Space value assessment system and method

Abstract

To quantify the performance of a space on the basis of the interaction between the space and persons in a building.SOLUTION: The present invention includes: an environmental sensor for measuring environmental information in a space of a building; a human flow sensor for measuring human information showing a flow of persons or activities of persons in the space; and a space value evaluation unit for calculating a space evaluation index for evaluating a space performance showing the interaction between the space and persons on the basis of at least one of the environmental information obtained by measurement using the environmental sensor and human information obtained by measurement using the human flow sensor.SELECTED DRAWING: Figure 1A

Description

[Technical Field]

[0001] The present invention relates to a space value assessment system and method. [Background technology]

[0002] Effective space utilization is important for office building owners and building management companies. Real estate value is quantified and compared based on indicators such as location, size, and age. However, quantifying performance based on the interaction between the space within a building and the residents and employees who live and work there is difficult. For example, there is no established method for quantifying performance such as the level of activity, congestion, comfort, cleanliness, energy efficiency, and ability to attract customers. Therefore, there is a need to quantitatively evaluate space performance, appropriately set tenant rents, and visualize the effects of improvements to office space.

[0003] Patent Document 1 discloses a system that measures environmental information about a residence using environmental sensors (including sound sensors, vibration sensors, temperature sensors, humidity sensors, light sensors, UV (Ultraviolet) sensors, odor sensors, and wind sensors) and registers the measured values ​​in a database for each real estate property, thereby enabling a user to easily search for real estate properties that have environmental information that matches their preferences.

[0004] Patent Document 2 discloses a system that uses motion sensors to measure office occupancy, visualizes office usage, and analyzes the likelihood of tenants canceling their contracts. This system detects changes in usage at an early stage, and the detected information can be used as an opportunity for communication between sales representatives and tenants. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Publication No. 2020-46854 [Patent Document 2] Japanese Patent Application Publication No. 2019-109655 Summary of the Invention [Problem to be solved by the invention]

[0006] Conventional technologies cannot evaluate the performance of a space based on the interaction between the space and the people who are active within it. For example, Patent Document 1 can evaluate the smell of the room itself, but cannot evaluate the smell that occurs in the room when employees are active within the room. Patent Document 2 can evaluate the number of people in the room, but cannot evaluate the comfort level of the people. Furthermore, neither patent document can evaluate what happens to the smell or comfort level of the room when a certain percentage of the room's capacity is active.

[0007] The objective of the present invention is to quantify the performance of a space based on the interaction between the space and people within a building. [Means for solving the problem]

[0008] In order to solve the above problems, the present invention provides a space value evaluation unit that calculates a space evaluation index that evaluates space performance that indicates interactions between the space and people, based on at least one of the environmental information measured by the environmental sensor and the human information measured by the people flow sensor. The environmental sensors include a room temperature sensor that measures the room temperature inside the space, an outdoor temperature sensor that measures the outdoor temperature outside the space, and a wattmeter that measures the power consumption of air conditioning equipment installed in the space, and the people flow sensor includes a human presence sensor that measures the indoor headcount, which indicates the number of people present in the space, and the space value evaluation unit calculates, of the work performance in the space defined on the premise that people's work efficiency in the space depends on temperature, the work performance in the indoor environment based on the room temperature measured by the room temperature sensor and the work performance in the outdoor environment based on the outdoor temperature measured by the outdoor temperature sensor, multiplies the difference between the calculated work performance in the indoor environment and the work performance in the outdoor environment by the indoor headcount measured by the human presence sensor, divides the value obtained by the multiplication by the power consumption measured by the wattmeter, and calculates the value obtained by the division as a value belonging to the space evaluation index and energy saving that indicates the amount of improvement in work performance per power consumption of the air conditioning equipment. The present invention also provides a space value evaluation unit that calculates a space evaluation index that indicates the interaction between the space and people based on at least one of the environmental information measured by the environmental sensor or the human information measured by the people flow sensor, and the environmental sensors include a temperature sensor that measures the temperature of the space, a humidity sensor that measures the humidity of the space, and an odor sensor that measures the odor of the space. The space value evaluation unit sequentially takes in the measurement values ​​of the temperature sensor, the humidity sensor, and the odor sensor, and calculates at least one of the reciprocal of the variance of the temperature measured by the temperature sensor, the reciprocal of the variance of the humidity measured by the humidity sensor, or the reciprocal of the variance of the odor measured by the odor sensor, as a value belonging to the space evaluation index and indicating the stability of the air in the space. The present invention also provides a method for a system including a plurality of sensors and a computer that processes outputs of each of the plurality of sensors, the method comprising: an environment measurement step in which an environmental sensor among the plurality of sensors measures environmental information in a space within a building; a people flow measurement step in which a people flow sensor among the plurality of sensors measures people information indicating people flow or human activity in the space; and a space value evaluation step in which the computer calculates a space evaluation index that evaluates space performance that indicates interaction between the space and people based on at least one of the environmental information measured in the environment measurement step or the people information measured in the people flow measurement step, wherein the plurality of sensors include a room temperature sensor that measures a room temperature inside the space, an outside air temperature sensor that measures an outside air temperature outside the space, a power meter that measures power consumption of air conditioning equipment installed in the space, and a space value evaluation step in which the computer calculates a space evaluation index that evaluates space performance that indicates interaction between the space and people based on at least one of the environmental information measured in the environment measurement step and the people information measured in the people flow measurement step. The computer includes a human presence sensor that measures the indoor number of people, which indicates the number of people present, and in the space value evaluation step, the computer calculates, out of the work performance in the space defined on the premise that human work efficiency in the space depends on temperature, the work performance in the indoor environment based on the room temperature measured by the room temperature sensor, and calculates the work performance in the outdoor environment based on the outdoor temperature measured by the outdoor temperature sensor, multiplies the difference between the calculated work performance in the indoor environment and the work performance in the outdoor environment by the indoor number of people measured by the human presence sensor, divides the value obtained by the multiplication by the power consumption measured by the wattmeter, and calculates the value obtained by the division as an energy saving value that belongs to the space evaluation index and indicates the amount of improvement in work performance per power consumption of the air conditioning equipment. The present invention also provides a method for a system including a plurality of sensors and a computer that processes outputs of the plurality of sensors, the method comprising: an environment measurement step in which an environment sensor among the plurality of sensors measures environmental information in a space within a building; a people flow measurement step in which a people flow sensor among the plurality of sensors measures people information indicating people flow or human activity in the space; and a space value evaluation step in which the computer calculates a space evaluation index that evaluates spatial performance indicating interaction between the space and people based on at least one of the environmental information measured in the environment measurement step or the people information measured in the people flow measurement step. and a space value evaluation step, wherein the plurality of sensors include a temperature sensor that measures the temperature of the space, a humidity sensor that measures the humidity of the space, and an odor sensor that measures the odor of the space, and in the space value evaluation step, the computer sequentially takes in the measurement values ​​of the temperature sensor, the humidity sensor, and the odor sensor, and calculates at least one of the inverse of the temperature variance measured by the temperature sensor, the inverse of the humidity variance measured by the humidity sensor, or the inverse of the odor variance measured by the odor sensor, as a value belonging to the space evaluation index and indicating the stability of the air in the space. [Effects of the Invention]

[0009] According to the present invention, it is possible to quantify the performance of a space based on the interaction between the space and people within a building.

[0010] Problems, configurations, and effects other than those described above will become apparent from the following description of the preferred embodiments of the invention. [Brief explanation of the drawings]

[0011] [Figure 1A] 1 is a block diagram showing an example of the overall configuration of a space value assessment system according to a first embodiment of the present invention. [Figure 1B] 1 is a block diagram showing an example of the configuration of a main part of a space value assessment system according to a first embodiment of the present invention. [Figure 1C] 1 is a block diagram showing an example of the configuration of main blocks of a space value assessment system according to a first embodiment of the present invention. [Figure 1D] 1 is a block diagram showing a first configuration example of a management block of a space value assessment system according to a first embodiment of the present invention. [Figure 1E] FIG. 2 is a block diagram showing a second configuration example of the management block of the space value assessment system according to the first embodiment of the present invention. [Figure 1F] FIG. 10 is a block diagram showing a third configuration example of the management block of the space value assessment system according to the first embodiment of the present invention. [Figure 1G] FIG. 10 is a block diagram showing a fourth configuration example of the management block of the space value assessment system according to the first embodiment of the present invention. [Figure 1H] 1 is a block diagram showing a first configuration example of a measurement block of a space value assessment system according to a first embodiment of the present invention. [Figure 1I] FIG. 2 is a block diagram showing a second configuration example of the measurement block of the space value assessment system according to the first embodiment of the present invention. [Figure 1J] FIG. 10 is a block diagram showing a third configuration example of the measurement block of the space value assessment system according to the first embodiment of the present invention. [Figure 1K] FIG. 10 is a block diagram showing a fourth configuration example of the measurement block of the space value assessment system according to the first embodiment of the present invention. [Figure 2A] FIG. 1 is an explanatory diagram showing an example of installation when an environmental sensor and a people flow sensor according to a first embodiment of the present invention are installed in a room. [Figure 2B]1 is an explanatory diagram showing an example of installation when an environmental sensor and a people flow sensor according to a first embodiment of the present invention are installed in a conference room. [Figure 2C] FIG. 1 is an explanatory diagram showing an example of installation of an environment sensor and a people flow sensor according to a first embodiment of the present invention in an office. [Figure 2D] 1 is an explanatory diagram showing an example of installation of an environmental sensor and a people flow sensor according to a first embodiment of the present invention in a building. [Figure 3A] 1 is a floor plan of a building in which a sensor according to a first embodiment of the present invention is installed. [Figure 3B] 1 is a floor plan of a shopping mall in which a sensor according to a first embodiment of the present invention is installed. [Figure 4A] 2 is a configuration diagram illustrating an example of the configuration of a database that accumulates log data output by an environmental sensor according to the first embodiment of the present invention. FIG. [Figure 4B] 1 is a configuration diagram illustrating an example of the configuration of a database that accumulates log data asynchronously output by a plurality of environmental sensors according to the first embodiment of the present invention. FIG. [Figure 5A] 1 is a configuration diagram showing an example of the configuration of a database that accumulates log data output by a people flow sensor according to Example 1 of the present invention. FIG. [Figure 5B] 1 is a configuration diagram illustrating an example of the configuration of a database that aggregates log data output by a plurality of people flow sensors according to Example 1 of the present invention. FIG. [Figure 6A] FIG. 2 is a characteristic diagram showing time-series changes in sensor data of the people flow sensor according to the first embodiment of the present invention. [Figure 6B] FIG. 3 is a characteristic diagram showing time-series changes in sensor data of the illuminance sensor according to the first embodiment of the present invention. [Figure 6C] FIG. 3 is a characteristic diagram showing time-series changes in sensor data of the temperature sensor according to the first embodiment of the present invention. [Figure 6D] FIG. 3 is a characteristic diagram showing time-series changes in sensor data of the humidity sensor according to the first embodiment of the present invention. [Figure 6E] 3 is a characteristic diagram showing time-series changes in sensor data of the CO2 concentration sensor according to the first embodiment of the present invention. FIG. [Figure 6F]FIG. 2 is a characteristic diagram showing time-series changes in sensor data of the odor sensor according to Example 1 of the present invention. [Figure 7] FIG. 2 is a configuration diagram showing an example of the configuration of a database of spatial evaluation indexes according to the first embodiment of the present invention. [Figure 8A] 1 is a configuration diagram illustrating an example of the configuration of an environment sensor according to a first embodiment of the present invention. [Figure 8B] 1 is a configuration diagram illustrating an example of the configuration of a people flow sensor according to a first embodiment of the present invention. [Figure 9] FIG. 10 is a block diagram showing a schematic configuration example of a space value assessment system according to a second embodiment of the present invention. [Figure 10A] FIG. 10 is a block diagram showing an example of the overall configuration of a space value assessment system according to a second embodiment of the present invention. [Figure 10B] FIG. 10 is a block diagram showing another example of the overall configuration of the space value assessment system according to the second embodiment of the present invention. [Figure 11] FIG. 10 is a diagram illustrating an example of a screen that presents the evaluation result of the spatial performance to the user according to the second embodiment of the present invention. [Figure 12] FIG. 10 is an explanatory diagram for explaining the energy saving performance of the space value assessment system according to Example 3 of the present invention. [Figure 13A] FIG. 10 is a temperature characteristic diagram for explaining time-series changes in energy saving performance in the space value assessment system according to Example 3 of the present invention. [Figure 13B] FIG. 10 is a work performance characteristic diagram for explaining time-series changes in energy saving performance in the space value assessment system according to Example 3 of the present invention. [Figure 13C] FIG. 10 is a diagram illustrating indoor occupancy characteristics for explaining time-series changes in energy saving performance in the space value assessment system according to Example 3 of the present invention. [Figure 13D] FIG. 10 is an air conditioning power consumption characteristic diagram for explaining time-series changes in energy saving performance in the space value assessment system according to Example 3 of the present invention. [Figure 13E] FIG. 10 is an energy saving characteristic diagram for explaining time series changes in energy saving performance in the space value assessment system according to Example 3 of the present invention. [Figure 14]FIG. 10 is a distribution diagram of the stability of air in a room applied in a space value assessment system according to Example 4 of the present invention. [Figure 15] FIG. 10 is a characteristic diagram showing time-series changes in temperature at a measurement point employed in the space value assessment system according to Example 4 of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. The embodiment is an example for explaining the present invention, and for clarity of explanation, appropriate omissions and simplifications have been made. The present invention can be implemented in various other forms. Unless otherwise specified, each component may be singular or plural.

[0013] In order to facilitate understanding of the invention, the position, size, shape, range, etc. of each component shown in the drawings may not represent the actual position, size, shape, range, etc. Therefore, the present invention is not necessarily limited to the position, size, shape, range, etc. disclosed in the drawings.

[0014] Although various types of information may be described using expressions such as "table," "list," and "queue," the various types of information may be expressed using data structures other than these. For example, various types of information such as "XX table," "XX list," and "XX queue" may be expressed as "XX information." When discussing identifiers, we use the terms "identifier," "identifier," "first name," "ID," "number," "number" and "numbers." The terms "number" and "number of the product" are used, but these are interchangeable.

[0015] When there are multiple components with the same or similar functions, they may be described using the same reference numeral with different subscripts. When there is no need to distinguish between these multiple components, the subscripts may be omitted.

[0016] In the embodiments, processing performed by executing a program may be described. Here, a computer executes the program using a processor (e.g., a CPU or a GPU) and performs processing defined by the program using storage resources (e.g., a memory) and interface devices (e.g., a communication port). Therefore, the entity performing the processing by executing the program may be the processor. Similarly, the entity performing the processing by executing the program may be a controller, device, system, computer, or node having a processor. The entity performing the processing by executing the program may be any computing unit, and may include a dedicated circuit that performs specific processing. Here, the dedicated circuit may be, for example, an FPGA (Field Programmable Gate Array), an ASIC (Application Specific Integrated Circuit), or a CPLD (Complex Programmable Logic Device).

[0017] A program may be installed on a computer from a program source. The program source may be, for example, a program distribution server or a computer-readable storage medium. When the program source is a program distribution server, the program distribution server may include a processor and storage resources for storing the program to be distributed, and the processor of the program distribution server may distribute the program to be distributed to other computers. In addition, in an embodiment, two or more programs may be realized as one program, or one program may be realized as two or more programs. [Example]

[0018] In Example 1, an environmental sensor and a people flow sensor are installed in an indoor space (hereinafter abbreviated as space) in a building such as a shopping mall or office (hereinafter abbreviated as building), and the performance of the space (hereinafter abbreviated as space performance) based on the interaction between the space and people is evaluated based on the measurement values ​​of the environmental sensor and the measurement values ​​of the people flow sensor, and the evaluation results are displayed on the user's user terminal. Users include the owner of the building, the manager of a real estate company or building management company that manages the building, the management officer or CCO (Chief Comfort Officer) of tenants occupying the building, employees working in the building, and visitors or customers temporarily staying in the building for shopping or other purposes.

[0019] Fig. 1A is a block diagram showing an example of the overall configuration of a space value assessment system according to a first embodiment of the present invention. In Fig. 1, the space value assessment system 1 includes a building management server 101, a network 102, multiple edge servers 103, multiple local networks 104, multiple environmental sensors 105, multiple people flow sensors 106, and multiple user terminals 107. The building management server 101 is connected to each edge server 103 and each user terminal 107 via the network 102. Each edge server 103 is connected to each people flow sensor 106 and each environmental sensor 105 via the local network 104.

[0020] The building management server 101 is equipped with a data storage unit 101a, a space value evaluation unit 101b, and a space evaluation index storage unit 101c, and collects sensor data from each edge server 103 via a network 102, stores and evaluates the collected sensor data, and presents the evaluation results to each user terminal 107 via the network 102 in a form desired by the user.

[0021] The data accumulation unit 101a accumulates sensor data collected from each edge server 103. The space value evaluation unit 101b calculates a space evaluation index based on the sensor data collected from each edge server 103. The space evaluation index accumulation unit 101c accumulates the space evaluation index calculated by the space value evaluation unit 101b.

[0022] The building management server 101 is configured, for example, by a computer device (not shown) that includes a processor, a main storage device, an auxiliary storage device, an input device, an output device, and a communication device.

[0023] The processor is configured using, for example, a CPU (Central Processing Unit) and an MPU (Micro Processing Unit).

[0024] The main memory device is a device that stores computer programs and data, and is, for example, a read-only memory (ROM), a random access memory (RAM), or a non-volatile semiconductor memory.

[0025] Examples of auxiliary storage devices include hard disk drives, solid state drives (SSDs), optical storage media (e.g., compact discs (CDs), digital versatile discs (DVDs), etc.), storage systems, integrated circuit cards (IC cards), secure digital (SD) memory cards, and other storage medium read / write devices, as well as storage areas of cloud servers. Computer programs and data stored in the auxiliary storage devices are loaded into the main storage device as needed.

[0026] An example of a computer program stored in the auxiliary storage device is a space value assessment program that calculates space evaluation indices based on sensor data collected from each edge server 103. The CPU of the building management server 101 reads out the space value assessment program from the auxiliary storage device and executes it, thereby realizing the function of the space value assessment unit 101b.

[0027] Examples of input devices include keyboards, mice, touch panels, card readers, and audio input devices. Output devices (display devices) are user interfaces that provide users with various information such as processing progress and results. Examples of output devices include screen display devices (i.e., liquid crystal monitors, LCDs (Liquid Crystal Displays), or graphics cards), audio output devices (i.e., speakers, or printers), etc.

[0028] The communication device is a wired or wireless communication interface that realizes communication with other devices via communication means such as a LAN (Local Area Network), the Internet, etc. The communication device is, for example, a NIC (Network Interface Card), a wireless communication module, a USB (Universal Serial Bus) module, or a serial communication module.

[0029] The building management server 101 may be an on-premise server installed inside a building, or a virtual server built on the cloud. The building management server 101 may be built using a computer device including a CPU, memory, and storage (SSD, HDD, etc.). There may be multiple building management servers 101 per building, or there may be one building management server 101 that manages multiple buildings.

[0030] The network 102 may be a wide area internet line or a private network established within a building.

[0031] The edge server 103 is constructed of a computer device including a CPU, memory, and storage, and collects sensor data output from each environmental sensor 105 and each people flow sensor 106 via each local network 104, and transmits the collected sensor data to the building management server 101 via the network 102. It is conceivable that one edge server 103 is installed on each floor or in each room in a building. The edge server 103 can also accumulate the collected sensor data in its own storage.

[0032] It is also possible to configure the local network 104 and the network 102 as the same network. In this case, the edge server 103 is unnecessary, and each environmental sensor 105 and each people flow sensor 106 communicates directly with the building management server 101 without the intermediate edge server 103.

[0033] Installing the edge server 103 has two main benefits. The first benefit is in terms of computational resources. There is a possibility that tens to hundreds of environmental sensors 105 and people flow sensors 106 will be installed in one space. Furthermore, if there are many spaces in a building, the number of sensors will be enormous, and if the building management server 101 were to process all communications, the computational resources of the building management server 101 would be strained, increasing the risk of communication delays and data loss. In this case, by installing the edge server 103, the computational resources are distributed between the edge server 103 and the building management server 101, thereby reducing such risks.

[0034] The second effect is a security effect. The environmental sensor 105 and the people flow sensor 106 are composed of devices collectively referred to as IOT (Internet of Things), and it is generally difficult to implement strong security measures for them. For this reason, connecting the environmental sensor 105 and the people flow sensor 106 to the network 102, which may be accessed from outside, leads to security risks such as unauthorized access. For this reason, installing the environmental sensor 105 and the people flow sensor 106 under the control of the local network 104, which is cut off from communication with the outside, can reduce security risks.

[0035] Communication in the local network 104 may be wired or wireless. In the case of wired communication, possible connections include USB connection, Ethernet connection, bus cable connection, etc., and possible communication methods include serial communication, Modbus communication, I2C (Inter-Integrated Circuit) communication, SPI (Serial Peripheral Interface) communication, TCP (Transmission Control Protocol) / IP (Internet Protocol) communication, etc. In the case of wireless communication, possible connections include Bluetooth connection, WiFi connection, 920 MHz band wireless connection, Zigbee connection, etc.

[0036] One or more environmental sensors 105 are installed. The environmental sensor 105 includes, as a sensor element, one of a temperature sensor, a humidity sensor, an odor sensor, an illuminance sensor, a CO2 concentration sensor, a toxic gas concentration sensor, a suspended particle concentration sensor, a color sensor, an illuminance sensor, a sound level meter, a microphone, a vibration sensor, etc. The specific configuration of the environmental sensor 105 will be described later with reference to FIG. 8A.

[0037] The environmental sensor 105 transmits its output to the edge server 103 periodically or irregularly. For example, the environmental sensor 105 can read the output of the detection target every 10 seconds and transmit the read sensor data to the edge server 103 as environmental information. Here, environmental information refers to information indicating the air quality in the space, such as humidity and odor, information indicating the environment in the space, such as humidity and illuminance, or information indicating equipment installed in the space, such as air conditioning equipment. Furthermore, for environmental sensors 105 that require readings at a high sampling rate, such as sound and vibration, the information may be converted into feature values ​​before being transmitted to the edge server 103. For example, it is conceivable to read the microphone output at a sampling rate of 44.1 ksPs, calculate the average value, effective value, maximum value, or standard deviation every 10 seconds, and transmit each calculation result to the edge server 103. When calculating the feature values, the measured values ​​may be digitally filtered to remove noise or zero-point correction may be performed by subtracting the average value.

[0038] The environmental sensor 105 and the edge server 103 may calibrate each sensor belonging to the environmental sensor 105. For example, odor sensors, in principle, have large individual differences. At 1:00 AM every day, the odor sensor outputs measured by multiple environmental sensors 105 are periodically aggregated in the edge server 103, and the edge server 103 performs correction calculations to make the output of each odor sensor constant and calculates correction coefficients. The edge server 103 then transmits the calculated correction coefficients to each environmental sensor 105, and each environmental sensor 105 calibrates the odor sensor. Calibration may also be performed by the environmental sensor 105 itself, without going through the edge server 103.

[0039] One or more people flow sensors 106 are installed. The people flow sensor 106 includes, as a sensor element, any one of a ToF (Time of Flight) camera, a LiDAR (Light Detection and Ranging) sensor, a human presence sensor, an infrared sensor, etc. The specific configuration of the people flow sensor 106 will be described later with reference to FIG. 8B.

[0040] The people flow sensor 106 periodically or irregularly transmits the read sensor data as people flow information to the edge server 103. For example, the people flow sensor 106 can transmit the read sensor data as people flow information to the edge server 103 every 10 seconds. Here, the people flow information is, for example, information obtained from people flow indicating the flow and movement of people in a space, or information obtained from people's activities in a space. The people flow sensor 106 may aggregate the outputs of multiple people flow sensors 106, calculate the number of people passing through a specific area, and transmit this calculation result to the edge server 103. For example, ToF cameras may be installed near multiple entrances and exits of a room, and the number of people passing through each entrance and exit (the number of people entering and leaving the room) may be tallied and the tallied result may be transmitted to the edge server 103.

[0041] The user terminal 107 is configured as a computer device including a display device, a personal computer, a tablet terminal, a smartphone, a server, and the like.

[0042] FIG. 1B is a block diagram showing an example of the configuration of the main components of a spatial value assessment system according to a first embodiment of the present invention. In FIG. 1B, the spatial value assessment system 1 includes, as its main components, an environmental sensor 105, a people flow sensor 106, and a spatial value assessment unit 101b. The environmental sensor 105 measures environmental information in the space within the building and transmits the measured environmental information to the spatial value assessment unit 101b. The people flow sensor 106 measures people flow information indicating the flow of people or human activity in the space within the building and transmits the measured people flow information to the spatial value assessment unit 101b. The spatial value assessment unit 101b receives the environmental information transmitted from the environmental sensor 105 and the people flow information transmitted from the people flow sensor 106, and calculates a space evaluation index as a numerical value based on at least one of the received environmental information and people flow information. Here, the space evaluation index is an index for evaluating spatial performance based on the interaction between a space and people (people in the space).

[0043] Fig. 1C is a block diagram showing an example of the configuration of the main blocks of the spatial value assessment system according to Example 1 of the present invention. In Fig. 1C, the spatial value assessment system 1 comprises, as its main blocks, a management block 1001 and a measurement block 1002. The management block 1001 has a spatial value assessment unit 101b. The measurement block 1002 has an environmental sensor 105 and a people flow sensor 106. Within the measurement block 1002, the environmental sensor 105 measures environmental information and transmits the measured environmental information to the spatial value assessment unit 101b, and the people flow sensor 106 measures people flow information and transmits the measured people flow information to the spatial value assessment unit 101b.

[0044] That is, the measurement block 1002 transmits environmental information and people flow information to the management block 1001. Within the management block 1001, the space value evaluation unit 101b receives the environmental information transmitted from the environmental sensor 105 and the people flow information transmitted from the people flow sensor 106, and calculates a space evaluation index as a numerical value based on at least one of the received environmental information and people flow information.

[0045] 1D is a block diagram showing a first configuration example of a management block of a spatial value assessment system according to a first embodiment of the present invention. In FIG. 1D, the management block 1001 includes a spatial value assessment unit 101b that receives environmental information and people flow information transmitted from a measurement block 1002 and calculates a spatial evaluation index as a numerical value based on at least one of the received environmental information and people flow information. In this case, the spatial evaluation index calculated by the spatial value assessment unit 101b can be displayed on a monitor in real time. The monitor can employ a dashboard system that graphically displays the spatial evaluation index.

[0046] 1E is a block diagram showing a second configuration example of the management block of the spatial value assessment system according to the first embodiment of the present invention. In FIG. 1E, the management block 1001 includes a spatial value assessment unit 101b that receives environmental information and people flow information transmitted from a measurement block 1002 and calculates a spatial evaluation index as a numerical value based on at least one of the received environmental information and people flow information, and a data accumulation unit 101a that receives environmental information and people flow information transmitted from the measurement block 1002 and accumulates the received environmental information and people flow information. At this time, by recording the measurement data of the environmental information and people flow information in the data accumulation unit 101a as sensor data, past sensor data can be reviewed.

[0047] 1F is a block diagram showing a third configuration example of the management block of the spatial value assessment system according to the first embodiment of the present invention. In FIG. 1F, the management block 1001 includes a data storage unit 101a that receives environmental information and people flow information transmitted from a measurement block 1002 and stores the received environmental information and people flow information, a spatial value assessment unit 101b that receives environmental information and people flow information transmitted from the measurement block 1002 and calculates a spatial evaluation index as a numerical value based on at least one of the received environmental information and people flow information, and a spatial evaluation index storage unit 101c that stores the spatial evaluation index calculated by the spatial value assessment unit 101b. By recording the spatial evaluation index calculated by the spatial value assessment unit 101b in the spatial evaluation index storage unit 101c, past sensor data and past spatial evaluation indexes can be reviewed.

[0048] 1G is a block diagram showing a fourth configuration example of the management block of the spatial value assessment system according to the first embodiment of the present invention. In FIG. 1G, the management block 1001 includes a spatial value assessment unit 101b that receives environmental information and people flow information transmitted from the measurement block 1002 and calculates a spatial evaluation index as a numerical value based on at least one of the received environmental information and people flow information, and a spatial evaluation index accumulation unit 101c that accumulates the spatial evaluation index calculated by the spatial value assessment unit 101b. At this time, past spatial evaluation indexes are reviewed, but this configuration is adopted when there is no need to review past sensor data.

[0049] FIG. 1H is a block diagram showing a first configuration example of a measurement block of the space value assessment system according to the first embodiment of the present invention. In FIG. 1H, the measurement block 1002 includes multiple environmental sensors 105 and multiple people flow sensors 106. In the measurement block 1002, each environmental sensor 105 measures environmental information in the space within the building and transmits the measured environmental information to the management block 1001. Each people flow sensor 106 measures people flow information indicating the flow of people or human activity in the space within the building and transmits the measured people flow information to the management block 1001. The pattern of the measurement block 1002 in FIG. 1H is a pattern in which each environmental sensor 105 and each people flow sensor 106 are directly connected to the management block 1001. This pattern corresponds to a case in which the measurement block 1002 and the management block 1001 are physically close to each other, and each sensor can communicate with the control device of the management block 1001 via wired or wireless communication.

[0050] FIG. 1I is a block diagram showing a second configuration example of a measurement block of the space value assessment system according to the first embodiment of the present invention. In FIG. 1I, the measurement block 1002 includes multiple environmental sensors 105, multiple people flow sensors 106, and an edge server 103. In the measurement block 1002, each environmental sensor 105 measures environmental information within the building and transmits the measured environmental information to the edge server 103. Each people flow sensor 106 measures people flow information indicating the flow of people or human activity within the building and transmits the measured people flow information to the edge server 103. The edge server 103 receives the environmental information transmitted from each environmental sensor 105 and the people flow information transmitted from each people flow sensor 106, and transmits the received environmental information and people flow information to the management block 1001. The pattern of the measurement block 1002 in FIG. 1I is a pattern in which information detected by each environmental sensor 105 and each people flow sensor 106 is aggregated and transmitted to the management block 1001. This corresponds to a case where there are a large number of environmental sensors 105 and people flow sensors 106, and it is difficult for the control device of the management block 1001 to receive information from all of the sensors.

[0051] FIG. 1J is a block diagram showing a third configuration example of a measurement block of the space value assessment system according to the first embodiment of the present invention. In FIG. 1J, the measurement block 1002 includes multiple environmental sensors 105, multiple people flow sensors 106, and a local network 104. In the measurement block 1002, each environmental sensor 105 measures environmental information within the building and transmits the measured environmental information to the local network 104. Each people flow sensor 106 measures people flow information indicating the flow of people or human activity within the building and transmits the measured people flow information to the local network 104. The local network 104 receives the environmental information transmitted from each environmental sensor 105 and the people flow information transmitted from each people flow sensor 106 and transmits the received environmental information and people flow information to the management block 1001. The measurement block 1002 in FIG. 1J has a configuration in which the environmental sensors 105 and the people flow sensors 106 are connected to the management block 1001 via the local network 104. This corresponds to the case where a WiFi router is installed as an implementation of the local network 104, and each sensor secures a communication path by connecting to the WiFi router.

[0052] 1K is a block diagram showing a fourth configuration example of the measurement block of the space value assessment system according to the first embodiment of the present invention. In FIG. 1K, the measurement block 1002 includes multiple environmental sensors 105, multiple people flow sensors 106, a local network 104, and an edge server 103. In the measurement block 1002, each environmental sensor 105 measures environmental information in the space within the building and transmits the measured environmental information to the edge server 103 via the local network 104. Each people flow sensor 106 measures people flow information indicating the flow of people or human activity in the space within the building and transmits the measured people flow information to the edge server 103 via the local network 104. The edge server 103 receives the environmental information transmitted from each environmental sensor 105 and the people flow information transmitted from each people flow sensor 106 via the local network 104 and transmits the received environmental information and people flow information to the management block 1001. The pattern of the measurement block 1002 in Fig. 1K is a pattern in which each sensor is connected to the management block 1001 via the local network 104 and the edge server 103. As with the edge server 103 shown in Fig. 1I, this corresponds to a case in which information (data) is aggregated in the edge server 103, or a case in which the local network 104 is separated from the management block 1001 in terms of a network.

[0053] FIG. 2A is an explanatory diagram showing an example of installation of an environmental sensor and a people flow sensor according to the first embodiment of the present invention in a room. In FIG. 2A, the people flow sensor 106 is installed on a ceiling 10b or a wall 10c near an entrance / exit 10a of a room 10, and the installation angle is adjusted so that the area in front of the entrance / exit 10a is included in the angle of view. Here, the people flow sensor 106 is assumed to be a ToF camera. The people flow sensor 106 counts the number of people who pass through an entry / exit reference line 201 located approximately in the center of the area in front of the entrance / exit 10a. In this case, the number of people in the room 10 can be calculated by tallying the number of people who enter the room through the entrance / exit 10a and pass through the entry / exit reference line 201, and the number of people who pass through the entry / exit reference line 201 and exit the room through the entrance / exit 10a.

[0054] The environmental sensors 105 are installed on the ceiling 10b, walls 10c, and floor 10d of the room 10, as well as on desks 11 and cabinets within the room, and measure environmental information about the surrounding area. The environmental sensor 105 installed on the ceiling 10b can detect the overall temperature, humidity, odor, and other information within the room. The environmental sensor 105 installed on the floor 10d can obtain information about people walking around the environmental sensor 105 by using a vibration sensor to detect vibrations caused by footsteps. The environmental sensor 105 installed on the desk 11 can obtain information about people's conversations occurring around it (frequency of conversation, level of excitement, mood, good mood, excitement level, liveliness level, etc.) by using a microphone to detect sounds caused by conversations. Furthermore, the environmental sensor 105 installed on the desk can obtain information about whether an appropriate amount of light is being provided for desk work by using an illuminance sensor to detect the brightness of lighting. Regardless of where the environmental sensor 105 is installed, it can detect odors in the surrounding area (odors caused by food, people, air conditioning, fragrances, etc.). In addition, by capturing the ambient CO2 concentration, information can be obtained as to whether an appropriate CO2 concentration is being maintained for human activity.

[0055] FIG. 2B is an explanatory diagram illustrating an example of installation of an environmental sensor and a people flow sensor according to the first embodiment of the present invention in a conference room. In FIG. 2B , a whiteboard 16 and a conference desk 17 are placed in the conference room 15. Therefore, in the conference room 15, environmental sensors 105 are installed around the whiteboard 16 and the conference desk 17 in order to calculate spatial evaluation indices around the whiteboard 16 and the conference desk 17. For example, the environmental sensor 105 is installed above the whiteboard 16, on the conference desk 17, or on the ceiling 15a above the conference desk 17. The people flow sensor 106 is installed on a wall 15b of the conference room 15. That is, since conference participants 18 move freely on a floor 15c in the conference room, the people flow sensor 106 is installed on the wall 15b so as to capture the flow of people throughout the conference room. In this case, the installation angle of the people flow sensor 106 is adjusted so that an area including the conference participants 18 near the whiteboard 16 and the conference participants 18 near the conference desk 17 is included in the angle of view. Here, the people flow sensor 106 is assumed to be a ToF camera.

[0056] FIG. 2C is an explanatory diagram showing an example of installation of an environmental sensor and a people flow sensor according to the first embodiment of the present invention in an office. In FIG. 2C, environmental sensors 105 are installed on conference table 21 and work desk 22 in office 20, which has an open conference space. In office 20, which has an open conference space, people eat around conference table 21, so food odors waft around conference table 21 and work desk 22 during lunchtime. Therefore, by installing environmental sensors 105, which are odor sensors, on conference table 21 and work desk 22, respectively, it is possible to evaluate differences in odors between locations based on the output of each environmental sensor 105. Note that examples of spaces similar to open conference spaces include collaboration spaces, spaces for standing conversations, presentation spaces, magnet spaces, office kitchens, and island kitchens.

[0057] FIG. 2D is an explanatory diagram showing an example of installation of an environmental sensor and a people flow sensor according to the first embodiment of the present invention in a building. In FIG. 2D, a soundproof booth 27 is installed on a floor 26a of a room 26 in a building 25, and a vibration damper 28 is installed on a ceiling 26b and a wall 26c of the room 26, connecting the ceiling 26b and the wall 26c. An environmental sensor 105x for detecting a noise level is installed on the inner wall of the soundproof booth 27, which is a type of soundproofing equipment, and an environmental sensor 105y for detecting a noise level is installed on the outer wall of the soundproof booth 27. In this case, by comparing the difference between the output of the environmental sensor 105x and the output of the environmental sensor 105y, the soundproofing performance of the soundproof booth 27 and the level of noise inside and outside the soundproof booth can be evaluated. An environmental sensor 105z is installed in the vibration damper 28, which is a type of vibration damping equipment. By capturing the vibration of the vibration damper 28 during an earthquake with the environmental sensor 105z, it is possible to evaluate the vibration damping performance of the room 26 in which the vibration damper 28 is installed or the vibration damping performance of the entire building.

[0058] FIG. 3A is a floor plan of a building in which a sensor according to the first embodiment of the present invention is installed. In FIG. 3A, this floor 300 has a corridor 302 connected to a corridor entrance 301, and two rooms (Room 1) 303 and Room 2 304 arranged across the corridor 302. To count the number of people in the corridor 302 and the rooms 303 and 304 on the floor 300, people flow sensors 106 are installed near the corridor entrance 301 and the entrances to each of the rooms 303 and 304. In this case, a line that a person always passes through when passing through the corridor entrance 301 and the entrances to each of the rooms 303 and 304 is defined as an entry / exit reference line 201. As a result, the people flow sensor 106 can obtain people flow information about people moving between the corridor 302 and the rooms 303 and 304 by detecting people passing through the entry / exit reference line 201.

[0059] Environmental sensors 105 are installed to measure local spatial information of the hallway 302 and rooms 303 and 304 as environmental information. Room 304 is a relatively larger space than room 303, and it is expected that the environment within room 304 will vary. For example, environmental sensor 105a, which belongs to environmental sensors 105, is installed in an area of ​​room 304 where windows 305 face two directions. This area is subject to active heat exchange with the outside air, and therefore the temperature is expected to be unstable, such as being hot during the day and cold at night. Environmental sensor 105b is installed in an area near the entrance to room 304. It is expected that noise will be generated in this area every time the entrance to room 304 is opened and closed, and that the air in hallway 302 and the room will mix, causing the odor to change. Environmental sensor 105c is installed in an area of ​​room 304 that does not have any windows 305 or entrances nearby. It is expected that the environment in this area will be relatively stable.

[0060] 3B is a floor plan of a shopping mall in which sensors according to the first embodiment of the present invention are installed. In FIG. 3B, floor 310 of the shopping mall is divided into outdoor area 311, north area 312, and south area 313, and entry / exit reference line 201 is set at the boundary between each area. People flow sensor 106 is installed at the boundary between each area. Each people flow sensor 106 can count the number of people who have passed through entry / exit reference line 201 to enter each area and the number of people who have passed through entry / exit reference line 201 to leave each area, thereby measuring the number of people staying in each area.

[0061] Furthermore, on floor 310, near southwest entrance 314, escalators 315 and 316, and elevator 317, entry / exit reference lines 201 are set and people flow sensors 106 are installed. The people flow sensor 106 installed near southwest entrance 314 can measure the number of people entering and exiting through southwest entrance 314. The people flow sensors 106 installed near escalators 315 and 316 and elevator 317 can measure the number of people using escalators 315, 316, and elevator 317, respectively.

[0062] Additionally, a event hall 318 and stores S1 to S5, S8, S9, S12, and S13 are located in the north area 312 of floor 310, while a food court 319 and stores S6, S7, S10, S11, S14, and S15 are located in the south area 313. Environmental sensors 105 are installed in the event hall 318, food court 319, and stores S1 to S15, respectively. By installing the environmental sensors 105 in the event hall 318, food court 319, and stores S1 to S15, environmental information for the event hall 318, food court 319, and each of the stores S1 to S15 can be obtained. Furthermore, by comparing the environmental information for each store, it becomes possible to compare the environments between stores.

[0063] By installing the environmental sensor 105 in the toilet (WC) 320 or the garbage collection area on the floor 310, it is possible to measure the degree of odor leakage from the toilet (WC) 320 or the garbage collection area.

[0064] 4A is a diagram illustrating an example of the configuration of a database that accumulates log data output by the environmental sensor according to the first embodiment of the present invention. In FIG. 4A, the database 400 is assumed to be included in the data accumulation unit 101a of the building management server 101, but may also be included in the edge server 103. The database 400 includes a timestamp 401, temperature (°C) 402, humidity (%RH) 403, odor (au) 404, illuminance (lx) 405, CO2 concentration (ppm) 406, noise (dB) 407, vibration (m / s 2 ) It has 408 items (columns).

[0065] The timestamp 401 records information about the time (sampling time) when each of the multiple environmental sensors 105 reads sensor data. For example, if the environmental sensors 105 synchronously read sensor data every 10 seconds, the timestamp 401 records information about the time every 10 seconds. The temperature 402 records information indicating sensor data of the temperature detected by the environmental sensor 105. The humidity 403 records information indicating sensor data of the humidity detected by the environmental sensor 105. The odor 404 records information indicating sensor data of the odor detected by the environmental sensor 105. The illuminance 405 records information indicating sensor data of the illuminance detected by the environmental sensor 105. The CO2 concentration 406 records information indicating sensor data of the CO2 concentration detected by the environmental sensor 105. The noise 407 records information indicating sensor data of the noise detected by the environmental sensor 105. The vibration 408 records information indicating sensor data of the vibration detected by the environmental sensor 105. Here, as described above, the output of each environmental sensor 105 may be converted into a feature value (such as an average value or a maximum value) and recorded. These feature values ​​are merely examples, and the method for calculating the feature value is not limited to this.

[0066] Although the example in which the environmental sensors 105 synchronously read sensor data has been described, the environmental sensors 105 can also read sensor data at different times (sampling times). For example, if the environmental sensors 105 are configured as independent devices, each device can have an RTC (Real Time Clock) module to generate a timestamp. Also, for environmental sensors 105 that measure data that changes over a relatively long time span, such as illuminance or CO2 concentration, it may be desirable to lengthen the measurement cycle and reduce the amount of accumulated data. In such cases, a configuration can be adopted in which the sensor data is read at different times (sampling times) for each environmental sensor 105.

[0067] 4B is a diagram showing an example of the configuration of a database that stores log data asynchronously output by a plurality of environmental sensors according to the first embodiment of the present invention. In FIG. 4B, database 402A stores log data when environmental sensor 105 that detects temperature reads sensor data every 10 seconds. Database 403A stores log data when environmental sensor 105 that detects humidity reads sensor data asynchronously with environmental sensor 105 that detects temperature, for example, every 5 seconds.

[0068] 5A is a configuration diagram showing an example of the configuration of a database that accumulates log data output by the people flow sensor according to Example 1 of the present invention. In FIG. 5A, the database 500 is assumed to be included in the data accumulation unit 101a of the building management server 101, but may also be included in the edge server 103.

[0069] The database 500 has items (columns) of a timestamp 501 and an entrance / exit A 502. The entrance / exit A 502 is composed of the number of people entering (persons) 503 and the number of people leaving (persons) 504.

[0070] Information on the time when the people flow sensor 106 installed at entrance / exit A reads the sensor data is recorded every 30 seconds in timestamp 501. Information indicating the number of people detected by the people flow sensor 106 at each time is recorded in number of people entering (people) 503 and number of people leaving (people) 504 at entrance / exit A 5012. That is, information on the number of people who entered at each time is recorded in number of people entering (people) 503, and information on the number of people leaving (people) 504 is recorded.

[0071] 5B is a diagram illustrating an example of the configuration of a database that aggregates log data output by a plurality of people flow sensors according to the first embodiment of the present invention. In FIG. 5B, the database 510 is assumed to be included in the data accumulation unit 101a of the building management server 101, but may also be included in the edge server 103. Here, the room 303 shown in FIG. 3A is assumed to be an example of a room with two entrances.

[0072] The database 510 has items (columns) of timestamp 511, entrance / exit A 512, entrance / exit B 513, and number of people in the room 514. Entrance / exit A 512 is composed of number of people entering (people) 515 and number of people leaving (people) 516, and entrance / exit B 513 is composed of number of people entering (people) 517 and number of people leaving (people) 518.

[0073] In timestamp 511, information on the time when the people flow sensors 106 installed at Entrance A and Entrance B respectively read sensor data is recorded every 30 seconds. Number of entering people (people) 515 and number of leaving people 516 at Entrance A 512 record information indicating the number of people detected by the people flow sensor 106 installed near Entrance A. Number of entering people (people) 517 and number of leaving people (people) 518 at Entrance B 513 record information indicating the number of people detected by the people flow sensor 106 installed near Entrance B. For example, number of entering people (people) 515 and number of entering people (people) 517 record information on the number of people who entered within 30 seconds, and number of leaving people 516 and number of leaving people 518 record information on the number of people who left within 30 seconds. Indoor occupancy count 514 records information indicating the number of people staying in the room, which is calculated by adding up the number of people recorded in the entry numbers 515 and 517 at the two entrances A and B and the number of people recorded in the exit numbers 516 and 518. Note that databases similar to database 510 are also created for other rooms, for example, room 304.

[0074] Fig. 6A is a characteristic diagram showing time-series changes in sensor data of the people flow sensor according to Example 1 of the present invention. In Fig. 6A, the vertical axis represents the number of people in a room calculated from the sensor data of the people flow sensor, and the horizontal axis represents the time of day from midnight to midnight. The number of people in a room is zero from midnight to around 6:00, but gradually increases from around 6:00, and shows a characteristic of increasing and decreasing depending on people coming and going from 9:00 to around 21:00.

[0075] Fig. 6B is a characteristic diagram showing time-series changes in sensor data of the illuminance sensor according to Example 1 of the present invention. In Fig. 6B, the vertical axis represents illuminance, which indicates the value detected by the illuminance sensor, and the horizontal axis represents the time of day from midnight to midnight. The sensor data (illuminance) detected by the illuminance sensor installed in a certain room is 0 from midnight to just before 6:00, but gradually increases when a lighting fixture is switched on around 6:00, remains at a constant value thereafter, and then suddenly drops when the lighting fixture is switched off around 10:00 p.m.

[0076] Fig. 6C is a characteristic diagram showing time-series changes in sensor data from a temperature sensor according to Example 1 of the present invention. In Fig. 6C, the vertical axis represents temperature, which indicates the value detected by the temperature sensor, and the horizontal axis represents the time of day from midnight to midnight. The sensor data (temperature) detected by a temperature sensor installed in a certain room shows a characteristic of being approximately constant from midnight to around 6:00, but fluctuating slightly from just after 6:00 to around 22:00 depending on people entering and leaving the room.

[0077] Fig. 6D is a characteristic diagram showing time-series changes in sensor data from the humidity sensor according to Example 1 of the present invention. In Fig. 6D, the vertical axis represents humidity, which is the value detected by the humidity sensor, and the horizontal axis represents the time of day from midnight to midnight. The sensor data (humidity) detected by the humidity sensor installed in a certain room shows a substantially constant value from midnight to around 6:00, but shows a characteristic of increasing and decreasing depending on people entering and leaving the room from just after 6:00 to around 22:00.

[0078] Fig. 6E is a characteristic diagram showing time-series changes in sensor data of the CO2 concentration sensor according to Example 1 of the present invention. In Fig. 6E, the vertical axis represents CO2 concentration, which indicates the value detected by the CO2 concentration sensor, and the horizontal axis represents the time of day from midnight to midnight. The sensor data (CO2 concentration) detected by the CO2 concentration sensor installed in a certain room shows a substantially constant value from midnight to around 6:00, but shows a characteristic of increasing and decreasing depending on people entering and leaving the room from just after 6:00 to around 22:00.

[0079] Fig. 6F is a characteristics diagram showing time-series changes in sensor data from the odor sensor according to Example 1 of the present invention. In Fig. 6F, the vertical axis represents odor, which is the detected value of the odor sensor, and the horizontal axis represents the time of day from midnight to midnight. The sensor data (odor) detected by the odor sensor installed in a certain room shows a roughly constant value from midnight to around 6:00, but shows a characteristic of increasing and decreasing depending on people entering and leaving the room from just after 6:00 to around 22:00.

[0080] 7 is a configuration diagram showing an example of the configuration of a database of spatial evaluation indices according to the first embodiment of the present invention. In FIG. 7, the database 700 is assumed to be included in the data accumulation unit 101a of the building management server 101, but may also be included in the edge server 103.

[0081] The database 700 has the following items (columns): room 701, space type 702, liveliness 703, congestion 704, comfort 705, cleanliness 706, energy saving 707, and customer attraction 708. Of these items, the liveliness 703, congestion 704, comfort 705, cleanliness 706, energy saving 707, and customer attraction 708 are configured as space evaluation indices, which are indices for quantitatively evaluating the value of a space. These space evaluation indices are calculated by the space value evaluation unit 101b based on at least one of environmental information measured by the environmental sensor 105 and human information measured by the people flow sensor 106.

[0082] Information about the names of rooms in a building managed by the building management server 101 is recorded in the room 701. For example, "Room 1" is recorded as the room name of room 303, and "Room 2" is recorded as the room name of room 304. Information about the use and characteristics of the room is recorded in the space type 702; for example, if the room is used as an office, "office" is recorded. The information recorded in the space type 702 can be input from the building management server 101 when the environmental sensor 105 or people flow sensor 106 is installed, and can also be updated from the user terminal 107 via the building management server 101.

[0083] A space evaluation index that indicates the liveliness of a space is recorded as a numerical value in the liveliness level 703. In this case, if the amount of human conversation is considered to be the liveliness level, the average value and standard deviation per day of the noise (dB) measured by a microphone can be defined as the liveliness level.

[0084] Another measure of liveliness is that if the liveliness of a conference room is defined as the lively conversation in front of a whiteboard, the average and standard deviation of the noise (dB) measured by a sound level meter in front of the whiteboard during the meeting can be defined as the liveliness.

[0085] Another measure of liveliness is that if liveliness is defined as the amount of people walking around the room, such as going back and forth between seats and in front of the whiteboard, the amount of people moving around during the meeting measured by the people flow sensor 106 divided by the number of people in the room.

[0086] A space evaluation index that indicates the degree of congestion of a space is recorded as a numerical value in the congestion degree 704. In this case, if the ratio of the number of people staying per the capacity of the room is regarded as the degree of congestion, the average value per day of the ratio (%) obtained by dividing the number of people in the room measured by the people flow sensor 106 by the capacity of the room can be defined as the degree of liveliness.

[0087] A space evaluation index that indicates the comfort level of the space is recorded as a numerical value in the comfort level 705. In this case, if the average predicted thermal sensation vote PMV (Predicted Mean Vote) is considered as the comfort level, the average value of the PMV per day calculated from the outputs of the temperature sensor and humidity sensor can be defined as the comfort level.

[0088] Another example of comfort level is when the CO2 concentration in a conference room does not increase. If this is considered to be comfort level, the reciprocal of the value obtained by dividing the average and standard deviation of the CO2 concentration measured by the environmental sensor during the meeting by the average CO2 concentration measured when there is no one in the conference room can be defined as comfort level.

[0089] A space evaluation index that indicates the cleanliness of the space is recorded as a numerical value in cleanliness level 706. In this case, if the stability of the odor in the air is considered to be the cleanliness level, the average value per day of the reciprocal of the variance of the output of the odor sensor can be defined as the cleanliness level.

[0090] A space evaluation index that indicates the energy saving performance (energy saving efficiency) of the space is recorded as a numerical value in energy saving performance 707. In this case, if energy saving performance is considered to be when the lighting fixtures are turned off when no one is present in the room, energy saving performance can be defined as the percentage of time periods during a day when the output of the illuminance sensor shows a small value among time periods when the number of people in the room measured by the people flow sensor 106 is zero.

[0091] A space evaluation index that indicates the ability of a space to attract customers is recorded as a numerical value in customer attraction 708. In this case, if the number of times people enter and exit a room is considered to be the ability to attract customers, the sum of the number of people entering and leaving the room per day measured by people flow sensor 106 divided by the average number of people in the room per day can be defined as the ability to attract customers.

[0092] The space evaluation indexes corresponding to the lively degree 703 to the customer attraction 708 may be calculated by the space value evaluation unit 101b of the building management server 101, or the edge server 103 may calculate them and send the calculation results to the building management server 101. In this case, the space value evaluation unit 101b of the building management server 101 transmits information on the calculated space evaluation indexes (lively degree 703 to customer attraction 708) to each user terminal 107 via the network 102 and displays it on the display screen of each user terminal 107, thereby presenting the information on each space evaluation index (lively degree 703 to customer attraction 708) to each user. The display device of the user terminal 107 is configured as a display unit that displays the space evaluation indexes calculated by the space value evaluation unit 101b on the screen.

[0093] 8A is a configuration diagram showing an example of the configuration of the environmental sensor according to Example 1 of the present invention. In Fig. 8A, environmental sensor 105 includes, as sensor element 105a, any one of temperature sensor 105a1 for detecting temperature, humidity sensor 105a2 for detecting humidity, odor sensor 105a3 for detecting odor, CO2 concentration sensor 105a4 for detecting CO2 concentration, toxic gas concentration sensor 105a5 for detecting toxic gas concentration, suspended particle concentration sensor 105a6 for detecting suspended particle concentration, color sensor 105a7 for detecting color tone of a detection target, illuminance sensor 105a8 for detecting illuminance, sound level meter 105a9 for detecting noise, microphone 105a10 for detecting sound (voice), and vibration sensor 105a11 for detecting vibration.

[0094] The environmental sensor 105 includes a sensor element 105a, a microcontroller 105b, a communication module 105c, an ADC (Analog-Digital Converter) 105d, and a battery 105e. The environmental sensor 105 outputs air quality 108, a spatial environment 109, or an equipment status 110. The air quality 108 includes any one of humidity 108a, odor 108b, CO2 concentration 108c, toxic gas concentration 108d, and suspended particulate concentration 108e. The spatial environment 109 includes any one of temperature 109a, illuminance 109b, color 109c, sound 109d, and vibration 109e. The equipment status 110 includes any one of air conditioner status 110a, soundproofing equipment status 110b, and vibration control equipment status 110c.

[0095] Fig. 8B is a configuration diagram showing an example of the configuration of the people flow sensor according to Example 1 of the present invention. In Fig. 8B, the people flow sensor 106 includes, as a sensor element 106a, any one of a ToF (Time of Flight) camera 106a1, a LiDAR (Light Detection and Ranging) sensor 106a2, a human presence sensor 106a3, and an infrared sensor 106a4.

[0096] The people flow sensor 106 includes a sensor element 106a, a microcontroller 106b, a control PC 106c, a communication module 106d, and a battery 106e. The people flow sensor 106 outputs people flow information 111 or human activity information 112. The people flow information 111 includes one of people coordinates 111a, people movement lines 111b, number of people 111c, and people density 111d. People coordinates are coordinates (x, y) that indicate the position of a person on a map in space. People movement lines are trajectories or paths that indicate the movement of people in space. Number of people is the number of people present in a space. People density is the number of people present per unit area in a space. The human activity information 112 includes one of people distance 112a, people posture 112b, people movement 112c, human behavior 112d, and human momentum 112e. People distance is the distance a person moves in space. People posture is the way a person maintains their body in space. Human movement is the posture and behavior of a person in a space. Human behavior is the purposeful movement of a person in a space. Human momentum is a physical quantity that indicates the state of a person's movement in a space.

[0097] According to this embodiment, spatial performance based on the interaction between people and the space within a building can be quantified by a spatial evaluation index, and as a result, it becomes possible to compare the value of spaces such as shopping malls and office buildings using the spatial evaluation index. Also, according to this embodiment, the value of spaces such as shopping malls and office buildings can be visualized by displaying the value of the spaces using the spatial evaluation index. Furthermore, according to this embodiment, it is possible to set tenant rents for spaces such as shopping malls and office buildings according to the spatial evaluation index. Also, according to this embodiment, as environmental sensors and people flow sensors, each By preparing various sensors, it is possible to calculate each space evaluation index corresponding to the degree of activity 703 to the degree of customer attraction 708. [Example]

[0098] In Example 2, an environmental sensor and a people flow sensor are installed in a space within one of multiple buildings, and a second environmental sensor and a second people flow sensor are installed in a space within the other building; a spatial evaluation index (an index for evaluating spatial performance based on the interaction between people and the space within one of the buildings) is calculated based on the measurement values ​​of the environmental sensor and the measurement values ​​of the people flow sensor in the space within one of the buildings; a second spatial evaluation index (an index for evaluating second spatial performance based on the interaction between people and the space within the other building) is calculated based on the measurement values ​​of the second environmental sensor and the measurement values ​​of the second people flow sensor in the space within the other building; the calculated spatial evaluation index and the second spatial evaluation index are compared; and the comparison result is displayed on the user's user terminal.

[0099] Fig. 9 is a block diagram showing a schematic configuration example of a spatial value assessment system according to Example 2 of the present invention. In Fig. 9, the spatial value assessment system 2 includes an environmental sensor 105, a people flow sensor 106, and a spatial value assessment unit 101b, similar to Example 1, and further includes a second environmental sensor 2105, a second people flow sensor 2106, a second spatial value assessment unit 2101b, and a spatial evaluation index comparison unit 101d in Example 2.

[0100] The environmental sensor 105 transmits the measured environmental information to the spatial value evaluation unit 101b, and the people flow sensor 106 transmits the measured people flow information to the spatial value evaluation unit 101b. The spatial value evaluation unit 101b calculates a spatial evaluation index based on at least one of the environmental information and the people flow information, and transmits the calculated spatial evaluation index to the spatial evaluation index comparison unit 101d.

[0101] The second environmental sensor 2105 measures second environmental information in a second space within the building and transmits the measured second environmental information to the second space value assessment unit 2101b, and the second people flow sensor 2106 measures second people flow information indicating the flow of people or human activity in the second space within the building and transmits the measured second people flow information to the second space value assessment unit 2101b. The second space value assessment unit 2101b calculates a second space evaluation index based on at least one of the second environmental information and the second people flow information and transmits the calculated second space evaluation index to the space evaluation index comparison unit 101d. The space evaluation index comparison unit 101d compares the space evaluation index with the second space evaluation index and outputs the comparison result.

[0102] 10A is a block diagram showing an example of the overall configuration of a space value assessment system according to a second embodiment of the present invention. Here, a building is assumed as the space. There may be two buildings, or three or more buildings.

[0103] 10A, the components of the spatial value assessment system 2 are distributed among buildings A, B, and a central administration building CT. A plurality of environmental sensors 105, a plurality of people flow sensors 106, and a spatial value assessment unit 101b are disposed in the space within building A. A plurality of second environmental sensors 2105, a plurality of second people flow sensors 2106, and a second spatial value assessment unit 2101b are disposed in the second space within building B. A spatial assessment index comparison unit 101d that transmits and receives information to and from a user terminal 107 is disposed in the central administration building CT.

[0104] Each environmental sensor 105 in building A transmits the measured environmental information to the spatial value evaluation unit 101b. Each people flow sensor 106 in building A transmits the measured people flow information to the spatial value evaluation unit 101b. The spatial value evaluation unit 101b in building A calculates a spatial evaluation index based on each environmental information and each people flow information, and transmits the calculated spatial evaluation index to the spatial evaluation index comparison unit 101d. For example, the spatial value evaluation unit 101b in building A calculates numerical values ​​for each of the spatial evaluation indexes for building A: "liveliness," "crowding," "comfort," "cleanliness," "energy efficiency," and "attraction," and transmits information on the calculated spatial evaluation index to the spatial evaluation index comparison unit 101d.

[0105] Each second environmental sensor 2105 in building B transmits the measured second environmental information to the second space value assessment unit 2101b. Each second people flow sensor 2106 in building B transmits the measured second people flow information to the second space value assessment unit 2101b. The second space value assessment unit 2101b calculates a second space evaluation index based on each second environmental information and each second people flow information, and transmits the calculated second space evaluation index to the space evaluation index comparison unit 101d. For example, the second space value assessment unit 2101b in building B calculates the second space evaluation indexes for building B, such as "liveliness," "crowding," "comfort," "cleanliness," "energy efficiency," and "attraction," as numerical values, and transmits information on each calculated second space evaluation index to the space evaluation index comparison unit 101d.

[0106] The space evaluation index comparison unit 101d compares the space evaluation index from the space value evaluation unit 101b with the second space evaluation index from the second space value evaluation unit 2101b, transmits the comparison result to the user terminal 107, and displays the comparison result on the screen of the display device of the user terminal 107 to present to the user. For example, the space evaluation index comparison unit 101d compares one of the space evaluation indexes ("livelyness," "crowdedness," "comfort," "cleanliness," "energy saving," and "attraction") in building A with one of the second space evaluation indexes ("livelyness," "crowdedness," "comfort," "cleanliness," "energy saving," and "attraction") in building B, and transmits each comparison result to the user terminal 107.

[0107] In this case, a user operating user terminal 107 can compare the value of the space in building A with the value of the space in building B, or evaluate the value of the space in building A with the value of the space in building B, by comparing a space evaluation index in building A, for example, the bustlingness level, with a second space evaluation index in building B, for example, the bustlingness level. The display device of user terminal 107 is configured as a display unit that displays the comparison results output by space evaluation index comparison unit 101d on the screen. Furthermore, instead of arranging the multiple second environmental sensors 2105, the multiple second people flow sensors 2106, and the second space value evaluation unit 2101b in the second space in building B (second building), they can also be arranged in the second space in building A (a space different from the space in which the multiple environmental sensors 105 and the multiple people flow sensors 106 are arranged).

[0108] Fig. 10B is a block diagram showing another example of the overall configuration of a space value assessment system according to Example 2 of the present invention. In Fig. 10B, a space value assessment system 2 is configured such that a space evaluation index accumulation unit 101c is arranged in addition to a space evaluation index comparison unit 101d in a central management building CT, and other configurations are the same as those of the space value assessment system 2 in Fig. 10A.

[0109] The space evaluation index accumulation unit 101c accumulates information on the space evaluation indexes for building A calculated by the space value assessment unit 101b ("lively," "crowded," "comfortable," "cleanliness," "energy saving," and "attraction"), and information on the second space evaluation indexes for building B calculated by the second space value assessment unit 2101b ("lively," "crowded," "comfortable," "cleanliness," "energy saving," and "attraction") in sequence in chronological order, each associated with a calculation time. At this time, the space evaluation index comparison unit 101d can compare the space evaluation indexes and second space evaluation indexes accumulated in the space evaluation index accumulation unit 101c that have been calculated at the same time, or can compare the space evaluation indexes and second space evaluation indexes that have been calculated at different times. For example, the space evaluation index comparison unit 101d can refer to the information accumulated in the space evaluation index accumulation unit 101c, compare the most recently calculated space evaluation index with a second space evaluation index calculated earlier than the most recently calculated index, and transmit the comparison result to the user terminal 107, or compare a past space evaluation index with the most recent second space evaluation index and transmit the comparison result to the user terminal 107, or compare a past space evaluation index with a past second space evaluation index and transmit the comparison result to the user terminal 107. In this case, the value of the space in building A and the value of the space in building B can be evaluated at the same calculation time or at different calculation times. Furthermore, each comparison result can be visualized by displaying each comparison result on the screen of the display device of the user terminal 107.

[0110] Fig. 11 is a diagram showing an example of a screen for presenting the evaluation result of the spatial performance to the user according to the second embodiment of the present invention. In Fig. 11, a screen 1100 is assumed to be viewed by the owner of the property on the user terminal 107. In this case, the owner Himself The user can check the appraisal results of the real estate he / she owns on the screen 1100 of the user terminal 107.

[0111] The screen 1100 of the user terminal 107 is the screen of the display device of the user terminal 107, and includes an owner name display area 1101, a real estate selection menu 1102, a space selection menu 1103, a space type display area 1104, a comparison type selection button 1105, a comparison area selection button 1106, a space evaluation chart 1107, and an improvement suggestion area 1108.

[0112] When the owner logs in to the system after authenticating with an ID and password, etc., the owner's name is displayed in the owner name display area 1101 of the screen 1100. A property selection menu 1102 displays a list of properties owned by the owner and registered in the system as a pull-down menu. The owner can select any menu from the list of properties displayed in the property selection menu 1102. A space selection menu 1103 displays a list of spaces registered in the menu (real estate) selected in the property selection menu 1102 as a pull-down menu. The owner can select any menu from the list of spaces displayed in the space selection menu 1103. A space type display area 1104 displays, for example, "office" as the space type 702 registered for the space selected in the space selection menu 1103. Comparison type selection buttons 1105 display the following: "office," "conference room," "cafeteria," "lounge," "entrance," and "smoking room." The owner selects the space type they want to compare with the space selected in the space selection menu 1103 from these comparison type selection buttons 1105. In this example, the space type displayed in the space type display area 1104 (the space type of "Room 1" corresponding to room 303) is "office," so "office" is selected by default as the comparison type selection button 1105.

[0113] "Asia," "Europe," "North America," and "Africa" ​​are displayed as comparison area selection buttons 1106. The owner selects from these comparison area selection buttons 1106 the spatial area that he or she wishes to compare with the space selected in the space selection menu 1103. In this example, "Europe" and "North America" ​​are selected as the comparison area selection buttons 1106.

[0114] Space evaluation indices such as "liveliness," "crowding," "comfort," "cleanliness," "energy efficiency," and "attraction" are displayed at approximately equal intervals in a ring around the space evaluation chart 1107. The space evaluation chart 1107 displays values ​​1107A of each space evaluation index for the space selected in the space selection menu 1103, for example, "Room 1."

[0115] In addition, other spaces that have the office space type 702 selected with the comparison type selection button 1105 are tallied, and the average value for offices is displayed as industry average 1107B, and the highest value for offices is displayed as highest level 1107C. By checking the values ​​of each space evaluation index displayed on the space evaluation chart 1107, the owner can evaluate the performance of the space they own from multiple perspectives.

[0116] If the owner considers changing the use of "Room 1" from an "office" to a "lounge," he or she can select "lounge" using the comparison type selection button 1105. In this case, the industry average and the highest standard for "lounge" are displayed on the space evaluation chart 1107. This system enables the owner to consider whether the space can be used more effectively by using "Room 1" for a different purpose.

[0117] The improvement suggestion area 1108 automatically displays elements for improvement in the space based on the results of the space evaluation chart 1106. For example, if "Room 1" is below the industry average in terms of cleanliness, a message urging improvement to the cleanliness level, "It would be good to improve the cleanliness level," is displayed.

[0118] According to this embodiment, it is possible to achieve the same effect as in the first embodiment, and also to compare the value of the space in building A with the value of the space in building B. Furthermore, according to this embodiment, it is possible to visualize the improvement effect of the office space. Furthermore, according to this embodiment, by displaying the comparison result between the value of the space in building A and the value of the space in building B on a screen, it is possible to visualize the comparison result between the value of the space in building A and the value of the space in building B. [Example]

[0119] In Example 3, the energy efficiency of a building space is evaluated based on the measurement values ​​of a wattmeter that measures the power of the air conditioning equipment that controls the air conditioning in the building space and the measurement values ​​of each environmental sensor that measures the temperature inside and outside the building space.In this case, the energy efficiency is understood as the extent to which the air conditioning equipment has been able to improve human work performance per unit of power consumption.

[0120] FIG. 12 is an explanatory diagram illustrating the energy-saving performance of a space value assessment system according to a third embodiment of the present invention. In FIG. 12, a building 30 includes an entrance 31, a machine room 32, and an office 33. A distribution board 34 is installed in the machine room 32, and an air conditioning system (air conditioner) 35 is installed in the office 33. An environmental sensor 105e that detects the outside air temperature is installed outside the entrance 31. An environmental sensor 105g that serves as a wattmeter that measures power is installed in the distribution board 34. An environmental sensor 105d that detects the room temperature is installed in the office 33. An environmental sensor 105f that serves as a wattmeter that measures power is installed in the air conditioner 35.

[0121] The difference between the outdoor temperature detected by the environmental sensor 105e and the indoor temperature detected by the environmental sensor 105d can be interpreted as the effect obtained by operating the air conditioning equipment (air conditioner) 35. In this case, the power consumption of the air conditioning equipment (air conditioner) 35 can be measured by the environmental sensor 105f. Note that, as a power meter, for example, a watt checker that is attached to an outlet and measures the power consumption of an electrical appliance can be used. As another method for measuring the power consumption of the air conditioning equipment (air conditioner) 35, an environmental sensor 105g that is attached to the distribution board 34 can be used. In this case, the power meter can be, for example, a clamp-type current sensor or clamp-type voltmeter that measures the current flowing through a cable. Other power meters include a breaker with a power measurement function and a smart meter.

[0122] 13A is a temperature characteristic diagram for explaining time-series changes in energy saving performance in the space value assessment system according to Example 3 of the present invention. Here, the measurement location is assumed to be an office, for example, the office room 33 shown in FIG.

[0123] 13A, the vertical axis represents the temperature detected by environmental sensor 105, and the horizontal axis represents the time of day. An outdoor temperature curve 1301, which is a measurement value of environmental sensor 105, exhibits characteristics that change according to the outdoor temperature. In contrast, an indoor temperature curve 1302, which is a measurement value of environmental sensor 105, exhibits characteristics that vary slightly higher than outdoor temperature curve 1301 from midnight to approximately 7:00, and is maintained at approximately 26°C from 8:00 to approximately 19:00 by operation of air conditioning equipment 35.

[0124] 13B is a work performance characteristic diagram for explaining time-series changes in energy saving performance in the space value assessment system according to Example 3 of the present invention. Here, the measurement location is assumed to be an office, for example, the office room 33 shown in FIG.

[0125] In FIG. 13B, the vertical axis represents work performance, and the horizontal axis represents the time of day. Here, work performance is defined assuming that a person's work efficiency depends on temperature. It is assumed that work performance is 100% when the temperature is 26°C and 20% when the temperature is 33°C. Work performance curve 1303 for the outdoor environment changes with changes in the outdoor temperature (the temperature indicated by outdoor temperature curve 1301 in FIG. 13A ), exhibiting a characteristic of decreasing as the outdoor temperature increases. Work performance curve 1304 for the indoor environment changes with changes in the indoor temperature (the temperature indicated by indoor temperature curve 1302 in FIG. 13A ), exhibiting a characteristic of reaching 100% when the indoor temperature is maintained constant. According to work performance calculated from temperature, work performance is better in the indoor environment than in the outdoor environment between 8:00 and 20:00. The improvement in work performance (indicated by arrow 1305) can be considered as the performance efficiency improved by operating air conditioning equipment 35 shown in FIG. 12.

[0126] 13C is an indoor occupancy characteristic diagram for explaining time-series changes in energy saving performance in the space value assessment system according to Example 3 of the present invention. Here, the measurement location is assumed to be an office, for example, the office room 33 shown in FIG.

[0127] 13C, the vertical axis represents the number of people in the room measured by people flow sensor 106, and the horizontal axis represents the time of day. Indoor number of people curve 1306 shows a characteristic in which the number of people increases as employees start coming to work around 7:00, peaks around 12:00, and then decreases as employees start leaving work around 17:00.

[0128] 13D is an air conditioning power consumption characteristic diagram for explaining time-series changes in energy saving performance in the space value assessment system according to Example 3 of the present invention. Here, a power meter that measures the power consumption of the air conditioning equipment 35 is used as the environment sensor 105. The measurement location is assumed to be an office, for example, the office room 33 shown in FIG. 12.

[0129] 13D, the vertical axis represents the power consumption of air conditioning equipment 35 measured by a power meter, and the horizontal axis represents the time of day. Air conditioning power consumption curve 1307 shows a characteristic in which the power gradually increases as air conditioning equipment 35 starts operating from around 7:00, and then reaches a nearly maximum from 8:00 to 19:00 in order to maintain a constant indoor temperature (the temperature shown by indoor temperature curve 1302 in FIG. 13A).

[0130] 13E is an energy saving characteristic diagram for explaining time series changes in energy saving in the space value assessment system according to Example 3 of the present invention. Here, a wattmeter that measures the power consumption of air conditioning equipment 35 is used as the environment sensor 105. The measurement location is assumed to be an office, for example, the office room 33 shown in FIG. 12.

[0131] 13E, the vertical axis represents energy efficiency and the horizontal axis represents time of day. Energy efficiency curve 1308 shows that as the number of people in the room gradually increases from around 7:00, the energy efficiency gradually increases in accordance with the gradual increase in power consumption of air conditioning equipment 35, reaches a maximum around 12:00, and then changes depending on the increase or decrease in the number of people in the room.

[0132] Energy saving is the improvement in work performance per unit of power consumption due to the air conditioning equipment 35, and is calculated using the following formula.

[0133] Energy efficiency = (Work performance in indoor environment - Work performance in outdoor environment) × Number of people in the room / Air conditioning power consumption (1)

[0134] According to the calculation of the above formula (1), at around 8:00, the power consumption of the air conditioning equipment 35 is large, but the number of people in the room is small, so the improvement in work performance due to the air conditioning equipment 35 is small, and it can be seen that energy saving is low. On the other hand, at around 12:00, the power consumption of the air conditioning equipment 35 is large, but the number of people in the room is also large, so energy saving is high, and it can be seen that the air conditioning equipment 35 has achieved a significant improvement in work performance.

[0135] In this embodiment, the environmental sensors 105 include a room temperature sensor that measures the room temperature inside the space (inside the office), an outdoor temperature sensor that measures the outdoor temperature outside the space (outside the office), and a wattmeter that measures the power consumption of air conditioning equipment installed in the space, and the people flow sensor 106 includes a human presence sensor that measures the indoor number of people, which indicates the number of people present in the space. In this case, the space value assessment unit 101b calculates, among the work performance in the space defined on the premise that people's work efficiency in the space depends on temperature, the work performance in the indoor environment based on the room temperature measured by the room temperature sensor and the work performance in the outdoor environment based on the outdoor temperature measured by the outdoor temperature sensor, multiplies the difference between the calculated work performance in the indoor environment and the work performance in the outdoor environment by the indoor number of people measured by the human presence sensor, divides the value obtained by this multiplication by the power consumption measured by the wattmeter, and calculates the value obtained by this division as a value belonging to the space assessment index and energy saving that indicates the amount of improvement in work performance per unit of power consumption by the air conditioning equipment.

[0136] According to this embodiment, the energy saving performance of the building space can be evaluated based on the measurement values ​​of the power meter that measures the power consumption of the air conditioning equipment and the measurement values ​​of each environmental sensor that measures the temperature inside and outside the building space. [Example]

[0137] Example 4 evaluates the stability of the air in a space based on the measurement values ​​of an environmental sensor installed in the space of a building.

[0138] 14 is a distribution diagram of air stability in a space applied to a space value assessment system according to Example 4 of the present invention. Here, air stability is defined as the inverse of the variance of temperature, humidity, or odor.

[0139] 14, floor 300 in the building space includes corridor entrance / exit 301, corridor 302, and rooms 303 and 304, and multiple environmental sensors 105 are installed in each of corridor 302 and rooms 303 and 304. Heat map M for floor 300 is a heat map that indicates the stability of the air, generated based on the temperatures measured by each environmental sensor 105. In this heat map M, darker colors indicate lower stability, i.e., more drastic temperature changes.

[0140] For example, in room 304, area A1, which is surrounded by two windows 305 and where environmental sensor 105a is installed, exhibits the most drastic temperature changes and the lowest air stability. Areas A2, A3, and A7, where environmental sensors 105b, 105c, and 105g are installed, exhibit the second-highest temperature changes. Area A4, where environmental sensor 105d is installed, exhibits the third-highest temperature changes. Area A9, where environmental sensor 105i is installed, exhibits the fourth-highest temperature changes. Meanwhile, areas A5, A6, and A8, where environmental sensors 105e, 105f, and 105h are installed, exhibit the least drastic temperature changes and have the highest air stability. In other words, generating a heat map M showing air stability reveals variations in air stability even within the same room. Therefore, a heat map M showing air stability can visualize inequalities among office seats and suggest the introduction of new air conditioning assets to eliminate stagnant air.

[0141] In this embodiment, the environmental sensor 105 comprises a temperature sensor that measures the temperature of the space, a humidity sensor that measures the humidity of the space, and an odor sensor that measures the odor of the space, and the space value evaluation unit 101b sequentially takes in the measured values ​​of the temperature sensor, humidity sensor, and odor sensor, and calculates the inverse of the variance of the temperature measured by the temperature sensor as a value belonging to the space evaluation index and indicating the stability of the air in the space, provided that the temperature measured by the temperature sensor, the humidity measured by the humidity sensor, and the odor measured by the odor sensor do not change over time.

[0142] FIG. 15 is a characteristic diagram showing time-series changes in temperature at measurement points employed in the spatial value assessment system according to Example 4 of the present invention. In FIG. 15, the vertical axis represents the temperature measured by the environmental sensor 105, and the horizontal axis represents the time from 8:00 to 18:00. Curve 1501 represents time-series changes in temperature measured by the environmental sensor 105 located in the center of the room, while curve 1502 represents time-series changes in temperature measured by the environmental sensor 105 located in an area where the air stability differs from that in the center of the room, such as near a window. Curve 1501 in the center of the room exhibits a stable characteristic around 26°C, while curve 1502 in the area near the window exhibits a characteristic that fluctuates depending on the time of day. This is because, when the window is open, outside air temperature flows in, and the indoor temperature may not be able to be maintained at the set temperature by operating the air conditioning equipment alone. The spatial value assessment system can quantify such differences in air stability based on the values ​​of curves 1501 and 1502.

[0143] According to this embodiment, the stability of the air in a space can be evaluated based on the measurement values ​​of the environmental sensors installed in the space of a building.

[0144] It should be noted that the present invention is not limited to the above-described embodiments, and includes various modifications and equivalent configurations within the spirit and scope of the appended claims. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to those having all of the described configurations.

[0145] Furthermore, each of the above-mentioned configurations, functions, etc. may be realized in hardware, for example, by designing some or all of them as integrated circuits, or may be realized in software, by a processor interpreting and executing a program that realizes each function.

[0146] Information such as programs, tables, and files that realize each function can be stored in storage devices such as memory, hard disks, and SSDs (Solid State Drives), or on recording media such as IC (Integrated Circuit) cards, SD (Secure Digital) cards, and DVDs (Digital Versatile Discs). [Explanation of symbols]

[0147] 1 Space value evaluation system, 101 building management server, 101a data storage unit, 101b space value evaluation unit, 101c space evaluation index storage unit, 101d space evaluation index comparison unit, 102 network, 103 edge server, 104 local network, 105 environmental sensor, 106 people flow sensor, 107 user terminal

Claims

1. an environmental sensor that measures environmental information in the space within the building; A people flow sensor that measures people information indicating people flow or human activity in the space; a space value evaluation unit that calculates a space evaluation index that evaluates space performance indicating an interaction between the space and people based on at least one of the environmental information measured by the environmental sensor and the people information measured by the people flow sensor; and Equipped with The environmental sensors include a room temperature sensor that measures the room temperature inside the space, an outside air temperature sensor that measures the outside air temperature outside the space, and a power meter that measures the power consumption of air conditioning equipment installed in the space, The people flow sensor includes a human presence sensor that measures the number of people present in the space, The space value assessment unit A space value assessment system characterized by: calculating, of the work performance in the space defined on the premise that human work efficiency in the space depends on temperature, work performance in an indoor environment based on the room temperature measured by the room temperature sensor; calculating work performance in an outdoor environment based on the outdoor temperature measured by the outdoor temperature sensor; multiplying the difference between the calculated work performance in the indoor environment and the work performance in the outdoor environment by the number of people in the room measured by the human presence sensor; dividing the value obtained by this multiplication by the power consumption measured by the wattmeter; and calculating the value obtained by this division as energy saving, a value belonging to the space assessment index and indicating the amount of improvement in work performance per unit of power consumption of the air conditioning equipment.

2. The space value assessment system according to claim 1, the environmental information measured by the environmental sensor is information indicating at least one of air quality of the space, a spatial environment of the space, or a state of equipment installed in the space, the air quality of the space is at least one of humidity in the space, odor in the space, CO2 concentration in the space, toxic gas concentration in the space, or suspended particulate concentration in the space; the spatial environment of the space is at least one of a temperature in the space, an illuminance in the space, a color tone in the space, a sound in the space, or a vibration in the space; the state of the equipment installed in the space is at least one of a state of an air conditioning device installed in the space, a state of a soundproofing device installed in the space, or a state of a vibration control device installed in the space; The people flow in the space is at least one of people coordinates in the space, people movement lines in the space, the number of people in the space, or people density in the space, A space value assessment system characterized in that the human activity in the space is at least one of human distance in the space, human posture in the space, human movement in the space, human behavior in the space, or human momentum in the space.

3. An environmental sensor that measures environmental information in a space within a building; A people flow sensor that measures people information indicating people flow or human activity in the space; a space value evaluation unit that calculates a space evaluation index that evaluates space performance indicating an interaction between the space and people based on at least one of the environmental information measured by the environmental sensor and the people information measured by the people flow sensor; and Equipped with The environmental sensors include a temperature sensor that measures the temperature of the space, a humidity sensor that measures the humidity of the space, and an odor sensor that measures the odor of the space, The space value assessment unit A spatial value evaluation system characterized by sequentially capturing the measurement values ​​of the temperature sensor, the humidity sensor, and the odor sensor, and calculating at least one of the inverse of the temperature variance measured by the temperature sensor, the inverse of the humidity variance measured by the humidity sensor, or the inverse of the odor variance measured by the odor sensor as a value belonging to the spatial evaluation index and indicating the stability of the air in the space.

4. A space value assessment system according to claim 3, the environmental information measured by the environmental sensor is information indicating at least one of air quality of the space, a spatial environment of the space, or a state of equipment installed in the space, the air quality of the space is at least one of humidity in the space, odor in the space, CO2 concentration in the space, toxic gas concentration in the space, or suspended particulate concentration in the space; the spatial environment of the space is at least one of a temperature in the space, an illuminance in the space, a color tone in the space, a sound in the space, or a vibration in the space; the state of the equipment installed in the space is at least one of a state of an air conditioning device installed in the space, a state of a soundproofing device installed in the space, or a state of a vibration control device installed in the space; The people flow in the space is at least one of people coordinates in the space, people movement lines in the space, the number of people in the space, or people density in the space, A space value assessment system characterized in that the human activity in the space is at least one of human distance in the space, human posture in the space, human movement in the space, human behavior in the space, or human momentum in the space.

5. 1. A method in a system including a plurality of sensors and a computer processing an output of each of the plurality of sensors, comprising: an environmental measurement step in which an environmental sensor among the plurality of sensors measures environmental information in a space within the building; a people flow measurement step in which a people flow sensor among the plurality of sensors measures people information indicating people flow or human activity in the space; a space value evaluation step in which the computer calculates a space evaluation index that evaluates space performance indicating an interaction between the space and people based on at least one of the environmental information measured in the environment measurement step and the people information measured in the people flow measurement step; and Equipped with the plurality of sensors include a room temperature sensor that measures the room temperature inside the space, an outside air temperature sensor that measures the outside air temperature outside the space, a power meter that measures the power consumption of an air conditioning device installed in the space, and a human presence sensor that measures the indoor occupancy count that indicates the number of people present in the space; The computer In the space value evaluation step, of the work performance in the space defined on the premise that human work efficiency in the space depends on temperature, work performance in an indoor environment is calculated based on the room temperature measured by the room temperature sensor, and work performance in an outdoor environment is calculated based on the outdoor temperature measured by the outdoor temperature sensor, the difference between the calculated work performance in the indoor environment and the work performance in the outdoor environment is multiplied by the number of people in the room measured by the human presence sensor, the value obtained by this multiplication is divided by the power consumption measured by the wattmeter, and the value obtained by this division is calculated as energy saving, which is a value belonging to the space evaluation index and indicates the amount of improvement in work performance per power consumption of the air conditioning equipment.

6. The space value assessment method according to claim 5, the environmental information measured by the environmental sensor is information indicating at least one of air quality of the space, a spatial environment of the space, or a state of equipment installed in the space, the air quality of the space is at least one of humidity in the space, odor in the space, CO2 concentration in the space, toxic gas concentration in the space, or suspended particulate concentration in the space; the spatial environment of the space is at least one of a temperature in the space, an illuminance in the space, a color tone in the space, a sound in the space, or a vibration in the space; the state of the equipment installed in the space is at least one of a state of an air conditioning device installed in the space, a state of a soundproofing device installed in the space, or a state of a vibration control device installed in the space; The people flow in the space is at least one of people coordinates in the space, people movement lines in the space, the number of people in the space, or people density in the space, A space value evaluation method characterized in that the human activity in the space is at least one of human distance in the space, human posture in the space, human movement in the space, human behavior in the space, or human movement amount in the space.

7. A method in a system including a plurality of sensors and a computer that processes the output of each of the plurality of sensors, comprising: an environmental measurement step in which an environmental sensor among the plurality of sensors measures environmental information in a space within the building; a people flow measurement step in which a people flow sensor among the plurality of sensors measures people information indicating people flow or human activity in the space; a space value evaluation step in which the computer calculates a space evaluation index that evaluates space performance indicating an interaction between the space and people based on at least one of the environmental information measured in the environment measurement step and the people information measured in the people flow measurement step; and Equipped with the plurality of sensors include a temperature sensor that measures a temperature of the space, a humidity sensor that measures humidity of the space, and an odor sensor that measures an odor of the space, The computer In the space value evaluation step, the measurement values ​​of the temperature sensor, the humidity sensor, and the odor sensor are sequentially taken in, and at least one of the inverse of the temperature variance measured by the temperature sensor, the inverse of the humidity variance measured by the humidity sensor, or the inverse of the odor variance measured by the odor sensor is calculated as a value belonging to the space evaluation index and indicating the stability of the air in the space.

8. A spatial value assessment method according to claim 7, the environmental information measured by the environmental sensor is information indicating at least one of air quality of the space, a spatial environment of the space, or a state of equipment installed in the space, the air quality of the space is at least one of humidity in the space, odor in the space, CO2 concentration in the space, toxic gas concentration in the space, or suspended particulate concentration in the space; the spatial environment of the space is at least one of a temperature in the space, an illuminance in the space, a color tone in the space, a sound in the space, or a vibration in the space; the state of the equipment installed in the space is at least one of a state of an air conditioning device installed in the space, a state of a soundproofing device installed in the space, or a state of a vibration control device installed in the space; The people flow in the space is at least one of people coordinates in the space, people movement lines in the space, the number of people in the space, or people density in the space, A space value evaluation method characterized in that the human activity in the space is at least one of human distance in the space, human posture in the space, human movement in the space, human behavior in the space, or human movement amount in the space.

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