature is a condition related to the environment other than the pedestrian flow information 102 and the air conditioning operation information 103 that affects the temperature distribution of the target space. Examples include ventilation inflow locations and their airflow, the temperature of the outside air to be taken in, the outside air flow rate and temperature that flows from the opening if there is an opening, and information about heat sources other than the human body existing in the target space. Conditions such as (position and amount of heat generated by devices that generate heat such as lighting) and initial temperature of walls and floors.

The space temperature distribution calculator 105 obtains the temperature distribution of the target space by CFD based on these various conditions. This calculation with a high computer load is calculated off-line in advance by changing the conditions of the pedestrian flow information 102, the air conditioning operation information 103, and the environmental condition 104 such as the temperature, and the analysis result is accumulated as the space temperature distribution DB 106.
The temperature distribution estimation input information type 107 is a type of information that can be used to estimate the spatial temperature distribution at the target site. Examples of standard information include outside air temperature related to ventilation heat quantity, intake air temperature measured by each air conditioner, current output status, human flow at each point, etc. Specify the input information.

In addition to this, in the present embodiment, as the information used for estimating the three-dimensional temperature distribution of the target space, the information about the position transmitted by the terminal owner and the room temperature transmitted from the mobile terminal 111 is the temperature. Included in the distribution estimation input information type 107.

In addition, since the owner of the terminal cannot usually measure the room temperature directly, when it is acquired from the mobile terminal 111, it is collected as comfort information and converted from comfort information to room temperature information. The process will be described later when the method of collecting information from the mobile terminal 111 is described separately.

In addition, if the room temperature can be directly acquired by the mobile terminal of each user, the value may be directly collected. The temperature information from the terminal owner is the information from the owner 301 of the mobile terminal 111 existing at each point for estimating the spatial spatial temperature distribution shown in FIG. There are points. Since it is not necessary to obtain it for all locations, the location required for estimation is defined separately and used when the acquired data corresponds to that location.

Note that a method of requesting data collection only when the owner 301 is present at a necessary location will be described separately in the third embodiment.

The space temperature estimation model generation unit 108 generates a space temperature estimation model 109 for the target space by machine learning based on the information of the temperature distribution estimation input information type 107. The machine learning method is selected from the methods such as DNN (Deep New Network) and SVM (Support Vector Machine).

The space temperature estimation model 109 is a machine-learned model, and derives the space temperature distribution 112 based on the information obtained from the temperature distribution estimation input information 107. An example of the case where DNN is used as the estimation model 109 is shown in FIG. An example of the case where there are four input values (401) and the case where there are three input values (402) is shown. In this way, models with different structures can be obtained by changing the type of input with respect to the temperature distribution that is the output.

In this embodiment, the fully-connected multi-layer neural network is illustrated to show the difference in structure with respect to the difference in input, but the structure and method are not limited to this. The learned model thus obtained can solve the solution without requiring a heavy calculation load such as CFD. The input information for temperature distribution estimation is the same information as the information specified by the input information type 107 for temperature distribution estimation, and is data for each time, and the information on each sensor or network and the mobile terminal via the network 110. Given as input from 111.

From the mobile terminal 111, the user inputs information regarding the position and its comfort. An example thereof is shown in FIG. In this example, the comfort information collection tool includes a selection field (501) for the comfort level with a radio button and a selection location (502) of position information by GUI. After the user inputs the information, the send button 503 sends the information to the space temperature estimation model 109. It should be noted that this input method is an example, and other methods such as more finely classifying comfort levels and selecting position information from a list box may be used.

For comfort, conversion to temperature is required as described above. Therefore, pre-processing is performed after the data is captured, and the temperature is converted. PMV (Predictive Mean Vote), standard effective temperature SET (Standard Effective Temperature), etc. are mainly used as the comfort index. The room temperature is converted by performing the inverse operation of the operation of these indexes.

Note that these are typical comfort indexes, other indexes may be used, and a separate comfort questionnaire survey may be conducted in the target space to calculate based on the newly created indexes. Is also good.

In addition, when acquiring information from the mobile terminal 111, it is assumed that necessary information cannot be obtained. Therefore, a discount ticket for a store in the target facility for acquiring the information or points of various point cards are given. It may be configured to give an incentive such as.

The air conditioning control output determination unit 114 determines the control output of each air conditioner based on the obtained space temperature distribution 112. Specifically, when the heat or cold exceeds the permissible range, the air conditioning output at the relevant location is strengthened or the amount of outside air introduced is changed to perform control to maintain comfort in the target space. ..

As described above, it becomes possible to realize the air conditioning control in which the three-dimensional temperature distribution in the room is taken into account without mounting the temperature sensor for measuring the spatial temperature distribution.

FIG. 6 is an example of a diagram of the air conditioning control system 101 and the overall configuration of the present invention in the second embodiment. In the present embodiment, the present control system can be immediately applied to a building having a general shape such as a rectangular parallelepiped by performing the spatial temperature distribution calculation before applying the control in advance.

The configuration is different from the first embodiment in that a building shape 601 and each site building shape 602 are added to the first embodiment. The building shape 601 is data about the shape of the space of the building. Numerical data representing the structure such as area and height, which is basic information, or drawing data of the target space created by CAD or the like may be used as it is. The spatial temperature distribution calculator 105 also obtains the spatial temperature distribution using the different building shape 601 as a parameter.

Subsequently, the space temperature estimation model generation unit 108 also uses each site building shape 602 to generate the space temperature estimation model 109. The processing flow is shown in FIG. First, based on each site building shape 602, only the spatial temperature distribution calculated with the corresponding shape is extracted (S701). As the input information type 107 for temperature distribution estimation, the type of input information that can be used to obtain the spatial temperature distribution at the site to which the present control system is applied is acquired (S702). A derived model of the spatial temperature distribution extracted in S701 for the input information of S702 is obtained by machine learning (S703).

As described above, by performing the spatial temperature distribution calculation before the control is applied to a building having a general shape such as a rectangular parallelepiped, the air-conditioning control considering the three-dimensional temperature distribution in the room can be immediately performed. It is possible to apply.

FIG. 8 is an example of a diagram of the air conditioning control system 101 and the overall configuration of the present invention in the third embodiment. In the present embodiment, it is possible to reduce the amount of communication and the burden on the owner of the mobile terminal 111 by narrowing down the users who acquire comfort information and exchanging data.

The present embodiment is different in that the comfort information acquisition requesting unit 801 intervenes for data acquisition from the mobile terminal 111. The comfort information acquisition requesting unit 801 acquires the indoor position information of the terminal holder from the mobile terminal 111. According to the obtained information, the comfort information acquisition requesting unit 801 uses the mobile information when the temperature measurement is required, or when it is assumed that the temperature measurement is required from the direction or speed of movement obtained from the change in the position information. Prompt to send information to the terminal 111. The owner of the mobile terminal 111 responds to the request and transmits information about comfort.

As described above, the communication amount is reduced and the burden on the owner of the mobile terminal 111 is reduced by exchanging data by narrowing down the users who acquire comfort information, and without installing a temperature sensor for measuring the spatial temperature distribution. It is possible to realize air-conditioning control in which a three-dimensional temperature distribution in the room is taken into consideration. The present invention is not limited to the above-described embodiments, but includes various modifications. For example, the above-described embodiments have been described in detail for the purpose of explaining the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the configurations described. Further, a part of the configuration of a certain embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of a certain embodiment. Further, with respect to a part of the configuration of each embodiment, other configurations can be added/deleted/replaced. Further, each of the above-mentioned configurations, functions, processing units, processing means, etc. may be realized by hardware by designing a part or all of them with, for example, an integrated circuit. Further, each of the above-described configurations, functions, and the like may be realized by software by a processor interpreting and executing a program that realizes each function. Information such as a program, a table, and a file that realizes each function can be placed in a memory, a hard disk, a recording device such as an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, and a DVD.

101 Air-conditioning control system 102 People flow information 103 Air-conditioning operation information 104 Environmental conditions such as temperature 105 Spatial temperature distribution calculator 106 Spatial temperature distribution DB
107 Input Information Type for Temperature Distribution Estimation 108 Space Temperature Estimation Model Generation Unit 109 Space Temperature Estimation Model 110 Network 111 Mobile Terminal 112 Space Temperature Distribution 113 Air Conditioning Control Output 114 Air Conditioning Control Output Determining Unit

Claims (10)

In the air conditioning control system that controls the air conditioner in the target space,
Generates a temperature estimation model in a predetermined space based on pedestrian flow information, environment information, and air conditioner information,
Based on the temperature estimation model and the position information and comfort level information transmitted from the mobile terminal, the temperature distribution of the target space is obtained,
An air-conditioning control system comprising: a calculation unit that determines a control output of each air conditioner based on the temperature distribution. The air conditioning control system according to claim 1,
The air conditioning control system, wherein the temperature estimation model is generated based on data regarding the shape of the target space. The air conditioning control system according to claim 2,
The air-conditioning control system, wherein the data regarding the shape includes numerical data regarding the area or height of a target building or drawing data by CAD. The air conditioning control system according to claim 1,
An air conditioning control system, characterized in that a request for transmitting the comfort level information is made to a predetermined mobile terminal based on the position information transmitted from the mobile terminal. The air conditioning control system according to claim 4,
An air-conditioning control system, wherein the mobile terminal that makes the transmission request is determined based on a change in position information including a moving direction or speed of the mobile terminal. The air conditioning control system according to claim 1,
An air-conditioning control system, wherein conversion processing is performed on temperature information based on the comfort level information. The air conditioning control system according to claim 6,
An air conditioning control system characterized in that the temperature information is obtained by inversely calculating a comfort index including a PMV (Predictive Mean Vote) or a standard effective temperature SET (Standard Effective Temperature). The air conditioning control system according to claim 1,
An air conditioning control system, characterized by setting an incentive for a user with respect to transmission information from the mobile terminal. The air conditioning control system according to claim 1,
The air conditioning control system, wherein the temperature estimation model is generated by machine learning including DNN (Deep New Network) or SVM (Support Vector Machine). In the air conditioning control method for controlling the air conditioner in the target space,
Generates a temperature estimation model in a predetermined space based on pedestrian flow information, environment information, and air conditioner information,
Based on the temperature estimation model and the position information and comfort level information transmitted from the mobile terminal, the temperature distribution of the target space is obtained,
An air conditioning control method, wherein the control output of each air conditioner is determined based on the temperature distribution.

Images