Determination device, price determination method, and price determination program

Abstract

To realize a comfortable living space free from noises from others.SOLUTION: A determination device according to the present application includes an acquisition unit configured to acquire an index value indicating the intensity of sound in a dwelling room existing in a predetermined collective housing, and a determination unit configured to determine the price of the dwelling room based on the index value acquired by the acquisition unit.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present invention relates to a determination device, a price determination method, and a price determination program. [Background technology]

[0002] Conventionally, a system has been proposed for providing real estate property information or facility information with evaluation information that evaluates the living environment from the viewpoint of comfort. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2018-190009 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the above-mentioned conventional techniques do not necessarily make it possible to realize a comfortable living space where people are not bothered by noise from others.

[0005] For example, the above-mentioned prior art discloses that measurement data measured by sensors installed in properties is recorded as environmental parameters for each property, and these environmental parameters are used to determine an evaluation value for evaluating the environmental state of each property, and the determined evaluation value is provided attached to the property information.

[0006] However, even if adding the evaluation results of the environmental conditions to the property information can resolve the information deficiency in the property information, it is thought that it will not be possible to realize a comfortable living space where people are not bothered by noise from others.

[0007] The present application has been made in consideration of the above, and aims to realize a comfortable living space where people are not bothered by noise from others. [Means for solving the problem]

[0008] A determination device according to one aspect of the present invention includes an acquisition unit that acquires an index value indicating the sound intensity in a residential room in a specified apartment building, and a determination unit that determines the price of the residential room based on the index value acquired by the acquisition unit.

[0009] A price determination method according to one aspect of the present invention is a price determination method executed by a determination device, and includes an acquisition step of acquiring an index value indicating the sound intensity in a residential room in a specified apartment building, and a determination step of determining the price of the residential room based on the index value acquired by the acquisition step.

[0010] A price determination program according to one aspect of the present invention causes a computer to execute an acquisition procedure for acquiring an index value indicating the sound intensity in a residential room in a specified apartment building, and a determination procedure for determining the price of the residential room based on the index value acquired by the acquisition procedure. [Effects of the Invention]

[0011] According to the above aspect, for example, it is possible to realize a comfortable living space where people are not bothered by noise from others. [Brief explanation of the drawings]

[0012] [Figure 1] FIG. 1 is a diagram showing a system configuration according to an embodiment. [Figure 2] FIG. 2 is a diagram illustrating an example of the estimation process of the information processing according to the embodiment. [Figure 3] FIG. 3 is a diagram illustrating an example of the configuration of the information processing device according to the embodiment. [Figure 4] FIG. 4 is a diagram illustrating an example of a sensor information database according to the embodiment. [Figure 5] FIG. 5 is a diagram illustrating an example of a rent information database according to the embodiment. [Figure 6]FIG. 6 is a flowchart showing the procedure of the estimation process according to the embodiment. [Figure 7] FIG. 7 is a flowchart showing an example (1) of a determination process procedure according to the embodiment. [Figure 8] FIG. 8 is a flowchart showing an example (2) of the determination process procedure according to the embodiment. [Figure 9] FIG. 9 is a flowchart showing an example (3) of the determination process procedure according to the embodiment. [Figure 10] FIG. 10 is a flowchart showing an example (4) of the determination process procedure according to the embodiment. [Figure 11] FIG. 11 is a flowchart showing the procedure of the price determination process according to the embodiment. [Figure 12] FIG. 12 is a block diagram showing an example of the hardware configuration of the information processing device 100 according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0013] An example of a mode for implementing a price determination device, a price determination method, and a price determination program (hereinafter referred to as an "embodiment") will be described in detail below with reference to the drawings. Note that the price determination device, the price determination method, and the price determination program are not limited to this embodiment. Furthermore, the same components in the following embodiments will be assigned the same reference numerals, and duplicated explanations will be omitted.

[0014] [Embodiment] 1. Introduction In apartments and condominiums, noise can be a nuisance or cause problems. For this reason, methods are being adopted such as presenting the noise situation in the target property along with property information, and allowing people to view the property to understand the surrounding environment (for example, traffic conditions and the situation of neighboring houses).

[0015] However, it is also true that you cannot know how much a room will be affected by noise until you actually live in it. For example, a room may be quiet during the day, but you may be bothered by noise from the next room at night. These subtle effects can often only be known by actually living in the property, and it is difficult to grasp this just through property information or viewings.

[0016] For this reason, even if information about the noise situation is added to property information or viewings are conducted, the information obtained from this is only superficial, and it tends to be excluded from consideration when choosing a property. As a result, problems such as noise nuisances and noise troubles can easily occur after moving in.

[0017] In particular, problems are likely to arise when people are faced with situations where they are bothered by noise despite paying high rent. In this way, noise problems and rent issues are inextricably linked.

[0018] Therefore, if the rent charged to the occupants of rooms that are already occupied and are deemed to be noise sources is increased, and the rent is increased without any upper limit depending on the severity of the noise, it is thought that the occupants will either live peacefully or eventually move out. Also, for residents who normally live peacefully, by providing an incentive such as a reduction in the rent charged, it will be possible to encourage them to continue living peacefully in the future.

[0019] Furthermore, whether it is a rental property or a condominium, if the selling price (rent for rental, selling price for condominium) can be determined based on the noise situation, even if the buyer is bothered by noise after moving in, they can compromise on the fact that it will be cheaper in return, which means that it is more likely that problems will be avoided.

[0020] Furthermore, the basis of managing an apartment complex is the desire to create a comfortable living space where people who can live quietly can live there without being bothered by noise from others.In order to realize this desire, it is thought that information processing that associates noise conditions with price, as described above, is effective.

[0021] The present invention is based on the idea described above and determines the price of a residential room based on an index value indicating the sound intensity in the residential room in a specific apartment building. The following describes the system configuration for performing information processing according to this embodiment. Note that a residential room refers to a room exclusively used for human habitation.

[0022] [2. System Configuration] Fig. 1 is a diagram showing a system configuration according to an embodiment, in which an information processing system 1 is shown as an example of a system in which information processing according to an embodiment is performed.

[0023] According to the example of FIG. 1, the information processing system 1 includes an apartment building APn that is the target of information processing according to the embodiment, a terminal device 30, and an information processing device 100.

[0024] (About apartment buildings and sensors) In this embodiment, the apartment complex APn is a rental condominium (or an apartment), but it may also be a condominium for sale. When expressing the apartment complex APn in a distinctive manner, an arbitrary number is used for "n." Figure 1 shows an apartment complex AP1 as an example of the apartment complex APn.

[0025] Furthermore, a predetermined sensor is installed in advance in each of the residential rooms included in the apartment complex APn. The predetermined sensor may be any sensor capable of detecting information related to sound in the residential room in which it is installed. In this embodiment, the sensor is a sensor capable of detecting vibration acceleration in the residential room. Furthermore, the sensor may be installed in multiple locations for each residential room.

[0026] According to the example of Fig. 1, a sensor SCn1x is installed as a predetermined sensor SC in a residential room RMn1 present in an apartment building APn. As a more specific example, Fig. 1 shows an example in which a sensor SC11x is installed in a residential room RM11 present in an apartment building AP1. There may be multiple sensors SC11x installed in the residential room RM11, and by applying an arbitrary value to "x", each sensor may be distinguished from the others by being referred to as, for example, sensor SC111, sensor SC112, etc.

[0027] 1 shows an example in which a sensor SCn2x is installed as a predetermined sensor SC in a residential room RMn2 in an apartment building APn. As a more specific example, FIG. 1 shows an example in which a sensor SC12x is installed in a residential room RM12 in an apartment building AP1. There may be multiple sensors SC12x installed in the residential room RM12, and by applying an arbitrary value to "x", each sensor may be distinguished from the others, such as sensor SC121, sensor SC122, etc.

[0028] Similarly, according to the example of Fig. 1, a sensor SCn3x is installed as a predetermined sensor SC in a residential room RMn3 in an apartment building APn. As a more specific example, Fig. 1 shows an example in which a sensor SC13x is installed in a residential room RM13 in an apartment building AP1. There may be multiple sensors SC13x installed in the residential room RM13, and by applying an arbitrary value to "x", each sensor may be distinguished from the others, such as sensor SC131, sensor SC132, etc.

[0029] Similarly, according to the example of Fig. 1, a sensor SCn4x is installed as a predetermined sensor SC in a residential room RMn4 in an apartment building APn. As a more specific example, Fig. 1 shows an example in which a sensor SC14x is installed in a residential room RM14 in an apartment building AP1. There may be multiple sensors SC14x installed in the residential room RM14, and by applying an arbitrary value to "x", each sensor may be distinguished from the others, such as sensor SC141, sensor SC142, etc.

[0030] (About terminal devices) The terminal device 30 is an information processing terminal used by an administrator who manages the apartment complex APn. The terminal device 30 is, for example, a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), etc.

[0031] The manager here may be a management company that manages the apartment complex APn, a real estate agent that introduces the apartment complex APn to a customer and charges the customer a brokerage fee when a contract is concluded, or even the landlord of the apartment complex APn. For this reason, a terminal device 30 exists for each different manager. For example, if the manager is a real estate agent, the real estate agent can access the information processing device 100 using the terminal device 30, receive a price proposal from the information processing device 100, and then propose property information at that price to the customer.

[0032] (About information processing devices) The information processing device 100 is a device that performs information processing according to the embodiment and is an example of a determination device. Specifically, a price determination program according to the embodiment is installed in the information processing device 100, and information processing for price determination is performed according to a method (price determination method) corresponding to the control of the program.

[0033] For example, the information processing device 100 determines whether a residential room that is currently occupied is subject to a rent increase by combining four rent increase criteria: whether the room is a noise source, the number of times it has been a noise source within a specified period, the duration of the noise when it was a noise source, and the time of day when the noise occurred when it was a noise source. As described below, the rent increase criteria are used to determine which rooms among the residential rooms generate more abusive noise, with the aim of imposing penalties on residents who generate noise that is considered to be abusive. Meanwhile, the information processing device 100 can determine that a residential room that was not a noise source or that has been a noise source in the past but whose noise was not deemed to be abusive is subject to a rent reduction. The information processing device 100 then determines the rent to be charged to each resident of the residential room based on the determination results.

[0034] Furthermore, for example, the information processing device 100 determines the price of vacant residential rooms that are the subject of a transaction (for example, rooms in a rental apartment or condominium that are currently accepting tenants) from the time series data of the sound intensity in the room, regardless of whether the room is a noise source like an occupied room.

[0035] [3. Identification of noise sources] As described above, when determining whether each occupied room among the residential rooms in one apartment complex APn is subject to a rent increase or a rent decrease, a room that has generated a sound loud enough to be considered noise during a processing period (e.g., a specific six-month period) is estimated, that is, the occupied room of the noise source. Next, an estimation process for estimating the occupied room of the noise source will be described with reference to FIG. 2. FIG. 2 is a diagram showing an example of the estimation process of the information processing according to the embodiment. The estimation process is performed by the information processing device 100, and sensor information is used.

[0036] 2, an example of the estimation process according to the embodiment will be described using rooms RM12 and RM13, which are occupied rooms in the apartment complex AP1, as examples. For simplicity of explanation, attention is focused on the two rooms in Fig. 2, but the estimation process described here can be applied regardless of the number of occupied rooms in one apartment complex APn.

[0037] Before describing an example of the estimation process, the sensors installed in each of rooms RM12 and RM13 and their positional relationship will be described. An example of the positional relationship of the sensors is shown in Fig. 2(a). As described above, the sensors referred to here are sensors capable of detecting vibration acceleration.

[0038] As shown in Fig. 2, rooms RM12 and RM13 have the same floor plan. In this way, in rooms with the same or similar floor plans, it is preferable that sensors be installed in the same positional relationship.

[0039] According to the example of Fig. 2(a), a sensor SC121 is installed at a predetermined position inside room RM12, and a sensor SC131 is installed at a predetermined position inside room RM13 corresponding to this predetermined position. Also, in the example of Fig. 2, a sensor SC122 is installed on the left side wall 1 of room RM12, and a sensor SC132 is installed on the left side wall 1 on the room RM13 side, which corresponds to the left side wall 1. Also, in the example of Fig. 2, a sensor SC123 is installed on the right side wall 2 of room RM12, and a sensor SC133 is installed on the right side wall 2 on the room RM13 side, which corresponds to the right side wall 2.

[0040] 2, a sensor SC124 is installed at a predetermined position on the ceiling or floor of room RM12, and a sensor SC134 is installed on the ceiling or wall of room RM13 corresponding to this predetermined position. Also, in the example of Fig. 2, a sensor SC125 is installed on the balcony of room RM12, and a sensor SC135 is installed on the balcony of room RM13.

[0041] As shown in Fig. 2(a), multiple sensors are installed in each occupied room, and the information processing device 100 estimates the occupied room from which the noise is generated using sensor information (vibration acceleration) detected by each sensor in each room. For example, the information processing device 100 acquires, for each occupied room, a vibration level calculated from the vibration acceleration detected by each sensor in the occupied room, and generates waveform information indicating changes in the vibration level over time based on the acquired vibration level. The information processing device 100 then compares the vibration waveforms for each occupied room to estimate the occupied room from which the noise is generated.

[0042] Specifically, the information processing device 100 determines whether or not there is an occupied room in which a sound with a vibration level exceeding a predetermined threshold has been generated based on the waveform information.The information processing device 100 then compares the waveform information corresponding to the vibration level exceeding the predetermined threshold to estimate the occupied room in which a sound with a vibration level exceeding the predetermined threshold was generated earliest among the occupied rooms in which a sound with a vibration level exceeding the predetermined threshold has been generated as the occupied room that is the noise source.A more specific example of this point is shown using Figure 2(b).

[0043] The upper diagram of Fig. 2(b) shows an example of waveform information generated from the vibration level of each sensor on the room RM12 side. Specifically, the upper diagram of Fig. 2(b) shows an example of waveform WV121 as waveform information generated based on the vibration level calculated from each vibration acceleration detected over time by sensor SC121 in room RM12. The upper diagram of Fig. 2(b) also shows an example of waveform WV123 as waveform information generated based on the vibration level calculated from each vibration acceleration detected over time by sensor SC123 in room RM12. The upper diagram of Fig. 2(b) also shows an example of waveform WV125 as waveform information generated based on the vibration level calculated from each vibration acceleration detected over time by sensor SC125 in room RM12.

[0044] Meanwhile, the lower diagram of Fig. 2(b) shows an example of waveform information generated from the vibration level from each sensor on the room RM13 side. Specifically, the lower diagram of Fig. 2(b) shows an example of waveform WV131 as waveform information generated based on the vibration level calculated from each vibration acceleration detected over time by sensor SC131 in room RM12. The lower diagram of Fig. 2(b) also shows an example of waveform WV133 as waveform information generated based on the vibration level calculated from each vibration acceleration detected over time by sensor SC133 in room RM13. The lower diagram of Fig. 2(b) also shows an example of waveform WV135 as waveform information generated based on the vibration level calculated from each vibration acceleration detected over time by sensor SC135 in room RM13.

[0045] The horizontal axis of each waveform information indicates the time for each date, and the vertical axis indicates the vibration level.

[0046] Here, sensor SC125 is installed outside the room RM12 on a balcony or other location to detect vibration acceleration caused by factors of the surrounding environment (e.g., traffic conditions and the conditions of neighboring houses) around the room RM12. Similarly, sensor SC135 is installed outside the room RM13 on a balcony or other location to detect vibration acceleration caused by factors of the surrounding environment (e.g., traffic conditions and the conditions of neighboring houses). Therefore, the information processing device 100 excludes waveforms WV125 and WV135 from the estimation process to avoid erroneously estimating the room RM13 as the noise source by considering vibration acceleration caused by factors of the surrounding environment as the vibration acceleration of sound generated inside the room. In other words, the information processing device 100 estimates which of rooms RM12 and RM13 is the occupant room of the noise source by comparing the waveform information shown in FIG. 2(b) with waveform information generated from vibration acceleration derived from sensors installed inside the room.

[0047] The sensors installed in the room include sensors SC121 to SC124 on the room RM12 side and sensors SC131 to SC134 on the room RM13 side, but FIG. 2(b) illustrates sensors SC121 and SC123, and sensors SC131 and SC132.

[0048] In this situation, in the example of FIG. 2(b), the vibration level of sound that can be considered noise is, for example, 70 db or higher, and thus 70 db is set as the threshold. Then, based on the waveform information WV121, WV123, WV131, and WV132, the information processing device 100 determines whether or not any of the rooms RM12 and RM13 has generated a sound with a vibration level exceeding the threshold of 70 db. According to the example of FIG. 2(b), all of the waveform information WV121, WV123, WV131, and WV132 contain peaks indicating a vibration level exceeding 70 db. Therefore, the information processing device 100 determines that any room has generated a sound with a vibration level exceeding the threshold of 70 db, and that these rooms are both rooms RM12 and RM13.

[0049] Next, the information processing device 100 compares the waveform information WV121, WV123, WV131, and WV132, each of which includes a peak indicating a vibration level exceeding the threshold of 70 db. The information processing device 100 then estimates the room in which the sound with a vibration level exceeding the threshold of 70 db was generated earliest as the room where the noise source resides. In the example of FIG. 2(b), among the peaks included in the waveform information WV121 that indicate a vibration level exceeding the threshold of 70 db, the earliest detected peak is peak PK21. Furthermore, among the peaks included in the waveform information WV123 that indicate a vibration level exceeding the threshold of 70 db, the earliest detected peak is peak PK23. Furthermore, among the peaks included in the waveform information WV131 that indicate a vibration level exceeding the threshold of 70 db, the earliest detected peak is peak PK31. Furthermore, among the peaks included in the waveform information WV132 that indicate a vibration level exceeding the threshold of 70 db, the earliest detected peak is peak PK33.

[0050] Comparing these peaks by detection time, peak PK31 is the earliest at time t1 on February 1, 2020, followed by peak PK32, peak PK23, and peak PK21. This indicates that when noise occurred at position PT13 in room RM13, the sound vibrations were first detected by sensor SC131, which is located closest to the room, then by sensor SC132, which is located next closest to the room. The vibrations then propagate from wall 1 to wall 2, then by sensor SC123 in room RM12, and finally by sensor SC121. In this way, by comparing waveform information WV121, WV123, WV131, and WV132, information processing device 100 understands the propagation status of sound vibrations and identifies the room in which the sound with a vibration level exceeding the threshold of 70 dB occurred earliest. According to the example of Figure 2(b), the information processing device 100 can identify room RM13 as the room in which sound with a vibration level exceeding the threshold of 70 db occurred at the earliest timing (time t1 on February 1, 2020), and as a result, it estimates room RM13 as the room in which the noise source resides.

[0051] 4. Configuration of Information Processing Device Next, an information processing device 100 according to an embodiment will be described with reference to Fig. 3. Fig. 3 is a diagram showing an example of the configuration of the information processing device 100 according to an embodiment. As shown in Fig. 3, the information processing device 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

[0052] (Regarding the communication unit 110) The communication unit 110 is realized by, for example, a network interface card (NIC), etc. The communication unit 110 is connected to a network by wire or wirelessly, and transmits and receives information to and from, for example, the terminal device 30 and the sensor SC.

[0053] (Regarding the storage unit 120) The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk, an optical disk, etc. The storage unit 120 has a sensor information database 121 and a rent information database 122.

[0054] (About the sensor information database 121) The sensor information database 121 stores various information related to sensor information detected by sensors installed in residential rooms. An example of the sensor information database 121 according to the embodiment is shown in Fig. 4. The sensor information database 121 shown in Fig. 4 has items such as "Building ID (Identifier)", "Room ID (Identifier)", "Room Vacancy Status", "Sensor ID (Identifier)", "Sensor Information", and "Waveform Information".

[0055] "Building ID" indicates identification information for identifying an apartment building included in the information processing system 1. "Room ID" indicates identification information for identifying a residential room in the apartment building indicated by the "Building ID." "Vacancy status" is information indicating whether the residential room indicated by the "Room ID" is occupied or vacant with no tenant.

[0056] "Sensor ID" indicates identification information for identifying the sensor SC installed in the residential room indicated by "Room ID." "Sensor information" indicates sensor information (e.g., vibration acceleration) detected by the sensor SC indicated by "Sensor ID." Note that the "sensor information" may be further associated with location information where the sensor SC is installed. "Waveform information" is information indicating changes over time in vibration level calculated from the "sensor information."

[0057] That is, the example of FIG. 4 shows an example in which sensors SC111, SC112, SC113, SC114, and SC115 are installed in occupied room RM11, which is one of the residential rooms in apartment complex AP1 that has already been occupied.

[0058] In addition, the example of FIG. 4 shows an example in which, for example, sensor SC111 detects sensor information #111 over time, and waveform information #111 is generated from this vibration acceleration.

[0059] In the example of FIG. 4, the sensor information and waveform information are conceptually represented using "#111" etc., but in reality, valid values ​​and graphs indicating these are registered.

[0060] (About Rent Information Database 122) The rent information database 122 stores various information related to rent. An example of the rent information database 122 according to this embodiment is shown in Fig. 5. The rent information database 122 shown in Fig. 5 has fields such as "Target period," "Building ID (Identifier)," "Room ID (Identifier)," "Estimation result," "Rent increase condition determination result," "Rent decrease condition determination result," and "Rent."

[0061] The "target period" indicates a period targeted by the information processing according to the embodiment. In the present embodiment, the period targeted by the information processing according to the embodiment is assumed to be six months prior to the timing (due date) at which the information processing is performed. That is, the information processing device 100 performs a determination process to determine whether to increase or decrease the rent for the next six months, for example, using index values ​​obtained from sensor information for a six-month period from January to June. The information processing device 100 also performs a determination process to determine whether to increase or decrease the rent for the next six months, for example, using index values ​​obtained from sensor information for a six-month period from July to December.

[0062] "Building ID" indicates identification information for identifying an apartment building included in the information processing system 1. "Room ID" indicates identification information for identifying a dwelling room present in the apartment building indicated by the "Building ID".

[0063] The "estimated result" indicates the estimation result of whether or not the room is an occupied room of the noise source. For example, a "room ID" that identifies an occupied room that has been estimated as a noise source is associated with information indicating that the room has been estimated as a noise source and the date and time when the sound that led to the room being estimated as a noise source was generated. On the other hand, a "room ID" that identifies an occupied room that has not been estimated as a noise source is associated with information indicating that the room was not estimated as a noise source.

[0064] "Rent increase condition determination result" is information indicating whether or not the room has been determined to be an occupied room subject to a rent increase as a result of the determination process described in Figures 7 to 10. Also, "Rent reduction condition determination result" is information indicating whether or not the room has been determined to be an occupied room subject to a rent reduction as a result of the determination process described in Figures 7 to 10.

[0065] "Rent" indicates the rent determined based on the "Rent increase condition determination result" or the "Rent decrease condition determination result."

[0066] That is, the example in Figure 5 shows an example in which estimation processing was performed using sensor information from the six-month period from January to June 2020, and the occupied room RM11 was estimated to be the noise source among the residential rooms in apartment building AP1.

[0067] 5 shows an example in which a determination process is performed on occupied room RM11, which is estimated to be a noise source, to determine whether the rent increase condition is met and a determination process is performed on occupied room RM11 to determine whether the rent decrease condition is met, resulting in a determination result #111 indicating that the rent increase condition is met. Also shown is an example in which rent #11 is determined as the rent to be charged to the resident of occupied room RM11 based on the results of these determinations.

[0068] 5 shows an example in which judgment result #122 was obtained for occupied room RM12, which was not estimated to be a noise source, indicating that the rent reduction condition was met. Based on this judgment result, rent #12 was determined as the rent to be charged to the resident of occupied room RM12.

[0069] (Regarding the control unit 130) 3, the control unit 130 is realized by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like executing various programs (for example, a price determination program according to the embodiment) stored in a storage device inside the information processing device 100 using RAM as a work area. The control unit 130 is also realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0070] As shown in Fig. 3, control unit 130 has an acquisition unit 131, an estimation unit 132, a determination unit 133, a decision unit 134, and a notification unit 135, and realizes or executes the functions and actions of information processing described below. Note that the internal configuration of control unit 130 is not limited to the configuration shown in Fig. 3, and may be other configurations as long as they perform the information processing described below. Furthermore, the connection relationship between each processing unit included in control unit 130 is not limited to the connection relationship shown in Fig. 3, and may be other connection relationships.

[0071] (Regarding the acquisition unit 131) The acquisition unit 131 acquires an index value indicating the sound intensity in a dwelling room located in a predetermined apartment building. For example, the acquisition unit 131 acquires an index value indicating the sound intensity in a rental property located in a predetermined rental house as a dwelling room located in the predetermined apartment building.

[0072] Furthermore, the acquisition unit 131 acquires an index value for each dwelling room. For example, the acquisition unit 131 acquires an index value calculated from sensor information detected by a sensor installed in the dwelling room as the index value. More specifically, the acquisition unit 131 acquires a vibration level calculated from vibration acceleration detected by the sensor as the index value.

[0073] Furthermore, the acquisition unit 131 can acquire the vibration level of an occupied room among the residential rooms, and can also acquire the vibration level of a vacant room that is the subject of a transaction.

[0074] 2, the acquisition unit 131 acquires the vibration acceleration detected by each sensor CS installed in each of the rooms RM12 and RM13 from the sensor CS. For example, the acquisition unit 131 may acquire the vibration acceleration each time a detection is performed as the sensor SC continuously performs detection over time, or may acquire the vibration acceleration for a predetermined period of time all at once. The acquisition unit 131 also stores the vibration acceleration, which is the acquired sensor information, in the sensor information database 121.

[0075] (Regarding the estimation unit 132) The estimation unit 132 estimates which of the occupied rooms is the noise source based on waveform information that is generated for each occupied room from the index value in that occupied room and that indicates a time-series change in vibration level. For example, the estimation unit 132 estimates which of the occupied rooms is the noise source by comparing waveform information generated for each occupied room with waveform information generated from index values ​​derived from sensors installed in that occupied room.

[0076] As a specific example, when the estimation unit 132 determines based on the waveform information that there is an occupied room in which a sound with a vibration level exceeding a predetermined threshold has been generated, the estimation unit 132 compares the waveform information corresponding to the vibration level exceeding the predetermined threshold and estimates the occupied room in which a sound with a vibration level exceeding the predetermined threshold was generated earliest among the occupied rooms in which a sound with a vibration level exceeding the predetermined threshold was generated as the occupied room of the noise source. The example in Fig. 2 shows an example in which the estimation unit 132 estimates room RM13 as the occupied room of the noise source through this estimation process.

[0077] (Regarding the determination unit 133) The determination unit 133 determines which of the candidate rent change modes is the target for each occupied room, based on the estimation result by the estimation unit 132. For example, when the occupied room of a noise source is estimated by the estimation unit 132, the determination unit 133 determines whether the occupied room of the noise source is subject to a rent increase based on whether the vibration status indicated by the waveform information corresponding to the occupied room of the noise source satisfies a predetermined condition.

[0078] For example, if the number of times that the room where the noise source is located is estimated to be the noise source in a predetermined period exceeds a predetermined number, the determination unit 133 determines that the room where the noise source is located is subject to a rent increase.

[0079] Furthermore, if the maximum vibration level of the vibration levels of the sound generated in the room where the noise source resides exceeds a predetermined threshold, the determination unit 133 determines that the room where the noise source resides is subject to a rent increase.

[0080] In addition, if the average vibration level obtained by averaging the vibration levels of the sounds generated in the room where the noise source is located exceeds a predetermined threshold, the judgment unit 133 judges that the room where the noise source is located is subject to a rent increase.

[0081] Furthermore, if the sound generated in the room where the noise source resides and has a vibration level exceeding a predetermined threshold continues for a predetermined period of time, the determination unit 133 determines that the room where the noise source resides is subject to a rent increase. For example, if the noise that caused the noise source to be estimated as a noise source continues for a predetermined period of time, the determination unit 133 determines that the room where the noise source resides is subject to a rent increase.

[0082] Furthermore, if a sound generated in the room of the noise source with a vibration level exceeding a predetermined threshold occurred during the nighttime hours, the determination unit 133 determines that the room of the noise source is subject to a rent increase. For example, if the noise that caused the noise source to be estimated as a noise source occurred during the nighttime hours, the determination unit 133 determines that the room of the noise source is subject to a rent increase.

[0083] On the other hand, the judgment unit 133 judges, as subject to a rent reduction, an occupied room that has not been estimated as a noise source during a specified period, or an occupied room that has been estimated as a noise source during a specified period but has not been determined as subject to a rent increase in the above-mentioned judgment process.

[0084] (Regarding the decision unit 134) The determination unit 134 determines the price of the residential room based on the index value acquired by the acquisition unit 131. For example, when an index value indicating the sound intensity of a rental property in a specific rental house is acquired, the determination unit 134 determines the rent of the rental property based on this index value.

[0085] Furthermore, the determination unit 134 determines the price of each dwelling room based on the index value of the dwelling room. For example, the determination unit 134 determines the rent for the dwelling room based on the vibration level in the dwelling room. For example, when the vibration level in the dwelling room that is already occupied is acquired, the determination unit 134 determines the rent for the previous dwelling room based on the vibration level in the dwelling room.

[0086] In this case, the determination unit 134 determines the rent for each occupied room according to the change mode indicated by the determination result by the determination unit 133. For example, if the determination unit 133 determines that the occupied room of the noise source is subject to a rent increase, the determination unit 134 determines a price that is a predetermined amount higher than the current rent as the rent to be charged to the resident of the occupied room of the noise source. On the other hand, if there is an occupied room among the occupied rooms that has been determined to be subject to a rent reduction, the determination unit 134 determines a predetermined amount lower than the current rent of the occupied room determined to be subject to a rent reduction as the rent to be charged to the resident of that occupied room.

[0087] Furthermore, when the vibration level of the vacant room that is the subject of the transaction is acquired, the determination unit 134 determines the price of the vacant room based on the vibration level of the vacant room. For example, the determination unit 134 determines the price of the vacant room according to the noise situation determined based on waveform information that is generated for each vacant room from the index value of the vacant room and indicates a time-series change in the vibration level.

[0088] (Regarding the notification unit 135) The notification unit 135 notifies the manager of proposal information proposing to set the price determined by the determination unit 134 for the corresponding property. Specifically, the notification unit 135 transmits to the terminal device 30 proposal information proposing to set the price determined by the determination unit 134 for the corresponding property.

[0089] [5. Example of price determination method] From here on, a specific example of a price determination method using information processing according to an embodiment will be shown using Figures 6 to 11. Figure 6 focuses on the estimation process for estimating the room where the noise source resides, while Figures 7 to 10 focus on the determination process for determining whether to increase or decrease the rent based on the estimation results from the estimation process. Note that this determination process is performed by combining rent increase conditions and rent decrease conditions. Also, Figure 11 focuses on the determination process for determining the rent based on the determination results from the determination process.

[0090] 6 to 11 show an example in which index values ​​obtained from sensor information over a six-month period (January to June) are used to determine whether to increase or decrease the rent for the next six months (July to December), and the rent is determined based on the result of this determination. Therefore, the information processing shown in FIGS. 6 to 11 may be executed, for example, on the last day of June. Also, FIGS. 6 to 11 show an example in which rent is determined for each occupied room among the residential rooms in the apartment complex AP1 shown in FIG. 1.

[0091] [5-1. Estimation processing procedure] First, the procedure of the estimation process for estimating the room where the noise source is located will be described with reference to Fig. 6. Fig. 6 is a flowchart showing the procedure of the estimation process according to the embodiment.

[0092] First, the acquisition unit 131 acquires, for each occupied room, the vibration acceleration (time-series vibration acceleration) detected over a six-month period by each of the sensors SC installed in each occupied room (step S601).

[0093] Next, the estimation unit 132 calculates a vibration level from the vibration acceleration (step S602). Furthermore, for each occupied room, the estimation unit 132 generates a vibration waveform for each date, which is a vibration waveform for each sensor SC installed in the occupied room, based on the vibration level (step S603). Furthermore, in this state, the estimation unit 132 determines one unprocessed date from among the dates included in the six months as the date to be processed (step S604).

[0094] Next, the estimation unit 132 extracts, for each occupied room, a vibration waveform derived from a sensor installed in the room from among the vibration waveforms on the date to be processed (step S605).Then, based on the extracted waveform information, the estimation unit 132 determines whether or not there is an occupied room in which a sound with a vibration level exceeding a predetermined threshold (e.g., 70 db) has been generated (step S606).

[0095] Here, it is assumed that the estimation unit 132 determines that there is an occupied room in which a sound with a vibration level exceeding a predetermined threshold has been generated among the occupied rooms (step S606; Yes). In this case, the estimation unit 132 compares the waveform information of each occupied room for which a Yes determination has been made, thereby identifying the occupied room in which a sound with a vibration level exceeding a predetermined threshold (e.g., 70 db) has been generated at the earliest timing among the occupied rooms for which a Yes determination has been made, and estimates the identified occupied room to be the noise source (step S607a).

[0096] Next, the estimation unit 132 determines whether or not estimation processing for estimating noise generation sources on all dates included in the six months has been performed (step S608). If the estimation unit 132 determines that estimation processing for estimating noise generation sources on all dates has been performed (step S608; Yes), the estimation unit 132 ends the estimation processing. On the other hand, if the estimation unit 132 determines that there are still unprocessed dates for which estimation processing has not been performed (step S608; No), the estimation unit 132 executes the processing again from step S604.

[0097] Furthermore, the estimation unit 132 determines that there is no occupied room in which a sound with a vibration level exceeding the predetermined threshold was generated (step S606; No). In this case, the estimation unit 132 estimates that there is no room that was a noise source on the date being processed (step S607b). Next, the estimation unit 132 similarly executes step S608.

[0098] [5-2. Judgment Processing Procedure (1)] Next, the procedure of the determination process performed subsequent to the estimation process shown in FIG. 6 will be described with reference to FIG. 7. FIG. 7 is a flowchart showing an example (1) of the determination process procedure according to the embodiment. The determination process shown in FIG. 7 may be performed based on the estimation result shown in FIG. 6. Furthermore, for example, the determination process shown in FIG. 7 is performed for each occupied room based on the vibration status indicated by the waveform information corresponding to each occupied room. Furthermore, FIG. 7 shows an example in which the determination process is performed on a specific occupied room among the occupied rooms present in the apartment building AP1.

[0099] First, the determination unit 133 determines whether or not the room has been a noise source at least once in six months (step S701).

[0100] If the determination unit 133 determines that there is no record of a noise source (step S701; No), it determines that the occupied room to be processed satisfies the rent reduction condition. Furthermore, depending on the determination result, the determination unit 133 determines that the occupied room to be processed is a "room RY" that is subject to a rent reduction of T%.

[0101] On the other hand, if the determination unit 133 determines that the noise source has a track record (step S701; Yes), it determines whether the noise source is estimated to be a noise source only during daytime hours (e.g., 6:00 AM to 10:00 PM) (step S702).

[0102] Here, it is assumed that the determination unit 133 determines that the noise source is estimated only during the daytime (step S702; Yes). In this case, the determination unit 133 determines whether the estimation result of the noise source during the daytime is due to the generation of a sound with a vibration level exceeding a first threshold (for example, a threshold of 140 db) (step S703).

[0103] The purpose of the determination process in step S703 is to exclude any noise generated during the daytime hours, when residents are more active, from the rent increase target because it is deemed not to be serious. For this reason, it is preferable to set the first threshold to a general value that can be considered to be noise during the daytime hours.

[0104] If the determination unit 133 determines that the noise was a noise source during the daytime but the noise level did not exceed the first threshold (step S703; No), the determination unit 133 determines that the occupied room to be processed does not satisfy the rent increase condition, i.e., satisfies the rent decrease condition. Furthermore, depending on the determination result, the determination unit 133 designates the occupied room to be processed as "room RY," which is an occupied room subject to a rent reduction of T%.

[0105] On the other hand, when the determination unit 133 determines that a noise source is estimated because a sound with a vibration level exceeding the first threshold has been generated (step S703; Yes), the determination unit 133 determines whether the duration of the sound with the target vibration level has continued beyond a predetermined time (step S704). Specifically, the determination unit 133 determines whether the duration of the sound with a vibration level exceeding the first threshold has continued beyond a predetermined time.

[0106] The determination process in step S704 is performed with the aim of determining that temporary noise is acceptable, but continuous noise is considered to be malicious and is therefore subject to a rent increase. Therefore, if the determination unit 133 determines that the duration of sound with a vibration level exceeding the first threshold has exceeded a predetermined time (step S704; Yes), it determines that the occupied room to be processed satisfies the rent increase conditions. Furthermore, the determination unit 133 determines that the occupied room to be processed, which has been determined to satisfy the rent increase conditions based on the series of determination results up to this point, is an occupied room subject to an increase in rent of N1% as "room RX1."

[0107] On the other hand, if the determination unit 133 determines that the duration of the sound with a vibration level exceeding the first threshold does not exceed the predetermined time (step S704; No), the determination unit 133 determines that the occupied room to be processed does not satisfy the rent increase condition, i.e., satisfies the rent decrease condition. Furthermore, depending on the determination result, the determination unit 133 determines that the occupied room to be processed is a "room RY" that is subject to a rent reduction of T%.

[0108] Furthermore, it is assumed that the determination unit 133 determines that the source has not been estimated as a noise source only during the daytime hours (step S702; No). In this case, the determination unit 133 determines that the source has also been a noise source during the nighttime hours (for example, from 10 PM to 6 AM the next day) (step S705). If this determination is made, the determination unit 133 next determines whether the estimation result that the source is a noise source during the nighttime hours is due to the generation of sound with a vibration level exceeding a second threshold value (for example, 70 dB) during the nighttime hours (step S706).

[0109] The determination process in step S706 is performed with the aim of determining that even a small amount of noise is a serious noise and subject to a rent increase, since nighttime is a time when people are asleep and less active, and so even a small amount of noise is unlikely to occur. For this reason, it is preferable that the second threshold be set to a general value that can be considered to be noise during nighttime hours. At the very least, the second threshold is set to a value lower than the first threshold.

[0110] When the determination unit 133 determines that a noise source is estimated due to the occurrence of sound with a vibration level exceeding the second threshold (step S706; Yes), the determination unit 133 determines whether the duration of the sound with the target vibration level has continued beyond a predetermined time (step S704). Specifically, the determination unit 133 determines whether the duration of the sound with a vibration level exceeding the second threshold has continued beyond a predetermined time.

[0111] The determination process in step S704 is performed with the aim of determining that temporary noise, even during nighttime hours, is acceptable, but continuous noise is considered to be severe and is therefore subject to a rent increase. Therefore, if the determination unit 133 determines that the duration of sound with a vibration level exceeding the second threshold has exceeded a predetermined time (step S704; Yes), it determines that the occupied room to be processed satisfies the rent increase conditions. Furthermore, the determination unit 133 determines that the occupied room to be processed, which has been determined to satisfy the rent increase conditions based on the series of determination results up to this point, is an occupied room subject to an increase in rent of N1% as "room RX1."

[0112] On the other hand, if the determination unit 133 determines that the duration of the sound with a vibration level exceeding the second threshold does not exceed the predetermined time (step S704; No), the determination unit 133 determines that the occupied room to be processed does not satisfy the rent increase condition, i.e., satisfies the rent decrease condition. Furthermore, depending on the determination result, the determination unit 133 determines that the occupied room to be processed is a "room RY" that is subject to a rent reduction of T%.

[0113] Furthermore, if the determination unit 133 determines that the noise was a noise source during the nighttime hours but the noise level did not exceed the second threshold (step S706; No), the determination unit 133 determines that the occupied room to be processed does not satisfy the rent increase condition, i.e., satisfies the rent decrease condition. Furthermore, depending on the determination result, the determination unit 133 determines that the occupied room to be processed is a "room RY" that is subject to a rent reduction of T%.

[0114] [5-3. Judgment Processing Procedure (2)] Next, the procedure of the determination process performed subsequent to the estimation process shown in FIG. 6 will be described with reference to FIG. 8. FIG. 8 is a flowchart showing an example (2) of the determination process procedure according to the embodiment. The determination process shown in FIG. 8 may be performed based on the estimation result shown in FIG. 6. Furthermore, for example, the determination process shown in FIG. 8 is performed for each occupied room based on the vibration status indicated by the waveform information corresponding to each occupied room. Furthermore, FIG. 8 shows an example in which the determination process is performed on a specific occupied room among the occupied rooms present in the apartment building AP1.

[0115] First, the determination unit 133 determines whether or not the room has been a noise source at least once in six months (step S801).

[0116] If the determination unit 133 determines that there is no record of a noise source (step S801; No), it determines that the occupied room to be processed satisfies the rent reduction condition. Furthermore, depending on the determination result, the determination unit 133 determines that the occupied room to be processed is a "room RY" that is subject to a rent reduction of T%.

[0117] On the other hand, if the judgment unit 133 judges that the noise source has a track record (step S801; Yes), it judges whether the number of noise occurrences in the month in which the noise source was estimated to be the noise source exceeded a predetermined number (e.g., three times) (step S802).

[0118] If the determination unit 133 determines that the number of noise occurrences in the month in which the noise source was estimated does not exceed the predetermined number (step S802; No), it determines that the occupied room to be processed does not satisfy the rent increase condition, i.e., satisfies the rent decrease condition. Furthermore, depending on the determination result, the determination unit 133 determines that the occupied room to be processed is a "room RY" that is subject to a rent reduction of T%.

[0119] On the other hand, if the determination unit 133 determines that the number of noise occurrences in the month estimated to be the noise source exceeds the predetermined number (step S802; Yes), it determines whether the estimation result for each time is due to noise occurrence even during the nighttime hours (step S803). Specifically, the determination unit 133 determines whether the estimation result for each time is due to sound with a vibration level exceeding a second threshold (for example, 70 db) occurring during the nighttime hours.

[0120] If the determination unit 133 determines that the estimation result for each time is not due to noise generated during the nighttime hours (step S803; No), it determines that the occupied room to be processed does not satisfy the rent increase condition, that is, satisfies the rent decrease condition. Furthermore, depending on the determination result, the determination unit 133 determines that the occupied room to be processed is an occupied room to be reduced by T% in rent, namely, "room RY".

[0121] On the other hand, if the determination unit 133 determines that the estimation result for each time is due to noise generated during the nighttime hours (step S803; Yes), it determines that the occupied room to be processed satisfies the rent increase condition. Furthermore, the determination unit 133 designates the occupied room to be processed that has been determined to satisfy the rent increase condition based on the series of determination results up to this point as "room RX2," which is an occupied room subject to an increase in rent of N2%.

[0122] [5-4. Judgment Processing Procedure (3)] Next, the procedure of the determination process performed subsequent to the estimation process shown in FIG. 6 will be described with reference to FIG. 9. FIG. 9 is a flowchart showing an example (3) of the determination process procedure according to the embodiment. The determination process shown in FIG. 9 may be performed based on the estimation result shown in FIG. 6. Furthermore, for example, the determination process shown in FIG. 9 is performed for each occupied room based on the vibration status indicated by the waveform information corresponding to each occupied room. Furthermore, FIG. 9 shows an example in which the determination process is performed on a specific occupied room among the occupied rooms present in the apartment building AP1.

[0123] First, the determination unit 133 determines whether or not the room has been a noise source at least once in six months (step S901).

[0124] If the determination unit 133 determines that there is no record of a noise source (step S901; No), it determines that the occupied room to be processed satisfies the rent reduction condition. Furthermore, depending on the determination result, the determination unit 133 determines that the occupied room to be processed is "room RY", which is an occupied room subject to a rent reduction of T%.

[0125] On the other hand, if the judgment unit 133 judges that the noise source has a track record (step S901; Yes), it judges whether the number of noise occurrences in the month in which the noise source was estimated to be the noise source exceeded a predetermined number (e.g., 2 times) (step S902).

[0126] When the determination unit 133 determines that the number of noise occurrences in the month in which the noise source is estimated exceeds a predetermined number (step S902; Yes), the process proceeds to step S803 in FIG.

[0127] On the other hand, if the judgment unit 133 determines that the number of noise occurrences in the month in which the noise source was estimated to be the noise source does not exceed a predetermined number (for example, if the noise occurrence was one) (step S902; No), it judges whether the duration of the noise that caused the noise to be estimated to be the noise source from the time of occurrence exceeded a predetermined period of time (step S903).

[0128] Here, the determination unit 133 determines that the duration does not exceed the predetermined time (step S903; No). In this case, the determination unit 133 determines that the occupied room to be processed does not satisfy the rent increase condition, that is, satisfies the rent decrease condition. Furthermore, depending on the determination result, the determination unit 133 determines that the occupied room to be processed is a "room RY" that is subject to a rent reduction of T%.

[0129] Also, it is assumed that the determination unit 133 determines that the duration exceeds the predetermined time (step S903; Yes). In this case, the determination unit 133 determines whether the average vibration level during this predetermined time period exceeds a predetermined value (step S904).

[0130] If the determination unit 133 determines that the average vibration level does not exceed the predetermined value (step S904; No), it determines that the occupied room to be processed does not satisfy the rent increase condition, i.e., satisfies the rent decrease condition. Furthermore, depending on the determination result, the determination unit 133 determines that the occupied room to be processed is a "room RY" that is subject to a rent reduction of T%.

[0131] On the other hand, if the determination unit 133 determines that the average vibration level exceeds the predetermined value (step S904; Yes), it determines that the occupied room to be processed satisfies the rent increase condition. Furthermore, the determination unit 133 designates the occupied room to be processed, which has been determined to satisfy the rent increase condition based on the series of determination results up to this point, as "room RX3," which is an occupied room subject to an increase in rent of N3%.

[0132] [5-5. Judgment Processing Procedure (4)] Next, the procedure of the determination process performed subsequent to the estimation process shown in FIG. 6 will be described with reference to FIG. 10. FIG. 10 is a flowchart showing an example (4) of the determination process procedure according to the embodiment. The determination process shown in FIG. 10 may be performed based on the estimation result shown in FIG. 6. Furthermore, for example, the determination process shown in FIG. 10 is performed for each occupied room based on the vibration status indicated by the waveform information corresponding to each occupied room. Furthermore, FIG. 10 shows an example in which the determination process is performed on a specific occupied room among the occupied rooms present in the apartment building AP1.

[0133] First, the determination unit 133 determines whether or not the room has been a noise source at least once in six months (step S1001).

[0134] If the determination unit 133 determines that there is no record of a noise source (step S1001; No), it determines that the occupied room to be processed satisfies the rent reduction condition. Furthermore, depending on the determination result, the determination unit 133 determines that the occupied room to be processed is a "room RY" that is subject to a rent reduction of T%.

[0135] On the other hand, if the judgment unit 133 judges that the noise source has a track record (step S1001; Yes), it judges whether the number of noise occurrences in the month in which the noise source was estimated to be the noise source exceeded a predetermined number (e.g., 2 times) (step S1002).

[0136] When the determination unit 133 determines that the number of noise occurrences in the month in which the noise source is estimated exceeds a predetermined number (step S1002; Yes), the process proceeds to step S803 in FIG.

[0137] On the other hand, if the determination unit 133 determines that the number of noise occurrences in the month estimated as the noise source does not exceed the predetermined number (for example, if the number of noise occurrences is one) (step S1002; No), the determination unit 133 determines whether the estimation result for this one occurrence is due to noise occurrence during the nighttime hours (step S1003). Specifically, the determination unit 133 determines whether the estimation result for this one occurrence is due to sound with a vibration level exceeding a second threshold value (for example, 70 db) occurring during the nighttime hours.

[0138] Here, it is assumed that the determination unit 133 determines that the noise is not caused by noise generated during nighttime hours (step S1003; No). In this case, the determination unit 133 determines that the occupied room to be processed does not satisfy the rent increase condition, that is, satisfies the rent decrease condition. Furthermore, depending on the determination result, the determination unit 133 determines that the occupied room to be processed is an occupied room to be reduced by T% in rent reduction, "room RY."

[0139] Furthermore, the determination unit 133 determines that the noise was caused by noise generated during nighttime hours (step S1003; Yes). In this case, the determination unit 133 determines that the occupied room to be processed satisfies the rent increase condition. Furthermore, the determination unit 133 designates the occupied room to be processed, which has been determined to satisfy the rent increase condition based on the series of determination results up to this point, as "room RX4," which is an occupied room subject to an increase in rent of N4%.

[0140] [5-6. Price determination procedure] Next, a procedure for a price determination process for determining a property price (rent) in accordance with the determination result of the determination process will be described with reference to Fig. 11. Fig. 11 is a flowchart showing the procedure for the price determination process according to the embodiment.

[0141] First, the determination unit 134 determines one unprocessed occupied room for which the rent has not been determined among the occupied rooms for which the determination process has been performed as the occupied room to be processed (step S1101). Note that the occupied room for which the determination process has been performed here refers to an occupied room that has been determined to be one of the following: "Room RY" for which the rent is reduced by T%, "Room RX1" for which the rent is increased by N1%, "Room RX2" for which the rent is increased by N2%, "Room RX3" for which the rent is increased by N3%, or "Room RX4" for which the rent is increased by N4%.

[0142] Furthermore, the determining unit 134 determines, based on the determination result, whether the occupied room to be processed is an occupied room for which the rent is to be increased (Step S1102).

[0143] Here, the determination unit 134 determines that the occupancy room to be processed is not a occupancy room subject to an increase in rent (step S1102; No). In this case, the determination unit 134 recognizes that the occupancy room to be processed is "room RY" (step S1103) and calculates the discount amount after deducting T% of the standard rent from the current rent (step S1104). Note that the standard rent here refers to the original rent set at the time of occupancy, that is, the original property rent set at the introduction stage.

[0144] Furthermore, the determining unit 134 determines whether the discount amount calculated in step S1104 is equal to or greater than the lower limit amount (step S1105).

[0145] If the determination unit 134 determines that the discount amount is not greater than the lower limit, i.e., that the discount amount is less than the lower limit (step S1105; No), it determines the discount amount calculated in step S1104 as the rent to be charged to the resident for the next six months (step S1106a).

[0146] On the other hand, if the determination unit 134 determines that the discount amount is equal to or greater than the lower limit (step S1105; Yes), it determines the discount amount calculated in step S1104 as the rent to be charged to the resident for the next six months (step S1106b).

[0147] Furthermore, it is assumed that the determination unit 134 determines that the occupant room to be processed is a occupant room subject to an increase in rent (step S1102; Yes). In this case, the determination unit 134 recognizes that the occupant room to be processed is "room RXn" (step S1107) and calculates the surcharge amount after increasing the current rent by Nn% of the rent base amount (step S1108). Here, it is assumed that the determination result indicates "room RX1" subject to an increase in rent, the rent of which is to be increased by N1%. In this case, the determination unit 134 recognizes that the occupant room to be processed is "room RX1" in step S1107, and calculates the surcharge amount after increasing the current rent by Nn% of the rent base amount in step S1108. Furthermore, regardless of the example, if the judgment result indicates that the rent for the "room RX2" is to be increased by N2%, the determination unit 134 will recognize in step S1107 that the occupied room to be processed is "room RX2", and in step S1108 will calculate the increase amount after adding N2% of the standard rent amount to the current rent.

[0148] The determination unit 134 also determines the discount amount calculated in step S1108 as the rent to be charged to the resident for the next six months (step S1109).

[0149] Finally, the determination unit 134 determines whether rents have been determined for all of the occupied rooms for which the determination process has been performed (step S1110). If the determination unit 134 determines that rents have been determined for all of the occupied rooms (step S1110; Yes), it ends the price determination process. On the other hand, if the determination unit 134 determines that there are any unprocessed occupied rooms for which rents have not been determined (step S1110; No), it executes the process again from step S1101.

[0150] [6. Effects] So far, we have described an example of information processing by the information processing device 100 (determination device). According to the example so far, the information processing device 100 according to the embodiment acquires an index value indicating the sound intensity in a residential room present in a predetermined apartment building, and determines the price of the residential room based on the acquired index value.

[0151] For example, the information processing device 100 estimates which of the occupied rooms is a noise source based on waveform information that is generated from index values ​​for each occupied room and indicates time-series changes in vibration levels.The information processing device 100 then determines whether the occupied room estimated as the noise source is subject to a rent increase based on whether the vibration status indicated by the waveform information corresponding to the occupied room estimated as the noise source satisfies a predetermined condition, and if it determines that the room is subject to a rent increase, it determines the rent to be a price that is a predetermined amount higher than the current rent.

[0152] On the other hand, the information processing device 100 determines, as eligible for rent reduction, those occupied rooms that have not been estimated to be noise sources during a specified period, and those occupied rooms that have a history of being noise sources but are not considered to be sources of noise that are not serious enough to warrant a rent increase.

[0153] According to this information processing device 100, residents who generate noise that is considered to be malicious are penalized by increasing their rent, while residents who live quietly on a daily basis or who are not considered to be malicious are given a rent reduction as an incentive. As a result, residents who generate noise that is considered to be malicious will eventually move out, gradually creating a comfortable living space where people are not bothered by noise from others.

[0154] [7. Hardware Configuration] Next, an example of the hardware configuration of an information processing device 100 (determination device) according to an embodiment will be described. FIG. 12 is a block diagram showing an example of the hardware configuration of the information processing device 100 according to an embodiment. Referring to FIG. 12, the information processing device 100 includes, for example, a processor 801, a ROM 802, a RAM 803, a host bus 804, a bridge 805, an external bus 806, an interface 807, an input device 808, an output device 809, a storage 810, a drive 811, a connection port 812, and a communication device 813. Note that the hardware configuration shown here is an example, and some of the components may be omitted. Furthermore, the information processing device 100 may further include components other than those shown here.

[0155] (Processor 801) The processor 801 functions, for example, as an arithmetic processing device or control device, and controls the overall operation of each component or part of it based on various programs recorded in the ROM 802, RAM 803, storage 810, or removable recording medium 901.

[0156] (ROM802, RAM803) The ROM 802 is a means for storing programs to be read into the processor 801, data to be used for calculations, etc. The RAM 803 temporarily or permanently stores, for example, the programs to be read into the processor 801, and various parameters that change as appropriate when the programs are executed.

[0157] (host bus 804, bridge 805, external bus 806, interface 807) The processor 801, ROM 802, and RAM 803 are interconnected via, for example, a host bus 804 capable of high-speed data transmission. On the other hand, the host bus 804 is connected to an external bus 806, which has a relatively low data transmission speed, via, for example, a bridge 805. Furthermore, the external bus 806 is connected to various components via an interface 807.

[0158] (input device 808) Examples of the input device 808 include a mouse, keyboard, touch panel, button, switch, and lever. Furthermore, a remote controller (hereinafter referred to as a remote control) capable of transmitting control signals using infrared rays or other radio waves may also be used as the input device 808. The input device 808 also includes an audio input device such as a microphone.

[0159] (output device 809) The output device 809 is a device capable of visually or audibly notifying the user of acquired information, such as a display device such as a CRT (Cathode Ray Tube), LCD, or organic EL, an audio output device such as a speaker or headphones, a printer, a mobile phone, a facsimile, etc. The output device 809 according to this embodiment also includes various vibration devices capable of outputting tactile stimuli.

[0160] (Storage 810) The storage 810 is a device for storing various types of data. For example, a magnetic storage device such as a hard disk drive (HDD), a semiconductor storage device, an optical storage device, or a magneto-optical storage device may be used as the storage 810.

[0161] (Drive 811) The drive 811 is a device that reads information recorded on a removable recording medium 901 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, or writes information to the removable recording medium 901 .

[0162] (Connection port 812) The connection port 812 is a port for connecting an external device 902, such as a Universal Serial Bus (USB) port, an IEEE1394 port, a Small Computer System Interface (SCSI), an RS-232C port, or an optical audio terminal.

[0163] (Communication device 813) The communication device 813 is a communication device for connecting to a network, such as a communication card for wired or wireless LAN, Bluetooth (registered trademark), or WUSB (Wireless USB), a router for optical communication, a router for ADSL (Asymmetric Digital Subscriber Line), or a modem for various types of communication.

[0164] (Removable recording medium 901) The removable recording medium 901 is, for example, a DVD medium, a Blu-ray (registered trademark) medium, an HD DVD medium, various semiconductor storage media, etc. Of course, the removable recording medium 901 may also be, for example, an IC card equipped with a contactless IC chip, or an electronic device.

[0165] (External connection device 902) The externally connected device 902 is, for example, a printer, a portable music player, a digital camera, a digital video camera, or an IC recorder.

[0166] The storage unit 120 according to the embodiment is realized by the ROM 802, the RAM 803, and the storage 810. The control unit 130 according to the embodiment, which is realized by the processor 801, reads out and executes each control program that realizes the acquisition unit 131, the estimation unit 132, the determination unit 133, the decision unit 134, and the notification unit 135 from the ROM 802, the RAM 803, etc.

[0167] [8. Other] Of the above processes, all or part of the processes described as being performed automatically may be performed manually. Furthermore, all or part of the processes described as being performed manually may be performed automatically using known methods. Furthermore, the information, including the processing procedures, specific names, various data, and parameters shown in the above documents and drawings, may be changed as desired unless otherwise specified. For example, the various information shown in each drawing is not limited to the information shown.

[0168] Furthermore, the components of each device shown in the figure are functional concepts and do not necessarily have to be physically configured as shown. In other words, the specific form of distribution and integration of each device is not limited to that shown. Furthermore, all or part of each component may be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc. Furthermore, each of the processes described above may be executed in appropriate combinations within a range that does not contradict each other.

[0169] The above describes in detail the embodiments of the present application based on several drawings, but these are merely examples, and the present invention can be implemented in other forms that include the embodiments described in the Disclosure of the Invention section and that have been modified and improved in various ways based on the knowledge of those skilled in the art. [Explanation of symbols]

[0170] SC Sensor 1. Information Processing Systems 30 Terminal Equipment 100 Information processing device 120 Storage section 121 Sensor Information Database 122 Rent Information Database 130 control section 131 Acquisition Department 132 Estimation Department 133 Judgment section 134 Decision Section 135 Notification Department

Claims

1. an acquisition unit that acquires an index value indicating the intensity of sound generated in an occupied room among residential rooms present in a specified apartment building; a determination unit that determines, for each of the occupied rooms, which of the candidate rent change modes the room is subject to, based on an estimation result of whether or not any of the occupied rooms is a noise source room, based on the index value acquired by the acquisition unit; and a determination unit that determines the rent of each of the occupancy rooms according to the change state indicated by the determination result by the determination unit; and When the occupancy room of the noise source is estimated among the occupancy rooms, the determination unit determines whether or not the occupancy room of the noise source is subject to a rent increase based on the index value corresponding to the occupancy room of the noise source, When the determination unit determines that the room where the noise source is located is subject to a rent increase, the determination unit determines a price that is a predetermined amount higher than the current rent as the rent to be charged to the resident of the room where the noise source is located. A determination device characterized in that:

2. The acquisition unit acquires, as the index value, a vibration level calculated from a vibration acceleration detected by a sensor installed in the living room.

2. The device according to claim 1, wherein the first and second inputs are input to the determination unit.

3. The acquisition unit acquires the vibration level due to a sound generated in the living room.

3. The device according to claim 2, wherein the determining unit is a first determining unit.

4. an estimation unit that estimates an occupied room of the noise source among the occupied rooms based on waveform information that indicates a time-series change in the vibration level, the waveform information being generated from the index value in each of the occupied rooms; Has, The determination unit determines, for each occupied room, which of the candidate rent change modes is the target, based on the estimation result by the estimation unit.

4. The device according to claim 3, wherein the first and second inputs are input to the determination unit.

5. When it is determined based on the waveform information that there is an occupied room among the occupied rooms in which a sound with a vibration level exceeding a predetermined threshold has been generated, the estimation unit compares waveform information corresponding to the vibration level exceeding the predetermined threshold, and estimates that the occupied room in which a sound with a vibration level exceeding the predetermined threshold was generated at the earliest timing is the occupied room of the noise source, among the occupied rooms in which a sound with a vibration level exceeding the predetermined threshold has been generated, When the estimation unit estimates the occupancy room of the noise source, the determination unit determines whether the occupancy room of the noise source is subject to a rent increase based on whether the vibration status indicated by the waveform information corresponding to the occupancy room of the noise source satisfies a predetermined condition.

5. The device according to claim 4, wherein:

6. The determination unit determines whether the room where the noise source is located is subject to a rent increase based on whether a sound generated in the room where the noise source is located and has a vibration level exceeding a predetermined threshold occurred during a nighttime period.

6. The device according to claim 5, wherein:

7. The determination unit determines, among the occupancy rooms, those that have not been estimated as noise sources within a predetermined period, or those that have not been determined as being subject to a rent increase, as being subject to a rent reduction; If there is a resident room determined to be a target for rent reduction among the resident rooms, the determination unit determines a price obtained by subtracting a predetermined amount from the current rent of the resident room determined to be a target for rent reduction as the rent to be charged to the resident of the resident room.

7. A determination device according to claim 5 or 6.

8. A price determination method executed by a determination device, comprising: An acquisition step of acquiring an index value indicating the intensity of sound generated in an occupied room among residential rooms present in a specified apartment building; a determining step of determining, based on the index value obtained in the obtaining step, whether any of the occupied rooms is a noise source room or not, for each occupied room, which of the candidate rent change modes the occupied room is subject to; a determination step of determining the rent for each of the occupancy rooms according to the change state indicated by the determination result of the determination step; Including, In the determination step, when the room in which the noise source is located is estimated from among the rooms in which the noise source is located, it is determined whether or not the room in which the noise source is located is subject to a rent increase based on the index value corresponding to the room in which the noise source is located; In the determination step, when it is determined in the judgment step that the room in which the noise source resides is subject to a rent increase, a price obtained by increasing the current rent by a predetermined amount is determined as the rent to be charged to the resident of the room in which the noise source resides. A price determination method characterized by:

9. An acquisition step of acquiring an index value indicating the intensity of sound generated in an occupied room among residential rooms in a specified apartment building; a determination step of determining, based on an estimation result obtained by the index value acquisition step, whether any of the occupied rooms is a noise source, and determining, for each occupied room, which of the candidate rent change modes the room is subject to; a determination procedure for determining the rent of each of the occupancy rooms according to the change state indicated by the determination result of the determination procedure; on the computer, When the room in which the noise source is located is estimated from among the rooms in which the noise source is located, the determination step determines whether the room in which the noise source is located is subject to a rent increase based on the index value corresponding to the room in which the noise source is located; The determination step determines, when it is determined by the judgment step that the room in which the noise source resides is subject to a rent increase, a price that is a predetermined amount higher than the current rent as the rent to be charged to the resident of the room in which the noise source resides. Pricing program.

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