JP2022110654A - Measurement device, program, and measurement method - Google Patents

Abstract

To acquire environment information in a space including a position not on the propagation path of ultrasonic wave on the basis of the propagation characteristics of the ultrasonic wave according to the propagation path.SOLUTION: According to one aspect of the present disclosure, a measurement device can be connected to a sound wave transmitter installed in a target space and a sound wave receiver installed in the target space, and can separately measure a physical quantity of each of the multiple virtual sections into which the target space is virtually divided. The measurement device includes: means for calculating the physical quantity of the virtual section unit of the target domain on the propagation path of the sound wave among the multiple virtual sections based on the propagation characteristics of the sound wave transmitted by the sound wave transmitter and arriving at the sound wave receiver by propagating the path in the target space; and means for estimating the physical quantity of the virtual section unit in the non-propagating domain within the target space that is not on the propagation path of the sound wave by performing simulation analysis using the spatial shape information on the target space and the calculated physical quantity.SELECTED DRAWING: Figure 17

Description

The present disclosure relates to a measuring device, program, and measuring method.

Patent Literature 1 discloses an air-conditioning control device that measures the temperature distribution of a target space using ultrasonic waves and performs air-conditioning control.

JP 2017-219275 A

In the air conditioning control device described in Patent Document 1, ultrasonic waves are propagated between a transmitter that transmits ultrasonic waves and a receiver that receives ultrasonic waves, and temperature information on the propagation path is obtained based on the propagation time. Calculate Therefore, it is not possible to acquire temperature information for a position that is not on the propagation path of ultrasonic waves. For example, if there are obstacles such as screens that block the propagation of ultrasonic waves in the target space, or if it is not possible to place a sufficient number of transmitters and receivers in the target space, temperature information cannot be collected in the target space. There are areas that cannot be obtained. A similar problem also arises when measuring environmental information (for example, wind speed and humidity) other than temperature in a space based on the propagation characteristics of ultrasonic waves.

An object of the technique of the present disclosure is to acquire environmental information in a space including positions not on the propagation path of ultrasonic waves, based on the propagation characteristics of the ultrasonic waves according to the propagation path.

A measuring device according to an aspect of the present disclosure is connectable to a sound wave transmitting device installed in a target space and a sound wave receiving device installed in the target space, and includes a plurality of virtual partitions in which the target space is virtually divided. A measurement device capable of individually measuring each physical quantity, which is transmitted by a sound wave transmitter, propagates along a path in a target space, and reaches a sound wave receiver based on the propagation characteristics of a plurality of virtual partitions. By performing a simulation analysis using a means for calculating the physical quantity of each virtual block of the target area on the sound wave propagation path, the spatial shape information of the target space, and the calculated physical quantity, the inside of the target space and means for estimating a physical quantity for each virtual section in a non-propagation area not on the sound wave propagation path.

Based on the propagation characteristics of the ultrasonic wave according to the propagation path, it is possible to acquire environmental information in a space including positions not on the propagation path of the ultrasonic wave.

It is a block diagram showing composition of an air-conditioning system of a 1st embodiment. It is a block diagram showing the detailed composition of the air-conditioning system of a 1st embodiment. 1 is a schematic diagram showing the configuration of a sound wave transmitting device according to a first embodiment; FIG. 1 is a schematic diagram showing the configuration of a sound wave receiving device according to a first embodiment; FIG. It is a figure which shows the mesh structure of object space. 1 is an explanatory diagram of an outline of a first embodiment; FIG. It is a figure which shows the data structure of the spatial data table of 1st Embodiment. It is a figure which shows the data structure of the sensor data table of 1st Embodiment. It is a figure which shows the data structure of the route data table of 1st Embodiment. It is a figure which shows the data structure of the mesh data table of 1st Embodiment. FIG. 4 is an explanatory diagram of a filter according to the first embodiment; FIG. 4 is a sequence diagram of air conditioning control processing according to the first embodiment; FIG. It is a figure which shows an example of sensor arrangement|positioning of 1st Embodiment. 13 is a detailed flowchart of the physical quantity measurement process of FIG. 12; 15 is a detailed flow chart of the path temperature calculation in FIG. 14; 1 is a schematic diagram of a target space in which simulation analysis is performed; FIG. 15 is a detailed flowchart of the simulation analysis processing of FIG. 14; It is a figure explaining the outline|summary of simulation analysis. 15 is a diagram showing a first example of a screen displayed in the process of FIG. 14; FIG. 15 is a diagram showing a second example of a screen displayed in the process of FIG. 14; FIG. FIG. 11 is a diagram for explaining an overview of simulation analysis in modification 1; FIG. 11 is a diagram for explaining an overview of simulation analysis in modification 2;

An embodiment of the present invention will be described in detail below with reference to the drawings. In the drawings for describing the embodiments, in principle, the same constituent elements are denoted by the same reference numerals, and repeated description thereof will be omitted.

(1) First Embodiment A first embodiment will be described.

(1-1) Configuration of Air Conditioning System The configuration of the air conditioning system of the first embodiment will be described. FIG. 1 is a block diagram showing the configuration of the air conditioning system of the first embodiment. FIG. 2 is a block diagram showing the detailed configuration of the air conditioning system of the first embodiment.

As shown in FIGS. 1 and 2 , the air conditioning system 1 includes a measurement device 10 , a sound wave transmitter 20 , a sound wave receiver 30 , an air conditioner 40 and a thermometer 50 .
The measurement device 10 is connected to a sound wave transmitter 20 , a sound wave receiver 30 , an air conditioner 40 and a thermometer 50 .
The measuring device 10, the sound wave transmitting device 20, the sound wave receiving device 30, the air conditioner 40, and the thermometer 50 are arranged in a space (hereinafter referred to as "target space") SP that is subject to temperature measurement.

The measuring device 10 has the following functions.
A function of controlling the sound wave transmitting device 20 A function of acquiring reception waveform data from the sound wave receiving device 30 A function of measuring the physical quantity (for example, temperature distribution) of the target space SP A function of controlling the air conditioner 40 A thermometer 50 A function of acquiring reference temperature information related to the measurement result of the temperature of the target space SP from a function of performing a simulation analysis and estimating a physical quantity (for example, temperature distribution) of a non-propagation area not on the propagation path of the ultrasonic wave. , for example, a smart phone, a tablet terminal, or a personal computer.

The sound wave transmitter 20 is configured to transmit a directional sound wave (for example, an ultrasonic beam) under the control of the measuring device 10 . Also, the sound wave transmitter 20 is configured to change the transmission direction of the ultrasonic waves.

The sound wave receiving device 30 is configured to receive the ultrasonic beams transmitted from the sound wave transmitting device 20 and to generate received waveform data corresponding to the received ultrasonic beams. The sound wave receiving device 30 is, for example, an omnidirectional microphone or a directional microphone.

The air conditioner 40 is configured to adjust the temperature of the target space SP under the control of the measuring device 10 .

The thermometer 50 is configured to measure the temperature of the target space SP (hereinafter referred to as "reference temperature"). The thermometer 50 may be a contact thermometer or a non-contact thermometer (for example, an infrared radiation thermometer).

(1-1-1) Configuration of Measurement Apparatus The configuration of the measurement apparatus 10 of the first embodiment will be described.

As shown in FIG. 2, the measuring device 10 includes a storage device 11, a processor 12, an input/output interface 13, and a communication interface .

Storage device 11 is configured to store programs and data. The storage device 11 is, for example, a combination of ROM (Read Only Memory), RAM (Random Access Memory), and storage (eg, flash memory or hard disk).

Programs include, for example, the following programs.
・ OS (Operating System) program ・ Information processing (for example, information processing for measuring the temperature distribution of the target space SP, information processing for giving feedback to the air conditioner 40 based on the temperature distribution of the target space SP, non Information processing for estimating the physical quantity of the propagation region by simulation analysis).

The data includes, for example, the following data.
・Databases referenced in information processing ・Data obtained by executing information processing (that is, execution results of information processing)
・Data related to sound wave velocity characteristics regarding the speed of sound waves with respect to the temperature of the space ・Spatial shape data (spatial shape information) indicating the shape of the target space

The processor 12 is configured to implement the functions of the measuring device 10 by starting programs stored in the storage device 11 . Processor 12 is an example of a computer.

The input/output interface 13 is configured to acquire a user's instruction from an input device connected to the measuring device 10 and output information to an output device connected to the measuring device 10 .
Input devices are, for example, keyboards, pointing devices, touch panels, or combinations thereof. The input device also includes a thermometer 50 .
An output device is, for example, a display. Output devices also include the air conditioner 40 .

Communication interface 14 is configured to control communications with external devices (eg, servers).

The analysis device 15 performs a simulation analysis using the physical quantity of the target space calculated by the processor 12 and the spatial shape information of the target space, so that non-propagating data that is not on the propagation path of the sound wave in the inside of the target space. It is configured to realize a function of estimating a physical quantity for each virtual section in an area. The physical quantity in this embodiment is a physical quantity relating to the state of air, such as temperature, wind speed, wind volume, wind direction, or humidity. However, the physical quantity calculated by the processor 12 and the physical quantity estimated by the analysis device 15 are not limited to these examples.
The analysis device 15 also uses the physical quantity calculated by the processor 12 and the physical quantity estimated by the analysis device 15 to calculate an evaluation index for the entire target space. The evaluation index in this embodiment is an index related to the state of the air in the space, such as a ventilation efficiency index, a comfort index, or a heatstroke index. However, the evaluation indices calculated by the analysis device 15 are not limited to these examples. Analysis device 15 is an example of a computer. Although the processor 12 and the analysis device 15 are shown separately in FIG. 2, they may be integrated. That is, the processor 12 may read the program stored in the storage device 11 and execute the processing, thereby realizing the functions of the analysis device 15 described in the present embodiment.

(1-1-2) Configuration of Sound Wave Transmitter The configuration of the sound wave transmitter 20 of the first embodiment will be described. FIG. 3 is a schematic diagram showing the configuration of the sound wave transmitter of the first embodiment.

As shown in FIG. 3A , the sound wave transmitter 20 includes a plurality of ultrasonic transducers (an example of “vibration elements”) 21 and a control circuit 22 .

As shown in FIG. 3B, the control circuit 22 causes the plurality of ultrasonic transducers 21 to vibrate under the control of the measuring device 10 . When the plurality of ultrasonic transducers 21 vibrate, ultrasonic beams are transmitted in the transmission direction (Z-axis direction) orthogonal to the transmission plane (XY plane).

(1-1-3) Configuration of Sound Wave Receiving Device The configuration of the sound wave receiving device 30 of the first embodiment will be described. FIG. 4 is a schematic diagram showing the configuration of the sound wave receiving device of the first embodiment.

As shown in FIG. 4 , the sound wave receiving device 30 includes an ultrasonic transducer 31 and a control circuit 32 .

The ultrasonic transducer 31 vibrates when receiving the ultrasonic beam transmitted from the ultrasonic wave transmitter 20 .

The control circuit 32 is configured to generate received waveform data according to vibration of the ultrasonic transducer 31 .

(1-2) Overview of Embodiment An overview of the first embodiment will be described. FIG. 5 is a diagram showing the mesh structure of the target space. FIG. 6 is an explanatory diagram of the outline of the first embodiment.

As shown in FIG. 5, sound wave transmitters 20a to 20b and sound wave receivers 30a to 30b are arranged in the target space SP. The measuring device 10 can be connected to the sound wave transmitting device 20 and the sound wave receiving device 30 .
The target space SP is virtually divided into a plurality of meshes (an example of a “virtual partition”) Mi (i is an argument) whose physical quantities can be individually measured by the measuring device 10 . Each mesh Mi is a two-dimensional or three-dimensional region.
The measurement device 10 controls the sound wave transmitters 20a-20b to transmit sound waves.
The measuring device 10 acquires received waveform data relating to the waveforms of received sound waves from the sound wave receiving devices 30a and 30b.
The measuring device 10 calculates a physical quantity (for example, temperature of each mesh) at each position in the target space SP based on the received waveform data.
For example, mesh M1 includes multiple paths P200 and P201. A path P200 is a path from the sound wave transmitting device 20a to the sound wave receiving device 30a. A path P201 is a path from the sound wave transmitting device 20b to the sound wave receiving device 30b. The measuring device 10 calculates the physical quantity in the mesh M1 based on the propagation distance and propagation time of the sound wave on the path P200 and the propagation distance and propagation time of the sound wave on the path P201. In addition, the measuring device 10 changes the propagation path of the sound wave from the sound wave transmitters 20a and 20b to the sound wave transmitters 30a and 30b, and based on the propagation distance and propagation time of the sound wave on the changed path, Calculate physical quantities in other existing meshes. Furthermore, the measuring device 10 performs a simulation based on the calculated physical quantity (the physical quantity in the mesh on the sound wave propagation path) and the spatial shape information of the space SP, thereby estimating the physical quantity in the mesh not on the sound wave propagation path. do.
The measuring device 10 calculates an evaluation index in the target space SP using the calculated physical quantities in the meshes in the target space SP.

Thus, the measuring device 10 can measure the temperature in units of virtual partitions in the target space SP. As shown in FIG. 6, the measuring device 10 divides the target space SP into at least one of a plurality of virtual partitions (for example, a mesh M11 in which the person HU1 exists and a mesh M11 in which the person HU2 exists). Feedback data is generated based on the temperature of each virtual partition of the mesh M00) and sent to the air conditioner 40. FIG. The air conditioner 40 performs an air conditioning operation (for example, feedback control regarding the temperatures of the mesh M11 and the mesh M00) based on the feedback data, thereby suppressing the deterioration of energy efficiency while controlling the person HU1 and the person HU1 existing in the target space SP. The comfort of HU2 can be improved. Note that the measuring device 10 may generate feedback data based on a physical quantity other than temperature, or may generate feedback data based on an evaluation index.

(1-3) Data Table The data table of the first embodiment will be described.

(1-3-1) Spatial Data Table The spatial data table of the first embodiment will be described. FIG. 7 is a diagram showing the data structure of the spatial data table of the first embodiment. A spatial data table is an example of spatial shape information used by the measuring device 10 . However, the spatial shape information is not limited to the example shown in FIG. 7 as long as it represents the shape (two-dimensional shape or three-dimensional shape) of the space to be measured. The spatial shape information is acquired, for example, by measuring the target space in advance with a sensor such as a LiDAR scanner, and stored in the storage device 11 . However, the method of acquiring the spatial shape information is not limited to this. good too.

The spatial data table of FIG. 7 stores spatial information about the space in which the sound wave transmitting device 20 and the sound wave receiving device 30 are arranged (hereinafter referred to as "target space").
The spatial data table includes a 'coordinate' field and a 'reflection property' field. Each field is associated with each other.

The "coordinates" field stores the coordinates of the reflecting member existing in the target space (hereinafter referred to as "reflecting member coordinates"). Reflecting member coordinates are represented by a coordinate system (hereinafter referred to as "space coordinate system") with an arbitrary reference point in the target space as the origin.

The “reflection property” field stores reflection property information regarding the reflection property of the reflecting member. The 'reflection property' field includes a 'reflection type' field, a 'reflectance' field, and a 'normal angle' field.

Information about the reflection type is stored in the "reflection type" field. The reflection type is one of the following.
・Diffuse reflection ・Specular reflection

The "reflectance" field stores the reflectance value of the reflecting member.

The "normal angle" field stores the value of the normal angle of the reflecting surface of the reflecting member.
In the example of FIG. 7, the spatial shape information includes reflection characteristic information as the attribute information of each three-dimensional position. air permeability properties, etc.).

(1-3-2) Sensor Data Table The sensor data table of the first embodiment will be explained. FIG. 8 is a diagram showing the data structure of the sensor data table of the first embodiment.

As shown in FIG. 8, the sensor data table stores information about the sound wave transmitter 20 and the sound wave receiver 30 (hereinafter referred to as "sensor information").
The sensor data table includes a "sensor ID" field, a "coordinates" field, and a "sensor type" field.
Each field is associated with each other.

The “sensor ID” field stores sensor identification information for identifying the sound wave transmitting device 20 or the sound wave receiving device 30 .

The "coordinates" field stores coordinates indicating the position of the sound wave transmitting device 20 or the sound wave receiving device 30 (hereinafter referred to as "sensor coordinates"). Sensor coordinates are expressed in a spatial coordinate system.

The "sensor type" field stores the tag "transmission" indicating that it is the sound wave transmitting device 20 or the tag "receiving" indicating that it is the sound wave receiving device 30. FIG.

(1-3-3) Route Data Table The route data table of the first embodiment will be explained. FIG. 9 is a diagram showing the data structure of the route data table of the first embodiment.

As shown in FIG. 9, the route data table stores route information about routes.
The route data table includes a “route ID” field, a “transmitting sensor” field, and a “receiving sensor” field.

The “route ID” field stores route identification information for identifying a route.

The “transmitting sensor” field stores the sensor identification information of the sound wave transmitting devices 20 forming the route.

The "receiving sensor" field stores the sensor identification information of the sound wave receiving device 30 forming the route.

(1-3-4) Mesh Data Table The mesh data table of the first embodiment will be explained. FIG. 10 is a diagram showing the data structure of the mesh data table of the first embodiment. FIG. 11 is an explanatory diagram of the filter of the first embodiment.

As shown in FIG. 10, the mesh data table stores mesh information about meshes.
The mesh data table includes a "mesh ID" field, a "coordinate" field, a "path ID" field, and a "filter" field.

The "mesh ID" field stores mesh identification information for identifying the mesh.

The "coordinates" field stores mesh coordinates indicating the position of the mesh. Mesh coordinates are expressed in a spatial coordinate system.
Mesh coordinates or other parameters may be defined with reference to BIM (Building Information Modeling) or other CAD (Computer-Aided Design) data.

The “path ID” field stores the path identification information of the sound wave propagation path through the mesh.

The “filter” field stores filter information regarding a filter for extracting a specific waveform from the waveform of the ultrasonic beam reproduced by the reception waveform data received by the sound wave receiving device 30 . The filter information is associated with the route identification information stored in the "route ID" field. The 'filter' field includes a 'temporal filter' field and an 'amplitude filter' field.

The "temporal filter" field stores information about a temporal filter for extracting a specific waveform along the time axis. Temporal filters are, for example, at least one of the following (FIG. 11).
・Lower limit time threshold THtb
・Upper limit time threshold THtt
A time window Wt defined by a lower time threshold THtb and an upper time threshold THtt

The "amplitude filter" field stores information about an amplitude filter for extracting a particular waveform along the amplitude axis. The amplitude filter is, for example, at least one of the following (FIG. 11).
・Lower limit amplitude threshold value THab
・Upper limit amplitude threshold THat
An amplitude window Wa defined by a lower amplitude threshold value THab and an upper amplitude threshold value THat

(1-4) Air Conditioning Control Processing The air conditioning control processing of the first embodiment will be described. FIG. 12 is a sequence diagram of air conditioning control processing according to the first embodiment. FIG. 13 is a diagram showing an example of sensor arrangement according to the first embodiment. FIG. 14 is a detailed flowchart of the physical quantity measurement process of FIG. FIG. 15 is a detailed flow chart of the path temperature calculation of FIG.

As shown in FIG. 12, the measuring device 10 executes physical quantity measurement processing (S11). In this embodiment, temperature measurement processing will be described as an example of physical quantity measurement processing.
Specifically, the processor 12 can measure the temperature in units of virtual partitions (for example, meshes) obtained by virtually dividing the target space.

As shown in FIG. 13, a plurality of sound wave transmitters 20a to 20e and a plurality of sound wave receivers 30a to 30e are arranged in the target space SP.
The plurality of sound wave transmitters 20a-20e are opposed to the plurality of sound wave receivers 30a-30e, respectively. For example, the sound wave transmitter 20a faces the sound wave receiver 30a. This means that the sound wave transmitter 20a and the sound wave receiver 30a form a sensor pair.
In the example of FIG. 13, five sensor pairs are formed.

The measuring device 10 can measure the mesh temperature of a mesh including multiple paths based on the propagation distance and propagation time of sound waves. In the example of FIG. 13, it is possible to measure the mesh temperatures of the meshes M1 to M4.
In addition, the measurement device 10 determines the temperature of unmeasured meshes (including meshes including a single path and meshes not included in any path) by simulation based on the measured mesh temperature and spatial shape information. can be measured (estimated).

The processor 12 may determine a region (“target region” or “target mesh”) subject to temperature measurement in the target space SP based on the position of a person present in the target space SP. The target area is at least one of a plurality of virtual partitions obtained by virtually dividing the target space SP. The processor 12 can identify the position of a person existing in the target space SP using at least one of the following information.
・Output of image sensor ・Output of CO2 sensor ・Output of motion sensor ・Location data transmitted by electronic devices carried by a person (e.g. smartphones or wearable devices) However, the method of determining the area subject to temperature measurement is not limited to this. Also, the processor 12 may determine all meshes included in the target space 12 as regions to be subjected to temperature measurement.

After step S11, the measuring device 10 generates feedback data (S12).
Specifically, the processor 12 generates feedback data based on the mesh temperature measured in step S11. For example, the processor 12 generates feedback data for the air conditioner 40 to perform feedback control to bring the temperature of the target region closer to the target value.

Feedback data may include at least one of the following:
・Measurement data of physical quantity at one time point or over multiple time points (for example, mesh temperature)
・Data obtained by processing measurement data of physical quantities at one time point or over multiple time points (for example, statistical data)
・Evaluation data generated based on physical quantities (e.g., evaluation index such as comfort index)
A control signal for the air conditioner 40 (for example, start of the air conditioner 40, stop of the air conditioner 40, change of the operation mode of the air conditioner 40, change of the set temperature of the air conditioner 40, change of the set air volume of the air conditioner 40, air conditioning At least one of a change in the set wind direction of the device 40, a change in the set humidity of the air conditioner 40, a change in the number of rotations of the motor incorporated in the air conditioner 40, and a change in the internal temperature of the switch that heats and cools the air conditioner 40. control signal)
A time-series pattern of control signals for the air conditioner 40 (that is, a set of control signals applied to the air conditioner 40 over multiple points in time)

After step S12, the measuring device 10 sends feedback data (S13).
Specifically, processor 12 sends the feedback data generated in step S<b>12 to air conditioner 40 .

After step S13, the measuring device 10 repeatedly executes physical quantity measurement processing (S11), generation of feedback data (S12), and transmission of feedback data (S13) until the air conditioning control processing ends.

After step S13, the air conditioner 40 performs an air conditioning operation (S41).
After step S41, the air conditioner 40 performs an air conditioning operation (S41) every time the measuring device 10 sends feedback data (S13).
In the first example of step S41, the air conditioner 40 is activated, stopped, changed the operation mode, changed the set temperature, changed the set air volume, and changed the set wind direction according to the control signal included in the feedback data. do one.
In the second example of step S41, the air conditioner 40 starts, stops, changes the operation mode, changes the set temperature, sets the air volume, and changes the set temperature based on the measurement data included in the feedback data or data obtained by processing the measurement data. and change the set wind direction. The air conditioner 40 operates according to the determination.

For example, the air conditioner 40 can perform at least one of the following air conditioning operations.
・Start or stop so that the temperature of the target area approaches the target value.
• Change the operating mode to either heating mode, cooling mode, or another mode so that the temperature of the target area approaches the target value.
• Increase or decrease the set temperature so that the temperature of the target area approaches the target value.
・Increase or decrease the set air volume so that the temperature of the target area approaches the target value.
- Change the set airflow direction from the air conditioner 40 toward the target area or away from the target area so that the temperature of the target area approaches the target value.
The target value of the temperature of the target area includes the set temperature of the air conditioner 40, the input by the person present in the target space SP, the vital data of the person present in the target space SP, the input by the person present in the target area, and the target value. It is set based on at least one vital data of a person present in the area.

Vital data may include, for example, measurements of at least one of temperature, pulse, and blood pressure. Vital data may be obtained from a wearable device or other instrumentation worn by a person. Among vital data, body temperature can be measured remotely by an infrared camera. As vital data, a heartbeat or the like measured in a non-contact manner by sound waves (for example, WiFi (Wireless Fidelity)) may be used.
In the third example of step S41, the air conditioner 40 starts, stops, changes the operation mode, and changes the set temperature so as to improve the evaluation index of the target space SP based on the evaluation data included in the feedback data. , change of the set air volume, and change of the set wind direction. The air conditioner 40 operates according to the determination.

Details of the physical quantity measurement process (S11) will be described below.
As shown in FIG. 14, the measuring device 10 determines a target mesh (S110).
Specifically, as shown in FIG. 13, the processor 12 determines the mesh identification information of the target meshes Mt (t=1 to 4) from among the plurality of meshes forming the target space SP. As an example, the processor 12 determines the target mesh Mt based on the positions of people existing in the target space SP. Here, the mesh determined as the target mesh Mt is a mesh existing on the propagation path of the sound waves transmitted from the sound wave transmitter 20 . Specifically, in the mesh data table of FIG. 10, the target mesh Mt is selected from among the meshes corresponding to entries in which multiple route IDs are described.

After step S110, the measuring device 10 performs path temperature calculation (S111) according to a predetermined path temperature calculation model.
Details of step S111 will be described with reference to FIG. FIG. 15 is a detailed flow chart of the path temperature calculation in FIG.

The measuring device 10 determines the target route (S1110).
Specifically, the processor 12 refers to the mesh data table (FIG. 10) and refers to the information in the “path ID” field associated with the mesh identification information determined in step S110 (that is, the path through the target mesh Mt ( The route identification information of Pi (i is the argument of the route), hereinafter referred to as the “target route”, is specified.

After step S1110, the measuring device 10 outputs an ultrasonic beam (S1111).
Specifically, the processor 12 refers to the route data table (FIG. 9) and refers to the information in the “transmitting sensor” field (that is, the sound wave transmitting device to be controlled) associated with the route identification information identified in step S1110. (hereinafter referred to as "target sound wave transmitter") 20) and information in the "receiving sensor" field (that is, the sound wave receiver to be controlled (hereinafter referred to as "target sound wave receiver") 30) are specified.
The processor 12 transmits ultrasonic control signals to the target sound wave transmitter 20 .

The target sound wave transmitting device 20 transmits an ultrasonic beam according to the ultrasonic control signal transmitted from the measuring device 10 .
Specifically, the plurality of ultrasonic transducers 21 vibrate simultaneously according to the ultrasonic control signal.
As a result, an ultrasonic beam traveling in the transmission direction is transmitted from the target sound wave transmitter 20 toward the target sound wave receiver 30 .

After step S1111, the measuring device 10 acquires received waveform data (S1112).
Specifically, the ultrasonic transducer 31 of the target sound wave receiving device 30 vibrates by receiving the ultrasonic beam transmitted from the target sound wave transmitting device 20 in step S1111.
The control circuit 32 generates reception waveform data (FIG. 11) according to vibration of the ultrasonic transducer 31 .
The control circuit 32 transmits the generated received waveform data to the measuring device 10 .

The processor 12 of the measuring device 10 acquires received waveform data transmitted from the sound wave receiving device 30 . The processor 12 may perform signal processing such as amplification and band limiting processing on the acquired received waveform data.

After step S1112, the measuring device 10 performs filtering (S1113).
Specifically, the processor 12 refers to the mesh data table (FIG. 10) to identify the "filter" field associated with the route identification information of the target route Pi determined in step S110.
For example, when the mesh identification information of the target mesh is "M001", the following filter information is specified.
・Path identification information “P001”: time threshold THtb1 or more and less than time threshold THtt1, and amplitude threshold THab1 or more and less than amplitude threshold THat1 ・Path identification information “P002”: within time window Wt2 and within amplitude window Wa2

Based on the specified filter information, the processor 12 extracts the component of the ultrasonic beam traveling along the target path Pi among the components included in the received waveform data.

After step S1113, the measuring device 10 performs path temperature calculation (S1114).
Specifically, the processor 12 refers to the "coordinates" field of the sensor data table (FIG. 8), and specifies the coordinates of the sound wave transmitting device 20 and the sound wave receiving device 30 that constitute the sensor pair for each sensor pair. .
The processor 12 calculates the distance between the sound wave transmitting device 20 and the sound wave receiving device 30 (hereinafter referred to as "inter-sensor distance") based on the specified combination of the coordinates of the sound wave transmitting device 20 and the coordinates of the sound wave receiving device 30. Calculate Ds.
The processor 12 identifies the time (hereinafter referred to as “propagation time”) t corresponding to the peak value of the component extracted in step S1113. The propagation time t is the time required from the transmission of the ultrasonic beam by the sound wave transmitting device 20 until the ultrasonic beam traveling along the target route Pi reaches the sound wave receiving device 30 (that is, from the starting point of the target route time for the ultrasonic beam to propagate to the end point).
The processor 12 calculates the path temperature TEMPpathi of the target path Pi using the ultrasonic sound velocity C, the inter-sensor distance Ds, the propagation time t, and the reference temperature T0.

If step S1114 has not been completed for all target routes Pi (S1115-NO), the measuring device 10 executes step S1110.

When step S1114 is completed for all target paths Pi (S1115-YES), the measuring device 10 executes the mesh temperature calculation (S112) in FIG.
Specifically, the processor 12 uses the path temperatures TEMPpathi of the plurality of target paths Pi calculated in step S1114 (FIG. 15) to calculate the mesh temperature TEMPmesht of the target mesh Mt (equation 1).
TEMPmesht=AVE(TEMPpathi) (Formula 1)
・AVE(x): A function that obtains the average value of x

If step S112 has not been completed for all the target meshes Mt (S113-NO), the measuring device 10 executes step S110.

When step S112 is completed for all target meshes Mt (S113-YES), the measuring device 10 executes simulation analysis (S114).
Details of step S114 will be described with reference to FIGS. FIG. 16 is a schematic diagram of a target space in which simulation analysis is performed. FIG. 17 is a detailed flow chart of the simulation analysis of FIG.

As shown in FIG. 16 , the analysis device 15 executes processing for estimating physical quantities in non-propagation regions where sound waves do not propagate (not on the propagation path of sound waves). In the illustrated example, as for the physical quantity of the unmeasurable point located in the space where the sound wave transmitted from the sound wave transmitting device 20 is shielded by the partition wall 100, data of the already measured physical quantity of the measurable point and space shape data are combined. Perform the process of estimating using

As shown in FIG. 17, first, the analysis device 15 acquires a known physical quantity that has already been measured (step S1140). The known physical quantity includes, for example, at least one of temperature, wind speed, wind volume, wind direction, and humidity in the target area. In the following description, temperature, humidity, and wind speed are taken as examples of physical quantities.
The method of measuring the temperature when the measurable point is the target mesh is as described above with reference to FIGS. , can be measured by calculation using the propagation characteristics of sound waves.
For example, the processor 12 measures the propagation time from the transmission time and reception time of the sound wave and calculates the speed of sound. Processor 12 also uses the temperature and the speed of sound to calculate humidity.
In addition, the processor 12 considers the Doppler effect caused by the wind between the sound wave transmitting device 20 and the sound wave receiving device 30, the transmission frequency of the sound wave transmitting device 20, the reception frequency of the sound wave receiving device 30, is used to calculate the theoretical wind speed on the path between the sound wave transmitter 20 and the sound wave receiver 30 .

After step S1140, the analysis device 15 acquires the spatial shape data stored in the storage device 11 (step S1141).

After step S1141, the analysis device 15 uses the spatial shape data to set boundary conditions in the target space (step S1142). Specifically, for example, as a boundary condition, the wind speed in the direction perpendicular to the wall at the position of the wall in the target space is set to zero.

After step S1142, the analysis device 15 sets evaluation coordinates (step S1143). Specifically, the evaluation coordinates are arbitrary coordinates located in a non-propagation region, and are spatial coordinates of a position for which physical quantities are estimated by simulation analysis. That is, the analysis device 15 sets at least one spatial coordinate of the non-propagation region for executing the simulation. The quantity of spatial coordinates can be set arbitrarily.

After step S1143, the analysis device 15 estimates physical quantities at the selected spatial coordinates by simulation analysis. Simulation analysis can be performed, for example, using known CFD (computational fluid dynamics) simulations. CFD simulation is a method of determining the temperature/wind speed distribution in space using the equation of continuity, the Navier-Stokes equation, and the energy equation when temperature, wind speed, and boundary conditions are given. However, the simulation analysis method is not limited to this, and any method that can calculate the physical quantity regarding the state of the air at another position based on the physical quantity regarding the state of the air at a certain position can be used.

After step S1144, the analysis device 15 checks whether step S1144 has been completed for all the evaluation coordinates set in step S1143 (step S1145).
If physical quantities have not been estimated for all evaluation coordinates (No in step S1145), the analysis device 15 executes step S1143.
When the physical quantities have been estimated for all the evaluation coordinates (Yes in step S1145), the analysis device 15 calculates the evaluation index of the target space (step S1146).

In step S1146, the analysis device 15 calculates the evaluation index of the target space using the physical quantity of the propagation region measured by the processor 12 and the physical quantity of the non-propagation region estimated by the analysis device 15 (see FIG. 18). The evaluation index of the target space includes, for example, at least one of a ventilation efficiency index, a comfort index, and a heatstroke index. Each of these indices is a value evaluated for the entire object space.

Ventilation efficiency index is an index representing ventilation efficiency, and typical examples are air age, outlet force range, suction port force range, air life expectancy, and the like.
A comfort index is an index that represents the comfort of a person in a space, and representative ones are SET (new standard effective temperature), PMV (predicted average thermal sensation), PPD (predicted discomfort rate), etc. . The analysis device 15 can calculate these indices using temperature and wind speed, but may also calculate these indices using additional data such as radiant heat, humidity, amount of clothing, and amount of metabolism. As a result, the index can be obtained more accurately.
A heat stroke index is an index introduced to prevent heat stroke, and is calculated from temperature and humidity. However, the analysis device 15 may calculate a more accurate index by using additional data such as black bulb temperature and wet bulb temperature.
Thus, the simulation analysis (step S114) ends.

After step S114, the processor 12 executes presentation of evaluation results (S115).
Specifically, processor 12 displays screen P10 (FIG. 19) and screen P11 (FIG. 20) on the display.

A screen P10 shown in FIG. 19 is a screen that displays the measurement results regarding the measurable points. Screen P10 includes a display object A10.
An image IMG10 is displayed on the display object A10.
The image IMG10 shows the mesh temperature TEMPmesht calculated in step S112 for each of the multiple meshes that make up the target space SP. In addition, although only the physical quantity related to temperature is displayed in the illustrated example, at least one of humidity and wind speed may be written together as the measured physical quantity.
The display object A10 may display an image showing the physical quantity estimated for the unmeasurable point, or an image showing both the physical quantity measured for the measurable point and the physical quantity estimated for the unmeasurable point. may be displayed. In addition, the physical quantity measured for the measurable point and the physical quantity estimated for the unmeasurable point may be displayed in an identifiable format. Furthermore, the measuring device 10 may switch whether to display the physical quantity measured for the measurable point or whether to display the estimated physical quantity for the unmeasurable point according to the input by the user operation. .

A screen P11 shown in FIG. 20 is a screen showing the simulation result for the immeasurable point and the value of the evaluation index for the entire target space.
On the screen P11, each physical quantity is displayed for a plurality of positions existing inside each of the propagation area and the non-propagation area. Also, the value of each evaluation index calculated using those values is displayed. Note that the measuring device 10 may calculate and display an evaluation index for each partial area included in the target space, not limited to the evaluation index for the entire target space.

According to the first embodiment, the measuring device 10 measures the temperature in units of virtual partitions of the target area, which is at least one of a plurality of virtual partitions obtained by virtually dividing the target space, and based on the measurement results, , generates and sends feedback data for the air conditioner. Therefore, the air conditioner can improve the comfort of people existing in the target area while suppressing the deterioration of energy efficiency by, for example, performing feedback control regarding the temperature of the target area based on the feedback data. can. As an example, by controlling the wind direction of the air conditioner 40 so that it faces the target area where people are present or the periphery of the target area, it is possible to realize local heat control. can bring comfort to

In addition, since the analysis device 15 estimates the physical quantity in the non-propagation region using the measured physical quantity at the measurable points, the physical quantity at all spatial coordinates in the target space can be grasped.
As a result, even if there is an obstacle in the target space, or if there is an area in the target space that cannot be included in the propagation path of the sound waves because a sufficient number of the sound wave transmitters 20 and the sound wave receivers 30 cannot be arranged. Even if there is, it is possible to estimate the physical quantity at any place in the object space.

In addition, since the analysis device 15 calculates the evaluation index for the entire target space, each evaluation index that is secondary information (for example, ventilation efficiency index, comfort level, It is possible to obtain various environmental information about the target space, including index, heatstroke index, etc.).

(2) Modification 1
Modification 1 will be described with reference to FIG. 21 . 21A and 21B are diagrams for explaining an overview of the simulation analysis in Modification 1. FIG.
As shown in FIG. 21, the analysis device 15 acquires information on the amount of heat generated by a person inside the target space from another measuring device.
Here, vital data can be used as the information about the amount of heat generated. Vital data may include, for example, measurements of at least one of temperature, pulse, and blood pressure. Vital data may be obtained from a wearable device or other instrumentation worn by a person. Among vital data, body temperature can be measured remotely by an infrared camera. As vital data, a heartbeat or the like measured in a non-contact manner by sound waves (for example, WiFi (Wireless Fidelity)) may be used.
Also, the information on the amount of heat generated may include at least one of radiant heat from the person, the amount of clothing worn by the person, and the metabolic rate of the person.

Then, the analysis device 15 performs a simulation analysis using the acquired calorific value when estimating the physical quantity for each virtual section in the non-propagation region. Specifically, in the process of step S1142 in FIG. 17, boundary conditions are set using vital data. As a result, highly accurate simulation analysis can be performed in consideration of the amount of heat generated by a person.

(3) Modification 2
Modification 2 will be described with reference to FIG. 22 . 22A and 22B are diagrams for explaining an overview of the simulation analysis in Modification 2. FIG.
As shown in FIG. 22, the analysis device 15 acquires information about the environment outside the target space. Here, the information about the external environment is information including at least one of temperature, wind speed, wind volume, wind direction, and humidity in the environment outside the target space. These pieces of information can be obtained from external sensors installed outside the target space.

Then, the analysis device 15 performs simulation analysis using the acquired information about the external environment when estimating the physical quantity for each virtual section in the non-propagation region. Specifically, in the process of step S1142 in FIG. 17, the boundary conditions are set using the information about the external environment. As a result, highly accurate simulation analysis can be performed in consideration of external influences.

(4) Other Modifications Other modifications will be described.

The storage device 11 may be connected to the measuring device 10 via the network NW.

In the example of FIG. 4, an example of the sound wave receiving device 30 including the ultrasonic transducer 31 is shown. However, the sound wave receiving device 30 may include a plurality of ultrasonic transducers 31 as in the sound wave transmitting device 20 .
The sound wave transmitter 20 may include a plurality of ultrasonic transducers 21 arranged in an array. The plurality of ultrasonic transducers 21 may be controlled by individual drive control signals, may be controlled by the same drive control signal in group units, or may be controlled by the same drive control signal as a whole. good too.
The sound wave receiving device 30 may include a plurality of ultrasonic transducers 31 arranged in an array. The plurality of ultrasonic transducers 31 may be controlled by individual drive control signals, may be controlled by the same drive control signal in group units, or may be controlled by the same drive control signal as a whole. good too.

In the example of FIG. 5, one sound wave transmitting device 20 transmits ultrasonic beams along a plurality of paths, and one sound wave receiving device 30 receives ultrasonic beams along a plurality of paths. showed that. However, this embodiment is not limited to this. Each of the n (n is an integer equal to or greater than 2) sound wave transmitters 20 is an ultrasonic beam along one path (that is, the n sound wave transmitters 20 are ultrasonic beams along n paths) , and each of the n acoustic wave receivers 30 may receive an ultrasound beam along each path (i.e., n acoustic wave receivers 30 may transmit ultrasound along n paths beam).

In the above-described embodiment, an example of using a function for obtaining an average value to calculate the mesh temperature TEMPmesht was shown, but the method of calculating the mesh temperature TEMPmesht of this embodiment is not limited to this.

In the above embodiments, an example of generating feedback data based on the physical quantity (for example, temperature) of the target area has been described. However, the feedback data may be generated further based on at least one of the following in addition to the physical quantity of the region of interest.
・Dynamic parameters related to the environment of the target space SP (for example, the reference temperature measured by the thermometer 50, the amount of heat of the air conditioner 40, information related to the number, position, or movement of people present in the target space SP)
Insulation performance (for example, materials and thickness))
・Dynamic or static parameters related to the external environment of the target space SP (for example, sunshine conditions, outside temperature)

In the above embodiment, an example of generating feedback data based on the temperature of the target area was shown. However, processor 12 may generate feedback data based on at least one of temperature, wind speed, air volume, wind direction, and humidity in the area of interest. As a result, the air conditioner performs feedback control on at least one of the temperature, wind speed, and wind direction of the target area, thereby suppressing deterioration of energy efficiency and improving the comfort of people existing in the target area. can be done. The processor 12, for example, calculates a thermal environment evaluation index PMV (Predicted Mean Vote, predicted thermal sensation report), and PPD (Predicted Percentage of Dissatisfied, predicted discomfort rate (percentage of people who feel dissatisfaction or discomfort in the thermal environment)). ), and other composite parameters, and evaluation functions of various parameters may be created, and feedback control may be performed so as to optimize them.

In the above embodiment, examples were given in which the feedback data includes (1) measurement data of a physical quantity at one time point or over a plurality of time points, or (2) data obtained by processing the measurement data of (1). A controller (not shown) may control the operation of the air conditioner 40 based on the data (1) or (2) above. Specifically, the controller may generate a control signal for the air conditioner 40 or a time series pattern of the control signal for the air conditioner 40 .

In the above embodiment, an example of generating feedback data for performing feedback control to bring the temperature of the target region closer to the target value has been shown. However, according to Modifications 3 and 4, the wind vector (that is, wind speed and wind direction) of the target mesh can be measured. The air conditioner 40 can perform at least one of the following air conditioning operations. The processor 12 may generate feedback data for performing feedback control in which the air conditioner brings at least one of the temperature, wind speed, and wind direction of the target area closer to a target value.

In the above embodiment, an example was shown in which the target area is determined based on the position of a person existing in the target space SP. However, processor 12 may determine the region of interest based on the location of a given object (eg, server).

The sound wave transmitter 20 may transmit an ultrasonic beam including an autocorrelation signal with relatively strong autocorrelation (for example, an M-sequence signal, Gold code, etc.). Thereby, the S/N ratio of the measurement result of the temperature of the space can be further improved.

The sound wave receiving device 30 may identify the sound wave transmitting device 20 that is the source of the ultrasonic beam by having the sound wave transmitting devices 20 individually transmit ultrasonic beams containing different autocorrelation signals.
Further, by transmitting ultrasonic beams having different oscillation frequencies for each of the sound wave transmitting devices 20, the sound wave receiving device 30 may identify the sound wave transmitting device 20 that is the source of the ultrasonic beam.

In addition to the temperature distribution and the wind vector distribution, the measuring device 10 calculates the following air characteristic distributions based on the propagation characteristics of sound waves (for example, propagation time, amplitude change, phase change, frequency change, etc.). Measurement is also possible.
・Concentration distribution of chemical substances (e.g. CO2) in the air ・Humidity distribution ・Odor distribution ・Toxic gas distribution

In the present embodiment, the sound wave transmitting device 20 and the sound wave receiving device 30 are defined separately, but the scope of the present embodiment is not limited to this. In this embodiment, one ultrasonic transducer may have a function of transmitting ultrasonic waves and a function of receiving ultrasonic waves.

In the present embodiment, at least one of the formula used to calculate the path temperature TEMPpathi in step S1114 (FIG. 15) and the formula used to calculate the mesh temperature TEMPmesht in step S112 (FIG. 14) uses external environment information (for example, At least one of outside temperature, outside air humidity, and outside air pressure) may be included as a parameter. In this case, regardless of the external environment information, the S/N ratio of the measurement result of the air characteristics of the space can be improved.

In the present embodiment, an example in which the sound wave transmitting device 20 transmits an ultrasonic beam having directivity is shown, but the present embodiment is not limited to this. This embodiment can also be applied when the sound wave transmitter 20 transmits an audible sound beam (that is, a sound wave having a frequency different from that of the ultrasonic beam).

In this embodiment, the temperature distribution is not limited to the mesh temperature TEMPmesh. The temperature distribution also includes at least one of the following.
・Temperatures at multiple points on the route ・Average temperature on the route

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited to the above embodiments. Also, the above embodiments can be modified and modified in various ways without departing from the gist of the present invention. Also, the above embodiments and modifications can be combined.

(5) Supplementary Notes Items described in the embodiments are additionally noted below.

(Appendix 1)
Connectable to the sound wave transmitting device 20 installed in the target space and the sound wave receiving device 30 installed in the target space, and capable of individually measuring the physical quantity of each of a plurality of virtual partitions obtained by virtually dividing the target space. The measuring device 10,
Based on the propagation characteristics of the sound waves that are transmitted by the sound wave transmitting device 20, propagate along the paths in the target space, and reach the sound wave receiving device 30, the virtual segment units of the target regions on the sound wave propagation paths among the plurality of virtual segments. means 12 for calculating the physical quantity of
Means for estimating physical quantities in units of virtual sections in non-propagation regions not on the sound wave propagation path within the target space by performing simulation analysis using the spatial shape information of the target space and the calculated physical quantities. 15 and
A measuring device comprising:

(Appendix 2)
The physical quantity includes at least one of temperature, wind speed, wind volume, wind direction, and humidity in the target area,
(Additional remark 1) The measuring device as described in.

(Appendix 3)
A means 15 for calculating an evaluation index for the entire target space using the calculated physical quantity and the estimated physical quantity,
(Additional remark 1) or (Additional remark 2) The measuring device as described in.

(Appendix 4)
The evaluation index includes at least one of a ventilation efficiency index, a comfort index, and a heat stroke index,
(Additional remark 3) The measuring device as described in.

(Appendix 5)
Equipped with means 15 for acquiring information on the amount of heat generated by a person inside the target space,
When estimating the physical quantity for each virtual section in the non-propagation area, perform a simulation analysis using the obtained heat value.
(Appendix 1) to (Appendix 4) The measuring device according to any one of the above.

(Appendix 6)
Information on the calorific value includes at least one of radiant heat from a person, a person's clothing amount, and a person's metabolic rate,
(Additional remark 5) The measuring device as described in.

(Appendix 7)
comprising means 15 for acquiring information about the environment outside the target space;
When estimating the physical quantity for each virtual section in the non-propagation area, perform simulation analysis using the acquired information about the external environment,
(Appendix 1) to (Appendix 6) The measuring device according to any one of the above.

(Appendix 8)
Information about the external environment includes at least one of temperature, wind speed, wind volume, wind direction, and humidity in the external environment,
(Additional remark 7) The measuring device as described in.

(Appendix 9)
A program for causing a computer to implement each means according to any one of (Appendix 1) to (Appendix 8).

(Appendix 10)
Connectable to the sound wave transmitting device 20 installed in the target space and the sound wave receiving device 30 installed in the target space, and capable of individually measuring the physical quantity of each of a plurality of virtual partitions obtained by virtually dividing the target space. A measuring method comprising:
Based on the propagation characteristics of the sound waves that are transmitted by the sound wave transmitting device 20, propagate along the paths in the target space, and reach the sound wave receiving device 30, the virtual segment units of the target regions on the sound wave propagation paths among the plurality of virtual segments. calculation of the physical quantity of
By performing a simulation analysis using the spatial shape information of the target space and the calculated physical quantity, estimation of the physical quantity for each virtual section in a non-propagation region that is not on the propagation path of the sound wave in the interior of the target space,
measurement method.

Reference Signs List 1: air conditioning system 10: measuring device 11: storage device 12: processor 13: input/output interface 14: communication interface 15: analysis device 20: sound wave transmitting device 21: ultrasonic transducer 22: control circuit 30: sound wave receiving device 31: Ultrasonic transducer 32 : Control circuit 40 : Air conditioner 50 : Thermometer

Claims (10)

Connectable to a sound wave transmitting device installed in a target space and a sound wave receiving device installed in the target space, and capable of individually measuring the physical quantity of each of a plurality of virtual partitions obtained by virtually dividing the target space. A measuring device,
virtualization of a target area on a propagation path of a sound wave among the plurality of virtual partitions based on propagation characteristics of a sound wave transmitted by the sound wave transmitter, propagating along a path in the target space, and reaching the sound wave receiver; a means for calculating a physical quantity in units of compartments;
By performing a simulation analysis using the spatial shape information of the target space and the calculated physical quantity, a physical quantity in virtual section units in a non-propagation region not on the sound wave propagation path within the target space is calculated. means for estimating;
A measuring device comprising: The physical quantity includes at least one of temperature, wind speed, wind volume, wind direction, and humidity in the target area,
The measuring device according to claim 1. means for calculating an evaluation index for the entire target space using the calculated physical quantity and the estimated physical quantity;
The measuring device according to claim 1 or 2. The evaluation index includes at least one of a ventilation efficiency index, a comfort index, and a heatstroke index,
The measuring device according to claim 3. comprising means for acquiring information on the amount of heat generated by a person inside the target space;
Performing a simulation analysis using the obtained calorific value when estimating the physical quantity for each virtual section in the non-propagation region;
The measuring device according to any one of claims 1 to 4. The information on the calorific value includes at least one of radiant heat from the person, the amount of clothing of the person, and the metabolic rate of the person,
The measuring device according to claim 5. comprising means for acquiring information about the environment outside the target space;
When estimating the physical quantity of each virtual section in the non-propagation region, performing a simulation analysis using the acquired information about the external environment;
The measuring device according to any one of claims 1 to 6. The information about the external environment includes at least one of temperature, wind speed, air volume, wind direction, and humidity in the external environment,
The measuring device according to claim 7. A program for causing a computer to implement each means according to any one of claims 1 to 8. Connectable to a sound wave transmitting device installed in a target space and a sound wave receiving device installed in the target space, and capable of individually measuring the physical quantity of each of a plurality of virtual partitions obtained by virtually dividing the target space. A measuring method comprising:
virtualization of a target area on a propagation path of a sound wave among the plurality of virtual partitions based on propagation characteristics of a sound wave transmitted by the sound wave transmitter, propagating along a path in the target space, and reaching the sound wave receiver; Calculation of physical quantities for each compartment,
By performing a simulation analysis using the spatial shape information of the target space and the calculated physical quantity, it is possible to determine the physical quantity for each virtual section in a non-propagation region not on the sound wave propagation path within the target space. estimate and
measurement method.

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