Sound analysis apparatus and sound analysis method

Abstract

To provide a technique for allowing each of users of multiple dwelling house to properly recognize influence of their everyday sounds and assisting actions of users to suppress the everyday sounds.SOLUTION: A sound analysis apparatus 10 includes: a measurement unit 11 which measures sounds generated in each of a plurality of living spaces included in a multiple dwelling house; a storage unit 13 which stores information on sounds generated in a first living space of the multiple living spaces; a specifying unit 14 which specifies, when a user in the first living space performs a predetermined action with respect to sound generated in a second living space other than the first living space, information on the sounds generated in the first living space, using the storage unit 13, according to a result of measuring the sounds generated in the second living space; and a reporting unit 15 which reports the specified information to the user of the first living space.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a sound analysis device and a sound analysis method, and more particularly to a sound analysis device and a sound analysis method that can ensure the recognition of the living sounds of oneself and others by each user in an apartment house, and thereby support the maintenance of good habitability of the apartment house.

Background Art

[0002] In an apartment house where one building is divided and used by many users, there are often cases where the number of residents, age composition, lifestyle, etc. are different in each household. In that case, differences in the usage awareness and behavior patterns of the households are likely to occur among the users. Such differences may lead to various situations where the volume and timing of the living sounds generated in each household are also different.

[0003] The louder the living sound generated in an apartment house and the more the generation timing is in a quiet time zone, the more annoying it is. Therefore, depending on the duration and repetition interval, there is also a risk of leading to intolerable discomfort. Therefore, techniques for effectively suppressing living sounds have been conventionally studied.

[0004] As an example of such a conventional technique, for example, there is a technique (see Patent Document 1) for appropriately managing noise in an apartment house as compared with a case where noise is not managed in each of a plurality of units of the apartment house. This technique relates to a system having a measuring means for measuring the noise of each of a plurality of units constituting the apartment house, and a management means for acquiring information corresponding to the noise of each of the plurality of units measured by the measuring means from the measuring means and managing the noise using an allowable value that can be made different for each of the individual units.

[0005] In addition to the above technologies, there has also been proposed a technology for providing a noise prevention alert (see Patent Document 2) that can immediately and easily eliminate noise troubles for users and improve the future living environment for management companies. This technology is a management server connected to a user terminal and a management company terminal via a network, and acquires and stores user information including measurement data from the user terminal connected to a measurement device having a room sound measurement unit, a ceiling sound measurement unit, a human presence sensor unit, and a communication unit, extracts room sound data and ceiling sound data included in the measurement data, and generates an analysis result based on the difference data between the room sound data and the ceiling sound data and the presence or absence of a person detected by the human presence sensor. When the difference between the average values of the room sound data and the ceiling sound data within a predetermined time period is greater than a first reference value, the number of times the difference in the average values exceeds the first reference value is equal to or greater than a predetermined number of times, and the difference between the maximum values of the room sound data and the ceiling sound data is greater than a second reference value, an alert generation unit generates an alert based on the extracted analysis result, and when the alert generation unit generates the alert, an alert providing unit provides the generated alert to user terminals owned by other users.

Prior Art Documents

Patent Documents

[0006]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0007] According to the prior art, it is possible to warn users of households that emit loud living sounds and admonish them to suppress the generation of living sounds. However, it is not possible to specifically make them aware of how loud the generated living sound is and how much of an impact it can have on users of other households.

[0008] Since living sounds occur very naturally in daily life, they are not special to the users of the households where the sound sources are located, nor are they recognized as particularly loud. Therefore, while the living sounds one generates oneself hardly register in one's consciousness, there is a situation where living sounds generated in other households are unpleasant enough to warrant consideration of suppression measures.

[0009] Applying the prior art to such a situation, although users of apartment buildings can become aware of the occurrence of loud living sounds in their own households, the basic situation where they unilaterally feel discomfort from living sounds in other households remains unchanged. Therefore, the users do not think about how the living sounds they generate affect the surrounding households and hardly have the opportunity to change their behavior to suppress living sounds. In that case, it may be difficult to maintain good habitability in the apartment building.

[0010] Therefore, the present invention has been made in view of the above problems, and its object is to provide an apparatus and method that enable each user of an apartment building to accurately recognize the influence of their own and others' living sounds, and thus support the behavior of suppressing living sounds in the users.

Means for Solving the Problems

[0011] The above problems are solved by configuring the sound analysis apparatus of the present invention to include a measurement unit that measures sounds generated in each of a plurality of living spaces included in an apartment building, a storage unit that stores information regarding the generated sounds in a first living space among the plurality of living spaces, and a specifying unit that, for the generated sounds in a second living space other than the first living space among the plurality of living spaces, specifies, in the storage unit, information regarding the generated sounds in the first living space according to the result of measuring the generated sounds in the second living space when a user of the first living space performs a predetermined action, and a reporting unit that reports the specified information regarding the generated sounds to the user of the first living space. According to the sound analysis device of the present invention configured as described above, each user of the apartment house can accurately recognize the influence of the living sounds of others and himself / herself, and thus can support the user's behavior of suppressing living sounds.

[0012] Further, in the above sound analysis device, the storage unit stores the correspondence relationship between the event that occurred in the first living space and the measured value of the magnitude of the generated sound due to the event, and the specifying unit, as information on the generated sound in the first living space corresponding to the result of the measurement of the generated sound in the second living space, specifies the event corresponding to the generated sound in the second living space based on the measured value of the magnitude of the generated sound in the second living space and the correspondence relationship, and it is preferable that the reporting unit reports the information on the specified event to the user of the first living space. According to the above configuration, it is possible to make the user of the living space recognize an event that is an event corresponding to the magnitude of the generated sound (living sound) in another living space and that has previously generated a living sound of the same magnitude in his / her own living space (for example, using a vacuum cleaner or a washing machine). In such a user, it becomes possible to clearly know the fact that he / she has also made a sound of the same magnitude as the loud living sound of others that he / she feels uncomfortable with, and the possibility of changing his / her behavior to suppress the generation of living sounds in his / her own living space increases. As a result, each user of the apartment house can more accurately recognize the influence of the living sounds of others and himself / herself, and thus can support the user's behavior of suppressing living sounds.

[0013] Further, in the above sound analysis device, it is preferable that the measurement unit acquires the measured value of the magnitude of the generated sound (living sound) in each living space from a sensor installed in each living space and measuring the magnitude of the sound. According to the above configuration, since it is possible to accurately measure the magnitude of the living sound in each living space, the accuracy of the information on the living sound in the first living space reported to the user of the first living space also increases. As a result, each user of the apartment house can more accurately recognize the influence of the living sounds of others and himself / herself, and thus can support the user's behavior of suppressing living sounds.

[0014] In addition, in the above sound analysis device, a determination unit is further provided which acquires observation values of events occurring in each living space from sensors installed in each living space and observing the events occurring in each living space, and determines the events occurring in the living space by applying the observation values to a predetermined event determination model. The storage unit preferably stores the correspondence relationship by associating the events determined for each living space by the determination unit with the measurement values of the generated sounds (living sounds) caused by the events in the respective living spaces. According to the above configuration, for example, it is possible to efficiently collect and hold in advance information on the correspondence relationship between events such as the use of living equipment that can occur at various times in a living space and the living sounds that can occur in the event, without omission. By using this correspondence relationship information, it becomes easier to specify with good accuracy the information on the living sounds in the first living space to be reported to the user of the first living space. As a result, each user of the apartment building can more accurately recognize the influence of the living sounds of themselves and others, and thus it becomes possible to support the behavior of suppressing the living sounds of the users.

[0015] In addition, in the above sound analysis device, when the user of the first living space performs a predetermined action with respect to the generated sounds (living sounds) in each of the plurality of second living spaces, the specifying unit specifies the one with the largest generated sound (living sound) among the plurality of second living spaces as the third living space, and it is preferable that the storage unit specifies information regarding the measurement value of the generated sound (living sound) in the first living space according to the measurement value of the generated sound (living sound) in the third living space. According to the above configuration, even in a situation where living sounds are generated from a plurality of sound sources simultaneously, it is possible to use, for specifying the information on the generated sound (living sound) in the first living space, the one that is considered to have the greatest influence on the user of the first living space among those living sounds. As a result, each user of the apartment building can more accurately recognize the influence of the living sounds of themselves and others, and thus it becomes possible to support the behavior of suppressing the living sounds of the users.

[0016] Further, according to the sound analysis method of the present invention, a sound analysis device that supports the suppression action of living sounds by users of an apartment house measures the sounds generated in each of a plurality of living spaces included in the apartment house by a measurement unit, and stores information regarding the generated sound (living sound) in the first living space among the plurality of living spaces in a storage unit. When a user of the first living space performs a predetermined action with respect to the generated sound (living sound) in the second living space other than the first living space among the plurality of living spaces, the information regarding the generated sound (living sound) in the first living space corresponding to the measurement result of the generated sound (living sound) in the second living space is specified in the storage unit, and the specified information regarding the generated sound is reported to the user of the first living space, thereby solving the problem. According to the above sound analysis method, each user of the apartment house can accurately recognize the influence of their own and others' living sounds, and thus it becomes possible to support the suppression action of living sounds by the users.

Effects of the Invention

[0017] According to the sound analysis device and the sound analysis method of the present invention, each user of the apartment house can accurately recognize the influence of their own and others' living sounds, and thus it becomes possible to support the suppression action of living sounds by the users.

Brief Description of the Drawings

[0018]

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Mode for Carrying Out the Invention

[0019] <<Regarding a sound analysis device according to an embodiment of the present invention>> Hereinafter, one embodiment of the present invention (hereinafter, this embodiment) will be described with reference to the accompanying drawings. However, the embodiment described below is merely an example given to facilitate the understanding of the present invention and does not limit the present invention. That is, the present invention can be changed or improved from the embodiment described below without departing from its gist. Also, of course, equivalents of the present invention are included therein.

[0020] Also, the screen examples shown in the drawings referred to in the following description are merely examples, and the configuration example of the screen, the content of the information displayed, the GUI (Graphical User Interface), etc. can be freely designed according to the system design specifications, the user's preferences, etc., and can also be changed as appropriate.

[0021] Also, in this specification, the “device” includes not only one device that exhibits a predetermined function alone but also a combination of a plurality of devices that cooperate to exhibit a predetermined function although they are separated from each other.

[0022] In the following description, it is assumed that users living in each household (living space) of an apartment house generate various living sounds by their own actions. Here, the actions of the users include all actions related to sound, not only actions that are themselves sound sources but also those that trigger the generation of sound. Examples of such actions can include conversations, singing, musical instrument playing, as well as the use of living equipment including home appliances and various facilities. Or it can also include playing and training with children or pets. As an example of the above-mentioned home appliances, for example, a vacuum cleaner, a washing machine, an air conditioner, a TV, an audio, etc. can be assumed. Also, as an example of the above-mentioned living equipment, for example, a toilet, a bathtub, washroom facilities, etc. can be assumed. Also, such actions correspond to events that occur in the living space.

[0023] Among the users of each apartment house in the above situation, there are quite a few cases where they feel uncomfortable about the living sounds generated by each other. However, by applying the technology of the present invention to such a situation, it becomes possible to surely make each user recognize that they themselves have also generated sounds similar to those of other users. Also, making the recognition of the sounds emitted by oneself and others certain can lead to promoting actions to suppress living sounds and fostering tolerance towards others. Hereinafter, the technology corresponding to the present invention having such viewpoints and effects will be described.

[0024] However, the application target of the present invention can be variously assumed as long as it is not only a general residential apartment house but also something that can be divided and used by a plurality of users in one structure. Such facilities can be assumed, for example, office buildings, logistics centers, various warehouses, hotels, passenger ships, inpatient facilities in hospitals, etc.

[0025] <Network Configuration> First, a network configuration example including the sound analysis device 10 in the present embodiment will be described with reference to FIG. 1. FIG. 1 is a diagram showing a network configuration example in the present embodiment.

[0026] In the network configuration shown in FIG. 1, the sound analysis device 10 of the present embodiment is communicably connected to a distribution board 3, a sound pressure sensor 4, an event sensor 5 (a power meter 5A and a water meter 5B), and a user terminal 6 provided in each living space 2 (living spaces A to C) in the apartment house 1 via an appropriate network N such as the Internet, a LAN (Local Area Network), a WAN (Wide Area Network), or a mobile phone network.

[0027] However, such a network configuration is merely an example, and at least one of the distribution board 3, the sound pressure sensor 4, the event sensor 5, the user terminal 6, and the living device 7 may implement a part of the functions of the sound analysis device 10 and be integrated with the sound analysis device 10. Alternatively, a form in which a plurality of devices existing in the network N share and provide the configuration and functions of the sound analysis device 10 and cooperate to execute the sound analysis method of the present embodiment can also be adopted.

[0028] In addition to the sound analysis device 10 included in the network configuration illustrated in FIG. 1, a sound analysis system 8 may be configured by the distribution board 3, the sound pressure sensor 4, the event sensor 5, and the user terminal 6. Such a sound analysis system 8 executes the sound analysis method by having its constituent devices share and implement the functions of the sound analysis device 10 and cooperate through the network N.

[0029] Among the above network configurations, the distribution board 3 is a device that distributes commercial power drawn from the main power distribution network to each living space 2, living device 7, etc. The distribution board 3 in the present embodiment is assumed to have a communication function accessible to the network N in addition to a general configuration such as various circuit breakers, ampere breakers, and a power meter 5A. The power meter 5A is an example of the event sensor 5 and is a device that measures the power used by the living device 7 in the living space 2 where the distribution board 3 is installed. The measurement result is transmitted to the sound analysis device 10 via the network N by the communication function provided in the distribution board 3 or the power meter 5A itself.

[0030] Incidentally, the household appliances and equipment, etc., i.e., the living devices 7 provided in the living space 2, are devices that can generate living sounds when used by the users of the living space 2. Such living devices 7 may include, in addition to those using the above-mentioned electric power, toilets, washbasin equipment, and bathrooms that use water. Also included may be dryers, ranges, ovens, air-conditioning equipment, etc. that use gas.

[0031] Among these, for the living devices 7 that use water, the water consumption (which may include the concept of drainage volume) is measured by a water meter 5B, which is an example of the event sensor 5. The measurement result by the water meter 5B is transmitted to the sound analysis device 10 via the network N by the communication function provided in the distribution board 3 or the water meter 5B itself. Although a specific description of the living devices that use gas is omitted, it is assumed that each living space is equipped with a measuring device that measures the gas consumption, similar to other living devices. The measurement result of the gas consumption is also transmitted to the sound analysis device 10 via the network N by the communication function provided in the measuring device itself or the distribution board 3. Of course, these living devices 7 are just examples, and there is no limitation regarding various devices that use various energies and resources and the types of measurement results of the usage amounts of energies, etc. by those devices.

[0032] The sound analysis device 10 receives the measured values from the power meter 5A and the water meter 5B, collates them with an event determination model 110 described later, and identifies the event that is the source of the living sound. In this case, the event determination model 110 is assumed to define the power consumption and water consumption for each event.

[0033] Also, the sound pressure sensor 4 is a sensor that measures the sound pressure of the living sound generated in the living space 2. The sound pressure sensor 4 is equipped with a communication function that can access the network N, and transmits the measurement result of the sound pressure to the sound analysis device 10 by this communication function. On the other hand, as the measurement result by the sound pressure sensor 4, the sound analysis device 10 stores, for example, the measured values of the sound pressure at regular intervals in a storage unit 13 (described later).

[0034] Note that the sound pressure sensor 4 can also serve as a sensor for identifying events in the living space 2. In this case, the sound analysis device 10 collates the measured value of the sound pressure of the ambient sound with an event determination model 110 described later to identify the event that is the source of the ambient sound. The event determination model 110 in this case is assumed to define the sound pressure characteristics for each event.

[0035] Note that it is preferable if the sound pressure sensor 4 has a function of recording the ambient sound in addition to the function of measuring the sound pressure of the ambient sound. In this case, the sound pressure sensor 4 transmits the recorded data obtained by the recording function to the sound analysis device 10. The sound analysis device 10 receives the recorded data from the sound pressure sensor 4 and performs frequency analysis (for example, FFT analysis, etc.) on the target ambient sound. Alternatively, the sound pressure sensor 4 may perform frequency analysis based on the above recorded data and transmit the result to the sound analysis device 10.

[0036] The sound analysis device 10 may also collate the frequency characteristics indicated by the results of such frequency analysis with the event determination model 110 to identify the event that is the source of the ambient sound. The event determination model 110 in this case is assumed to define not only the sound pressure characteristics for each event but also the frequency characteristics thereof.

[0037] In the sound analysis device 10, for example, by collating each piece of information on the time transition of the frequency distribution of the sound and the time transition of the sound pressure on the same time axis, it becomes easier to identify how often and for how long a sound of a specific frequency with a sound pressure above a certain level occurs. Generally, a sound with a high frequency (for example, 1 kHz or higher) is considered to be more easily perceived by a person than a sound with a lower frequency. Therefore, when a sound with such a high frequency is generated at a large sound pressure, the possibility that a person feels uncomfortable increases. Also, a situation where such a sound continues for a certain period of time or a situation where it occurs repeatedly at a high frequency also has a high possibility of increasing a person's discomfort.

[0038] Therefore, based on the measurement results obtained from the sound pressure sensor 4, the sound analysis device 10 may identify an event accompanied by a sound of a specific frequency at a certain sound pressure level, which continues for a specified time or occurs repeatedly at a specified frequency, by collating various information with the event determination model 110. In this case, the event determination model 110 defines each item such as sound pressure, frequency characteristics, and duration for each event.

[0039] Further, the user terminal 6 is a terminal operated by the user of the living space 2. When the user of the living space 2 feels uncomfortable with the ambient sound generated in another living space 2, the user uses this user terminal 6 to report to the sound analysis device 10 about the generation of the ambient sound that caused discomfort.

[0040] In this case, the sound analysis device 10 distributes a reception screen for such reports to the user terminal 6 in response to a request from the user. The sound analysis device 10 will obtain information on the content of the report from the user terminal 6 through the reception screen. Note that the content of the report regarding the generation of ambient sound may include information such as the date and time when the ambient sound was perceived, the direction of the sound source (specification of adjacent households above, below, left, or right, etc.), the magnitude of the perceived sound, etc. However, as a minimum configuration, it may include only the fact of sound generation and the information on the date and time when it was perceived. The report transmitted from the user terminal 6 in this way will be used as a trigger to start the flow of the sound analysis method in the sound analysis device 10.

[0041] Note that the user terminal 6 is equipped with communication means capable of accessing the network N and is communicable with the sound analysis device 10. Such communication means is assumed to be a chipset that executes a series of processes such as communication start, data transmission and reception, and communication end in accordance with the procedures of the network N protocol, or a mobile phone equipped with such a chipset.

[0042] As shown in FIG. 1, the sound analysis device 10 in this embodiment includes a measurement unit 11, a determination unit 12, a storage unit 13, a specification unit 14, and a reporting unit 15.

[0043] Of these, the measurement unit 11 acquires measurement results such as the loudness of living sounds generated in each of a plurality of living spaces 2 included in the apartment house 1 from the sound pressure sensor 4. The measurement unit 11 obtains measurement values such as the loudness of the generated sound in each of the above living spaces 2 as a result of the measurement by the sound pressure sensor 4. The measurement unit 11 may further acquire measurement values not only from the sound pressure sensor 4 but also from event sensors 5 such as the wattmeter 5A and the water meter 5B of the distribution board 3. The measurement unit 11 generates a record by associating the measurement values obtained from the sound pressure sensor 4, the wattmeter 5A, and the water meter 5B with the identification information of the apartment house 1 and the living space 2 to be measured, the measurement date and time, etc., and stores it in the measurement value DB13A of the storage unit 13.

[0044] Also, the determination unit 12 acquires observation values of events that occurred in each living space 2 from event sensors 5 installed in each living space 2 and observing the events that occurred in the respective living spaces 2. Since the event sensors 5 in the present embodiment are the wattmeter 5A and the water meter 5B, the observation values acquired here are values of the amount of power and water used in the living equipment 7. Further, the determination unit 12 may also acquire measurement values such as sound pressure obtained by the measurement unit 11 from the sound pressure sensor 4 in addition to such observation values.

[0045] The determination unit 12 determines the events that occurred in the living space 2 by applying the observation values obtained from the event sensors 5 (and the sound pressure sensor 4) to the event determination model 110. Although the details of the event determination model 110 will be described later, as an example, a table that defines various characteristics of the living sounds generated for each living behavior of the user of the living space 2 and the amount of power and water used along with the living behavior can be assumed.

[0046] Alternatively, instead of the rule-based event determination as illustrated in FIG. 4, a method of event determination using a deep learning model trained with teacher data may be adopted. In this case, the model corresponds to a learning model that has advanced learning using the values of each item such as the sound, the power used, and the water volume used observed regarding the living behavior, that is, the event, as teacher data.

[0047] The storage unit 13 holds a measurement value DB 13A, an action history DB 13B, and a household DB 13C. The storage unit 13 stores the records generated by the measurement unit 11 in the measurement value DB 13A. Further, the storage unit 13 generates and stores an action history DB 13B (correspondence relationship) by associating the events determined by the determination unit 12 for each living space 2 with the respective measurement values of the generated sound, power consumption, and water consumption due to the events in the respective living spaces 2. Further, the storage unit 13 holds information such as identification information of each living space, the floor where it is located, and neighboring households in the household DB 13C. The information held in this household DB 13C is provided by an appropriate information management entity such as the management organization of the apartment building 1.

[0048] Further, in a case where a certain user (user of the first living space) has reported on the living sound in another person's living space 2, the specifying unit 14 specifies information regarding the living sound generated by the user who is the reporter in the past, according to the measurement result of the living sound in the other person's living space (second living space).

[0049] The information regarding the living sound specified here is a sound of the same magnitude as the measured value of the magnitude of the living sound in the second living space, and is information regarding the event that occurred in the living space 2 of the reporter. Specifically, in the action history DB 13B, a record regarding the apartment building 1 and the living space 2 used by the reporter is searched for, where the sound pressure value is the same as or within a certain range of the measured value of the magnitude of the living sound in the (reported-on) second living space, and the value in the "living action" column of the record is extracted as the target information.

[0050] Note that there is also a case where the unpleasant living sound perceived by the above-mentioned reporter is heard not only from one living space 2 but from a plurality of living spaces 2 in the same period. In that case, the reporter will make a report regarding each of the living spaces 2 (second living spaces) from which the unpleasant living sound is heard.

[0051] On the one hand, in response to the user (the user of the first living space) having reported the generated sounds in each of the plurality of second living spaces, the specifying unit 14 specifies, as the third living space, the one with the largest generated sound volume among the plurality of second living spaces. This specification is a process of selecting the one with the largest measured value obtained from the sound pressure sensor 4 of each of the target second living spaces.

[0052] In addition, the specifying unit 14 specifies, in the action history DB13B of the storage unit 13, information regarding the measured value of the generated sound volume in the first living space according to the measured value of the generated sound volume in the above-mentioned third living space. The information specified here is a value set in the daily activity column, and corresponds to descriptions of specific daily activities such as "using a vacuum cleaner" and "cleaning the toilet (large)".

[0053] In addition, the reporting unit 15 reports the information regarding the generated sound specified by the specifying unit 14, that is, the value in the "daily activity" column in the action history DB13B, etc., to the user terminal 6 of the user in the first living space.

[0054] <Hardware Configuration of Sound Analysis Device> Subsequently, the configuration of the sound analysis device 10 will be described. FIG. 2 is a diagram showing an example of the hardware configuration of the sound analysis device 10 in the present embodiment. Note that the sound analysis device 10 in the present embodiment may be configured by a plurality of computers arranged in parallel and distributed, in addition to the case where it is configured by one computer as shown in the figure. Alternatively, the sound analysis device 10 may be configured by a computer for ASP (Application Service Provider), SaaS (Software as a Service), PaaS (Platform as a Service), or IaaS (Infrastructure as a Service).

[0055] Here, on the premise that the sound analysis device 10 in this embodiment is configured by a single computer, FIG. 2 shows a configuration in which the sound analysis device 10, an auxiliary storage device 101, a main storage device 103, an arithmetic device 104, and a communication device 105 are connected by a bus 106.

[0056] Among the above configurations, the auxiliary storage device 101 is implemented by a non-volatile storage device or storage medium such as, for example, an HDD (Hard Disk Drive), an SSD (Solid State Drive), a flash memory, an FD (Flexible Disc), a MO disk (Magneto-Optical disc), a CD (Compact Disc), a DVD (Digital Versatile Disc), an SD card (Secure Digital card), or a USB memory (Universal Serial Bus memory).

[0057] In addition to being built into the housing of the sound analysis device 10, the auxiliary storage device 101 may be configured to be externally connected to the sound analysis device 10. Further, the auxiliary storage device 101 may be configured by another computer or the like that is communicably connected to the sound analysis device 10. Note that, as a technique for recording various data, a distributed ledger technology such as blockchain may be used for the purpose of avoiding unauthorized data tampering and the like.

[0058] The auxiliary storage device 101 in this embodiment stores a measurement value DB 13A and an action history DB 13B, which will be described later.

[0059] Also, the main storage device 103 may be configured by a volatile semiconductor memory such as a ROM (Read Only Memory) and a RAM (Random Access Memory). The main storage device 103 in this embodiment holds a program 102 including an OS (Operating System) read from the auxiliary storage device 101 and an event determination model 110.

[0060] Among these, the OS implements the control and basic functions of the computer itself. Under its control, the arithmetic unit 104 calls and executes each part of the program 102 to implement each function corresponding to the sound analysis method. Such functions are, namely, the measurement unit 11, the determination unit 12, the storage unit 13, the specification unit 14, and the reporting unit 15.

[0061] Also, the arithmetic unit 104 may be composed of a CPU (Central Processing Unit), an MPU (Micro-Processing Unit), an MCU (Micro Controller Unit), a GPU (Graphics Processing Unit), a DSP (Digital Signal Processor), a TPU (Tensor Processing Unit), or an ASIC (Application Specific Integrated Circuit), etc.

[0062] Also, the communication device 105 is assumed to be, for example, a chipset for communication corresponding to a mobile communication protocol of the 3G to 5G or later generations, or a protocol of LTE (Long Term Evolution). However, depending on the type of the network N, it may be implemented by other devices or the like. For example, when the network N is configured by a wireless LAN, the communication device 105 will be implemented by a network interface card corresponding to the wireless LAN protocol based on Wi-fi (registered trademark).

[0063] <Regarding various databases> Subsequently, various databases held by the sound analysis device 10 in the present embodiment will be described. (Configuration of the measurement value DB) First, the measurement value DB 13A will be described with reference to FIG. 3. FIG. 3 is a diagram showing a configuration example of the measurement value DB 13A in the present embodiment. The measurement value DB 13A in the present embodiment is a database that stores the measurement value of the sound pressure obtained by the measurement unit 11 from the sound pressure sensor 4 and the observed values of the electric power and the water volume obtained by the determination unit 12 from the event sensor 5.

[0064] The data structure is, for example, an aggregate of records including identification information uniquely identifying the apartment house 1 and the living space 2 respectively, identification information, types, measurement dates and times, and each value such as measurement values of various sensors such as the sound pressure sensor 4 and the event sensor 5 installed in the living space 2.

[0065] In the example of FIG. 3, for example, in the living space "A" of the apartment house "M001", from the perspective of the sensor type "sound pressure" of the sensor "SA01", at the measurement date and time "23 / 11 / 28 06:38", a record in which the measurement value "64 dB" was measured is stored. Also, in the living space "A" of the apartment house "M001", from the perspective of the sensor type "water volume" of the sensor "SA02", at the occurrence date and time "23 / 11 / 28 06:48", a record in which the measurement value "6.8 L" was measured is stored. Also, in the living space "A" of the apartment house "M001", from the perspective of the sensor type "electric power" of the sensor "SA03", at the occurrence date and time "23 / 11 / 28 06:38", a record in which the measurement value "1.1 kW" was measured is stored.

[0066] Also, in the living space "B" of the apartment house "M001", from the perspective of the sensor type "sound pressure · frequency" of the sensor "SB01", at the occurrence date and time "23 / 11 / 28 07:31", a record in which the measurement values "52 dB, 0.3 kHz" were measured is stored. Also, in the living space "B" of the apartment house "M001", from the perspective of the sensor type "water volume" of the sensor "SB02", at the occurrence date and time "23 / 11 / 28 06:01", a record in which the measurement value "4.2 L" was measured is stored. Also, in the living space "B" of the apartment house "M001", from the perspective of the sensor type "electric power" of the sensor "SB03", at the occurrence date and time "23 / 11 / 28 07:29", a record in which the measurement value "0.7 kW" was measured is stored.

[0067] (Configuration of event determination model) Next, the event determination model 110 will be described with reference to FIG. 4. FIG. 4 is a diagram showing a configuration example of the event determination model 110 in the present embodiment. The event determination model 110 in the present embodiment is a database that stores numerical ranges for various items that define the characteristics of various actions performed by the user of the living space 2.

[0068] Its data structure is, for example, a collection of records that include an ID for identifying a regulation as a key, the daily life actions targeted by the regulation, and each item and numerical range such as the sound pressure, frequency, duration, power consumption, and water consumption of the daily life sounds generated by the daily life actions. In the example shown in FIG. 4, for example, regarding the daily life sound generated when performing the daily life action of "using a vacuum cleaner" with the ID "C001", a record that defines the sound pressure as "60 - 65" dB, the frequency as "2 - 3" kHz, the duration as "5 -" Sec, the power consumption as "1 - 2" kW, and the water volume as "-" is stored. Also, regarding the daily life sound generated when performing the daily life action of "cleaning the toilet (large)" with the ID "C002", a record that defines the sound pressure as "48 - 60" dB, the frequency as "1 - 2.5" kHz, the duration as "3 - 5" Sec, the power consumption as "-" kW, and the water volume as "6 - 8" L is stored. Also, regarding the daily life sound generated when performing the daily life action of "operating the air conditioner (outdoor unit)" with the ID "C003", a record that defines the sound pressure as "40 - 52" dB, the frequency as "0.3 - 0.8" kHz, the duration as "600 -" Sec, the power consumption as "0.5 - 1.2" kW, and the water volume as "-" is stored.

[0069] The numerical ranges of each item stored in such records correspond to, for example, the results of measurements made by research institutions, survey institutions, academic institutions, etc. regarding the daily life sounds generated along with actual daily life actions and the usage amounts of resources such as electricity and water, and appropriate statistical processing such as average values and median values has been performed.

[0070] (Configuration of the Action History DB) Next, the action history DB 13B will be described with reference to FIG. 5. FIG. 5 is a diagram showing a configuration example of the action history DB 13B in the present embodiment. The action history DB 13B in the present embodiment is a database that stores the occurrence history of living sounds in each living space of the apartment house 1.

[0071] Its data structure is a collection of records including values such as identification information that uniquely identifies each living space 2 of the apartment house 1, the date and time when a living sound occurred in the living space 2, the living action that caused the living sound, and the sound pressure. In the example of FIG. 5, in the living space "A" of the apartment house "M001", a record is stored in which the sound pressure "64 dB" and other items (not shown in the attached drawings) were measured regarding the living action of "using a vacuum cleaner" at the date and time of "23 / 11 / 28 06:38". Also, in the living space "A" of the apartment house "M001", a record is stored in which the sound pressure "60 dB" and other items (not shown in the attached drawings) were measured regarding the living action of "cleaning the toilet (large)" at the date and time of "23 / 11 / 28 05:03". Also, in the living space "A" of the apartment house "M001", a record is stored in which the sound pressure "42 dB" and other items (not shown in the attached drawings) were measured regarding the living action of "operating the washing machine" at the date and time of "23 / 11 / 28 06:20".

[0072] Among these, the value of "living action" is extracted by the determination unit 12 from the "living action" column of a record that matches the measurement values obtained from the sound pressure sensor 4 and the event sensor 5 with the event determination model 110 and whose measurement values fall within the numerical range of the corresponding item.

[0073] In the example shown in FIG. 5, records in which values were stored regarding the sound pressure observed for the living action were shown, but it may also be assumed that values regarding the frequency or duration of the living sound obtained from the sound pressure sensor 4, or values regarding the usage amounts of electricity, water, gas, etc. associated with the use of the living device 7 obtained from the event sensor 5 are also stored. As the number of types of observed values that characterize the living action increases, it becomes easier to accurately distinguish and identify each living action. Therefore, the efficiency of various processes in the present embodiment and the accuracy of the information presented to the user are also improved.

[0074] (Configuration of Dwelling Unit DB) Next, the dwelling unit DB 13C will be described with reference to FIG. 6. FIG. 6 is a diagram showing a configuration example of the dwelling unit DB 13C in the present embodiment. The dwelling unit DB 13C in the present embodiment is a database that stores identification information, location floors, and information regarding adjacent dwelling units, upper floors, and lower floors of each living space in the apartment house 1.

[0075] The data structure is an aggregate of records including identification information that uniquely identifies each living space 2 in the apartment house 1, the room number, location floor, adjacent dwelling units (left adjacent dwelling unit / right adjacent dwelling unit), upper floors (left diagonally up / straight up / right diagonally up), and lower floors (left diagonally down / straight down / right diagonally down) of the living space 2. In the example of FIG. 6, it shows a data structure in which information on rooms 701 to 703 on the 7th floor and rooms 601 to 603 on the 6th floor, with the living spaces "A" to "F" in the apartment house "M001", is defined. With the data of such a dwelling unit DB 13C, it becomes possible to confirm the location of each living space and the positional relationship of adjacent dwelling units in the apartment house 1.

[0076] <Flow of Measurement Value Acquisition and Event Judgment>[ Next, a flow example of the sound analysis method in the present embodiment will be described. The sound analysis method according to the present embodiment proceeds first according to the flow shown in FIG. 7. FIG. 7 is a flow example of the sound analysis method in the present embodiment, and specifically, it is a diagram showing the flow of measurement value acquisition and event judgment.

[0077] In the flow shown in FIG. 7, the measurement unit 11 of the sound analysis device 10 executes measurement by the sound pressure sensor 4 regarding the living sounds generated in each of the plurality of living spaces 2 included in the apartment house 1 (S1). The execution of this measurement can assume various cases of measurement execution triggered by various conditions, such as a case where the sound pressure sensor 4 executes measurement each time in response to an instruction from the measurement unit 11, or a case where the sound pressure sensor 4 autonomously executes measurement at regular intervals. Also, not only the sound pressure sensor 4 but also an event sensor 5 that measures the usage amounts of power, water, gas, etc. can be included in performing the measurement.

[0078] On the one hand, the sound pressure sensor 4 measures the sound pressure of the sound in the installed living space 2 and responds to the sound analysis device 10 via the network N with the measurement value (S11). The measurement unit 11 receives the measurement values from the sound pressure sensors 4 of each living space 2 via the network N (S2). Further, the measurement unit 11 determines whether the measurement value of the sound pressure among the received measurement values is equal to or greater than a predetermined reference value (S3).

[0079] As a result of the above determination, when the measured sound pressure value is below the reference value (S3: N), the measurement unit 11 returns the process to (S11) to prepare for the next measurement process. On the other hand, as a result of the above determination, when the measured sound pressure value is equal to or greater than the reference value (S3: Y), the measurement unit 11 determines whether the duration of the sound pressure indicated by the measurement value is equal to or greater than a predetermined reference value (S4).

[0080] As a result of the above determination, when the duration of the above sound pressure is below the reference value (S4: N), the measurement unit 11 returns the process to (S11) to prepare for the next measurement process. On the other hand, as a result of the above determination, when the duration of the sound pressure is equal to or greater than the reference value (S4: Y), the measurement unit 11 generates a record by associating the measurement value (received in S2) including the measured sound pressure value with the identification information of the apartment building 1 or living space 2 to be measured, the identification information of the sensor, the type, and the measurement date and time, etc., and stores it in the measurement value DB13A (S5), and ends this flow. By repeatedly executing such a series of processes, the records of the measurement value DB13A are accumulated, and the measurement value DB13A is formed.

[0081] <Flow of generating the behavior history DB> Subsequently, among the flows of the sound analysis method in the present embodiment, an example of the flow of generating the behavior history DB13B will be described. FIG. 8 is an example of the flow of the sound analysis method in the present embodiment, specifically, a diagram showing the flow of generating the behavior history DB13B.

[0082] In this flow, the determination unit 12 acquires the observed values of the events that occurred in each living space 2 from the event sensors 5 (including the sound pressure sensor 4; the same shall apply hereinafter) of each living space 2 (S20). As the event sensors 5 in this embodiment, a sound pressure sensor 4, a wattmeter 5A, and a water meter 5B are assumed. Therefore, as an example of the observed values acquired in this S20, the sound pressure of the ambient noise in the living space 2 and the values of the power and water consumption in the living appliances 7 are obtained. Of course, such a set of three types of observed values is just an example, and it is sufficient to acquire the observed values obtained from at least those related to the sound pressure among the event sensors 5.

[0083] Subsequently, the determination unit 12 determines whether the observed values obtained in S20 satisfy a predetermined criterion (S21). The criterion used in this determination can be, for example, the allowable range of the observed values, and the maximum range of the values of each item across each record of the event determination model 110 can be assumed. In the event determination model 110 shown in FIG. 4, for example, for the item "sound pressure", when aggregating the value ranges of each of the IDs "C001" to "C005", the minimum value is "25" dB in ID "C005", the maximum value is "65" dB in ID "C001", and the maximum range of the values is "25 to 65" dB. Therefore, if the observed value of the sound pressure is, for example, "120" dB, it is determined that the observed value of "sound pressure" does not satisfy the criterion.

[0084] Similarly, for example, for the item "power consumption", when aggregating the value ranges of each of the IDs "C001" to "C005", the minimum value is "0.2" kW in ID "C004", the maximum value is "2" kW in ID "C001", and the maximum range of the values is "0.2 to 2" kW. Therefore, if the observed value of the power consumption is, for example, "5.5" kW, it is determined that the observed value of "power consumption" does not satisfy the criterion.

[0085] As a result of the determination in S21 above, if none of the observed values obtained in S20 satisfy their respective criteria (S21: N), the process returns to S20. On the other hand, as a result of the above determination, if at least the observed values related to the sound pressure satisfy the criteria (S21: Y), the determination unit 12 proceeds with the process to S22.

[0086] The determination unit 12 applies the observed values obtained through the processes of S20 and S21 to the event determination model 110, and determines the event that occurred in the living space 2 (S22). For example, assume that the observed values obtained from the event sensor 5 are a set of sound pressure "42" dB, duration "1200" Sec, power consumption "0.6" kW, and water consumption "80" L. When this set of observed values is compared with each record of the event determination model 110 illustrated in FIG. 4, it is found that this set of observed values is included in the value ranges of each item related to the daily activity of "operation of washing machine" with ID "C004". That is, in the determination in S22, it can be determined that the event that occurred in the living space 2 is "operation of washing machine".

[0087] In addition, when the types of observed values obtained from the event sensor 5 do not exactly match any record of the event determination model 110 in terms of the types of the above items (sound pressure, frequency, duration, power consumption, and water consumption), for example, it is also possible to specify records that include the observed values of the corresponding types in the value ranges of the corresponding items, and specify the "daily activity" in the records as the event.

[0088] For example, when only the set of "sound pressure" and "water consumption" is obtained as the observed values, none of the records of the event determination model 110 illustrated in FIG. 4 define only "sound pressure" and "water consumption". Therefore, the determination unit 12 specifies IDs "C002" and "C004" as those including the regulations regarding the items of "sound pressure" and "water consumption" among the records of the event determination model 110. Then, the determination unit 12 compares the value ranges of "sound pressure" and "water consumption" in these two records with each value of the set of observed values, and determines whether each value of the observed values is included in the value range.

[0089] The determination unit 12 specifies, as an event, the value of "lifestyle behavior" of the record among the target records in which each value of the observed values is included in the value range in this determination. In addition, if all of the target records include each value of the observed values in the value range, for example, the larger value of "sound pressure" is specified as the event. The fact that the sound pressure is high means that the direct impact on users in other living spaces is large, which is in line with the purpose of the present invention.

[0090] Also, if the event determination model 110 is a model obtained by deep learning, the determination unit 12 inputs the set of observed values obtained in S20 into the model, and obtains, as an output, information on the event of "operation of the washing machine" in the same manner as in the above case.

[0091] Subsequently, the determination unit 12 associates the event information "operation of the washing machine", which is the determination result in S22, with each observed value of the generated sound, power consumption, and water consumption due to the event in the living space 2 acquired in S20, and transmits it to the storage unit 13, instructing to store it in the action history DB 13B (S23).

[0092] On the other hand, the storage unit 13 generates a record including the event information "operation of the washing machine" and the set of observed values received from the determination unit 12, stores this in the action history DB 13B (S24), and ends this flow. In this way, for each user of the living space, the history of what kind of living sounds are generated is accumulated as a database. Each record in such an action history DB 13B serves as evidence that the user who felt discomfort with the living sounds generated in other living spaces 2 has also generated the same living sounds himself / herself.

[0093] <Reporting flow to the user> Next, among the flows of the sound analysis method in the present embodiment, a flow example corresponding to a case where a report has been made from a user of another living space 2 regarding the living sounds generated in a certain living space 2 of the apartment building 1 will be described. FIG. 9 is a flow example of the sound analysis method in the present embodiment. Specifically, it is a diagram showing a report flow regarding the same living sounds emitted by the reporter himself / herself in the past to the user (hereinafter referred to as the reporter) who made the above report.

[0094] Here, assume that the above reporter perceived unpleasant living sounds emitted from another adjacent living space 2 in his / her own living space 2. The definition of the living sounds that make the reporter feel uncomfortable can be various, but at least, it is an essential condition that the sound pressure and the duration (including the concept of the number of repetitions) are each above a certain standard. That is, the reporter makes a report triggered by feeling that a sound of a certain magnitude or more has continued for a certain period of time. In this case, the reporter operates the user terminal 6 and accesses the reporting website provided by the sound analysis device 10.

[0095] In this case, the specifying unit 14 of the sound analysis device 10 responds to the access from the user terminal 6 with the screen 1000 of the reporting website and accepts the input of the reporting content (S30). As shown in FIG. 10, the screen 1000 can be assumed to include, for example, a room number input field 1005 for specifying the reporter's own living space, a check box 1006 for confirming the reporter's feelings regarding each aspect such as the sound source, the loudness of the sound, and the duration of the sound, and an input field 1007 for the sound generation time. The reporter can report the situation regarding the living sounds of the adjacent household that he / she feels by making inputs in the input fields 1005 and 1007 and making settings in the check box 1006 on such a screen 1000.

[0096] On the one hand, the specific part 14 collates the input result of the room number of the reporter's own living space and the selection result regarding the sound source among the information such as the sound source indicated by the received report through the screen 1000 and the generation start time with the household DB 13C to identify the living space presumed to be the sound source of the reported environmental sound (S31). In the example of the screen 1000 in FIG. 10, the living space "A", that is, the "701" room, can be identified as the sound source as the living space "diagonally up to the left" seen from the "602" room.

[0097] Also, the specific part 14 searches for the record of the measurement value DB 13A using, for example, the living space "A" identified in S31 and the information of the sound generation time "6:40" indicated by the above report (refer to the input field 1007 of the screen 1000) as keys (S32). In the case of the measurement value DB 13A illustrated in FIG. 3, the record of the measurement value "64" dB at the time of "23 / 11 / 28 06:38" by the sound pressure sensor "SA01" of the living space "A" is hit.

[0098] Regarding the concept of the coincidence determination between the value of the generation time used as the search key and the value in the "measurement date and time" column in the measurement value DB 13A, if the value of the generation time as the search key is included in a range of, for example, about 30 minutes before and after the time indicated by the value in the "measurement date and time" column, it may be determined that they coincide. Therefore, for the living space "A", all the records measured regarding the sound pressure within 30 minutes before and after the time in the "measurement date and time" column will be hit in the search.

[0099] Subsequently, the specific part 14 determines whether the magnitude of the measured value of "sound pressure" for each record hit in S32 exceeds a predetermined reference value (e.g., 35 dB) and the duration of the sound exceeds a predetermined reference time (e.g., 5 minutes) (S33). Note that the duration of the sound can be specified from the distribution range of the measurement date and time of each record hit in the search of S32. For example, assume that the "measurement date and time" of each hit record is "23 / 11 / 28 06:29", "23 / 11 / 28 06:32", "23 / 11 / 28 06:35", "23 / 11 / 28 06:38", "23 / 11 / 28 06:41". In that case, among those measurement dates and times, the duration can be specified as 9 minutes from "23 / 11 / 28 06:32", which is the "measurement date and time" of the time furthest back from the current time, to "23 / 11 / 28 06:41", which is the "measurement date and time" of the time closest to the current time.

[0100] Of course, regarding the duration of the target event, it is also an operation obtained from the event sensor 5. When the record in the measurement value DB13A also includes information about the duration of the target event, the above-described duration specification process is unnecessary.

[0101] As a result of the above determination, if the condition that the magnitude of the measured value of "sound pressure" for each record hit in S32 exceeds the reference value and the duration of the sound exceeds the reference time is not satisfied (S33: N), the specific part 14 ends this flow. On the other hand, as a result of the above determination, if the above condition is satisfied (S33: Y), the specific part 14 specifies the record regarding Room "602", i.e., the living space "E", used by the informant based on the median value, average value, or maximum value of the sound pressure indicated by each record hit in S32 in the action history DB13B (S34). By this specification, an example in which the informant himself / herself also generated a sound with a sound pressure of the same magnitude as the loud living sound generated in the living space "A" that is the reporting target this time in the past will be specified.

[0102] In addition, when specifying the above-mentioned S34, the specifying unit 14 may collate with the event determination model 110 each median value, average value, or maximum value of the sound pressure indicated by each record hit in S32 and each piece of information on the duration specified as described above. Thereby, an event occurring in the living space "A" which is the source of the ambient sound is specified, and a record regarding this event and related to the living space "E" used by the informant is specified in the action history DB 13B. In this case, the informant will also identify cases where the same living behavior was performed in the past and sounds with the same sound pressure level were generated.

[0103] As a result of the above-mentioned specification of S34, if the target case cannot be specified (S35: N), the reporting unit 15 transmits, to the user terminal 6 of the informant, a notification to the effect that, for example, the same sound has not been generated in the past (refer to the screen 1050 in FIG. 11) (S36), and ends this flow. On the other hand, as a result of the above-mentioned specification of S34, if the target case can be specified (S35: Y), the reporting unit 15 transmits a report screen 1500 including the sound pressure value and the description of the living behavior indicated by the case to the user terminal 6 of the informant (S37), and ends this flow.

[0104] An example of the above-mentioned report screen 1500 is shown in FIG. 12. It is conceivable that this report screen 1500 includes information such as the occurrence time 1501 of the case, the sound pressure value 1502 measured in the case, the living behavior 1503 that was the sound source, and the message 1504, as the content of the report to the informant. In the example of FIG. 12, it is reported to the informant that "the operation of the washing machine" was performed early in the morning, causing the generation of a large ambient sound, and it is intended to prompt the informant to also consider maintaining a quiet living environment.

[0105] <Other Embodiments> Note that there is also a case where the unpleasant ambient sound perceived by the above-mentioned informant is heard from a plurality of living spaces 2 in the same period. Here, the processing corresponding to such a case will be described with reference to FIG. 13. In this case, the informant will make a report for each of the living spaces from which the unpleasant ambient sound is heard.

[0106] Therefore, the specifying unit 14 responds to the user terminal 6 of the informant with a screen 1010 of a website for receiving reports regarding each of a plurality of living spaces (S40). An example of this screen 1010 is shown in FIG. 14. As illustrated in FIG. 14, the screen 1010 has a configuration similar to that of the screen 1000 in FIG. 10 already shown, but has a configuration in which check boxes 1016B regarding the volume of sound are generated and displayed for each sound source according to the input result in the check box 1016A regarding the sound source.

[0107] Regarding the input fields 1017 and check boxes 1016C regarding the sound generation time and duration, they are in a form where input and selection are made collectively for a plurality of target living spaces (of course, it may also be in a form where input and selection are made for each of the plurality of target living spaces). This is a form for responding to reports caused by the occurrence of living sounds from a plurality of living spaces simultaneously.

[0108] The specifying unit 14 receives the input of the report content regarding a plurality of living spaces through the screen 1010 (S41). The specifying unit 14 collates the input result of the room number of the living space of the informant indicated by the report received through the screen 1010 and the selection result regarding a plurality of sound sources with the household DB 13C to specify a plurality of living spaces estimated to be the sound sources of the living sounds to be reported (S42). Here, for example, it is assumed that the living spaces "A" and "B" are specified.

[0109] Further, the specifying unit 14 searches for the records of the measurement value DB 13A using, for example, the information of the living spaces "A" and "B" specified in S42 and the sound generation time "6:40" indicated by the above report (refer to the input field 1017 of the screen 1010) as keys (S43). Through this search, the records for each of the living spaces "A" and "B" are specified.

[0110] Subsequently, the specifying unit 14 refers to the magnitude of the measured value of "sound pressure" for each record hit in S43, and specifies, for example, the living space ("A") associated with the record having the maximum sound pressure as the living space (the third living space) (S44). Thereafter, the specifying unit 14 will similarly execute each process after S33 in the flow of FIG. 9 with respect to this living space "A".

[0111] By performing such processing, even in a situation where living sounds are generated simultaneously from a plurality of sound sources, it is possible to efficiently identify the one that is considered to have the greatest impact on the informant among those living sounds and use it for generating the report content shown in FIG. 12.

Explanation of Signs

[0112] N Network 1 Apartment building 2 Living space 3 Distribution board 4 Sound pressure sensor 5 Event sensor 5A Power meter 5B Water meter 6 User terminal 7 Living equipment 8 Sound analysis system 10 Sound analysis device 11 Measurement unit 12 Judgment unit 13 Storage unit 13A Measurement value DB 13B Action history DB (correspondence relationship) 13C Household DB 14 Specifying unit 15 Reporting unit 100 Server device 101 Auxiliary storage device 102 Program 103 Main storage device 104 Arithmetic unit 105 Communication device 110 Event judgment model

Claims

1. A measurement unit that measures sounds generated in each of a plurality of living spaces included in an apartment building, a storage unit that stores information regarding the sounds generated in the first living space among the plurality of living spaces, a specifying unit that, for the sounds generated in a second living space other than the first living space among the plurality of living spaces, when a user of the first living space performs a predetermined action, specifies, in the storage unit, information regarding the sounds generated in the first living space according to the result of the measurement of the sounds generated in the second living space, a reporting unit that reports the specified information regarding the generated sounds to the user of the first living space, A sound analysis device having the above components.

2. The storage unit stores the correspondence between the events that occurred in the first living space and the measured values of the magnitudes of the sounds generated by the events, the specifying unit specifies, as information regarding the sounds generated in the first living space according to the result of the measurement of the sounds generated in the second living space, an event corresponding to the sounds generated in the second living space, based on the measured value of the magnitude of the sounds generated in the second living space and the correspondence, the reporting unit reports the specified information of the event to the user of the first living space, The sound analysis device according to Claim 1.

3. The measurement unit acquires, from sensors installed in each living space for measuring the magnitude of sound, the measured values of the magnitudes of the sounds generated in each of the living spaces. The sound analysis device according to Claim 1 or 2.

4. It further has a determination unit that acquires the observed values of the events that occurred in each living space from sensors installed in each living space for observing the events that occurred in each living space, and determines the events that occurred in each living space by applying the observed values to a predetermined event determination model, the storage unit stores the correspondence by associating the events determined for each living space by the determination unit with the measured values of the sounds generated by the events in each of the living spaces, The sound analysis device according to Claim 2 or 3.

5. The specifying unit, for the sounds generated in each of the plurality of second living spaces, when a user of the first living space performs a predetermined action, specifies the one with the largest magnitude of the generated sound among the plurality of second living spaces as the third living space, and specifies, in the storage unit, information regarding the measured value of the magnitude of the sounds generated in the first living space according to the measured value of the magnitude of the sounds generated in the third living space, The sound analysis device according to Claim 1.

6. A sound analysis device that supports the suppression behavior of living sounds by users of an apartment house, causes a measuring unit to measure sounds generated in each of a plurality of living spaces included in the apartment house, stores information on the generated sound in the first living space among the plurality of living spaces in a storage unit, when a user of the first living space performs a predetermined action with respect to the generated sound in a second living space other than the first living space among the plurality of living spaces, identifies, in the storage unit, information on the generated sound in the first living space according to the result of the measurement of the generated sound in the second living space, and reports the identified information on the generated sound to the user of the first living space. A sound analysis method characterized by the above.

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