Abnormal sound and vibration detection system for buildings and abnormal sound and vibration detection method for abnormal sound and vibration detection system for buildings

Abstract

To accurately identify sources of noise and abnormal vibration by remotely measuring the sources of noise and abnormal vibration that may occur in a plurality of buildings and to provide appropriate advice to the managers and owners of the buildings.SOLUTION: In an abnormal sound and vibration detection system for buildings, in which a server device 300 that acquires measurement data indicating abnormal sound in a building 1 via a predetermined communication medium and analyzes sources of noise and abnormal vibration in each building and a data terminal 200 operated by a management company can communicate with each other, a collection unit 303-1 of the server device 300 collects noise and vibration levels measured in the building 1, an identification unit 303-2 identifies whether the data has been measured in any room in the building 1, and if an evaluation unit 303-3 evaluates that there is an abnormality in the measured levels, a notification unit 303-4 notifies the data terminal 200 of the management company to that effect.SELECTED DRAWING: Figure 4

Description

[Technical field]

[0001] The present invention relates to an abnormal sound and vibration detection system for a building that includes a server device that remotely collects vibration sounds measured by sensors installed in a building via a network and measurement data indicating noise, and an abnormal sound and vibration detection method for the abnormal sound and vibration detection system for a building. [Background technology]

[0002] In recent years, noise issues occurring within apartment complexes have become a major concern for both building owners and residents living in those complexes.

[0003] However, for example, the source of noise can vary depending on external factors such as the building's structure, wind direction, and whether the noise level is tolerable for the building's residents, and how it compares to environmental standards. Therefore, unless the source of noise and vibration is identified in accordance with appropriate standards, no solution can be found.

[0004] As an example of this type of system for measuring noise and vibration, the following Patent Document 1 discloses that "in order to provide an abnormal sound and vibration detection system for a building that can quickly and easily identify the source of abnormal sound without requiring large-scale equipment, this abnormal sound and vibration detection system comprises a plurality of vibration sensors 1 that measure vibrations at locations predicted to be the source of abnormal sound in the building, a sound level meter 2 that measures abnormal sounds, and an analysis device 5 to which the plurality of vibration sensors 1 and the sound level meter 2 are connected via an A / D converter 4. The analysis device 5 executes a manual mode or an automatic mode to efficiently record and save only the vibration waveforms and abnormal sound waveforms required to identify the source of the abnormal sound. This reduces the amount of data to be recorded and saved, and allows the recorded and saved abnormal sound waveforms and vibration waveforms to be displayed on a display screen, making it possible to quickly and easily identify the source of the abnormal sound." [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2009-128034 A Summary of the Invention [Problem to be solved by the invention]

[0006] However, it is rare for buildings to be equipped with sensors to identify the sources of noise and vibration from the time of construction, and it is also rare for owners to actively incorporate such measuring devices into the building design from the time of construction.

[0007] However, while the management company is able to identify the sources of abnormal vibrations and noise coming from specific rooms in the building based on reports from neighbors, it does not identify and manage vibrations and noise that are related to the structure of the building. Therefore, it has been pointed out that unless the source of the noise and abnormal vibrations can be accurately and specifically identified, appropriate advice cannot be given to the building owner or residents living in the building.

[0008] In addition, a fairly wide range of audio frequencies needs to be collected to determine whether the noise source is the use of specific electrical appliances operated by residents, or the crying of pets or infants at night, and it is difficult to determine where in the building and with what level of accuracy the sensors should be installed. Installing sensors without changing the aesthetics or structure of existing buildings will be a challenge for the future.

[0009] The present invention has been made to solve the above-mentioned problems, and provides an abnormal sound and vibration detection system for a building and an abnormal sound and vibration detection method for the system, which are capable of remotely and accurately identifying noise sources and abnormal vibration sources that may occur in a plurality of buildings and providing appropriate advice to building managers and owners by arranging network-type sensors that measure abnormal vibration sources and noise sources in common areas of buildings that make up an apartment building and managing measurement data measured by the sensors on a regular basis in a server device, without carrying out construction work that significantly changes the structure of the buildings. [Means for solving the problem]

[0010] The abnormal sound and vibration detection system for buildings according to the present invention is a system capable of communicating between a server device that acquires measurement data indicating abnormal sounds from a plurality of buildings via a predetermined communication medium and analyzes the noise source and the abnormal vibration source of each building and a data terminal operated by a management company, wherein the server device is characterized by comprising: a collection means that collects measurement data measured from a noise measuring unit disposed at a specific location based on the structure of each building that is predicted to be the source of abnormal sounds in each building and a plurality of vibration sensors that measure vibrations at said locations; an identification means that analyzes each measurement data collected by the collection means for each building and identifies the source of abnormal sound and the source of abnormal vibration of each building; an evaluation means that evaluates whether the source of abnormal sound and the source of abnormal vibration of each building identified by the identification means are correct or not; and a notification means that notifies the data terminal of advice regarding the source of abnormal sound and the source of abnormal vibration of each building based on the evaluation result by the evaluation means. Effect of the Invention

[0011] According to the present invention, possible noise sources and sources of abnormal vibrations in multiple buildings can be remotely measured, thereby accurately identifying the sources and providing appropriate advice to building managers and owners so that all residents can live peacefully. [Brief description of the drawings]

[0012] The drawings show specific embodiments of the present invention, including essential features of the invention as well as alternative and preferred embodiments. [Figure 1] 1 is a perspective view showing an example of a building to be monitored by an abnormal sound and vibration detection system for a building according to an embodiment of the present invention; [Diagram 2] FIG. 2 is a perspective view showing the configuration of the common area shown in FIG. 1. [Diagram 3] 1 is a block diagram illustrating the configuration of an abnormal sound and vibration detection system for a building according to an embodiment of the present invention. [Figure 4] 4 is a block diagram illustrating the configuration of a program loaded in a RAM of the server device shown in FIG. 3. [Diagram 5]A characteristic diagram showing the peak values ​​of measurement data under normal conditions measured by sensors in the building shown in Figure 1. [Figure 6] A characteristic diagram showing peak values ​​of measurement data measured by sensors in the building shown in Figure 1 during an abnormality. [Figure 7] 4 is a flowchart illustrating an example of an abnormal sound and vibration detection method of the abnormal sound and vibration detection system for a building according to the present embodiment. [Figure 8] 4 is a flowchart illustrating an example of an abnormal sound and vibration detection method of the abnormal sound and vibration detection system for a building according to the present embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] [First embodiment] Fig. 1 is a perspective view showing an example of a target building monitored by an abnormal sound and vibration detection system for buildings according to an embodiment of the present invention. This example shows an abnormal sound and vibration detection system for buildings that can communicate with a server device that acquires measurement data showing abnormal sounds from a plurality of buildings via a predetermined communication medium and analyzes noise sources and abnormal vibration sources in each building, and a data terminal operated by a management company.

[0014] In FIG. 1, 1 is a building constructed as an apartment building, for example having 1 to N floors, with 6×N rooms on each floor and a shared elevator EV, and a corridor 2 facing each room 3 to 8 that functions as a common area.

[0015] 3S-1, 3S-3, 3S-5, 3S-7, 3S-9, and 3S-11 are noise sensor units that are embedded in the upper part of the entrance door of each room and are constantly (except during power outages) powered by a power line not shown in the figure.

[0016] 3S-2, 3S-4, 3S-6, 3S-8, 3S-10, and 3S-12 are vibration sensors that are embedded in the upper part of the entrance door of each room, and are constantly (except during power outages) powered by a power line (not shown). Note that the outer wall of the corridor 2 of the building 1 is omitted for the sake of explanation.

[0017] Fig. 2 is a perspective view showing the configuration of the common area shown in Fig. 1. In this embodiment, a corridor 2 of a predetermined width is provided from the entrance door surface of each of the rooms 3 to 8 of the building 1, and a fire extinguisher and an evacuation route indicator are provided.

[0018] 3 is a block diagram for explaining the configuration of the abnormal sound and vibration exploration system for a building according to this embodiment. Note that the same reference numerals as those in FIG. 1 are used to denote the same components.

[0019] 3, SE1-1 to SE1-N are noise sensors that measure in decibels (dB). SE2-1 to SE2-N are vibration sensors that measure in decibels (dB). 100-1 to 100-N are relay terminals that include a receiving unit 101, a memory 102, a timer unit 103, a control unit 104, and a communication unit 105.

[0020] The receiving unit 101 receives measurement data (including noise and vibration) measured by the noise sensors SE1-1 to SE1-N and the vibration sensors SE2-1 to SE2-N. The control unit 104 includes a CPU 104-1, a ROM 104-2, and a RAM 104-3, and performs overall control of each device connected to the internal bus.

[0021] The memory 102 stores the measurement data received by the receiving unit 101 from the noise sensors SE1-1 to SE1-N and the vibration sensors SE2-1 to SE2-N with a time stamp according to time data generated by the timer unit 103.

[0022] The communication unit 105 communicates bidirectionally via a communication unit 305 of the server device 300 over the network using a predetermined protocol.

[0023] In the server device 300, a CPU 301 starts up a BIOS stored in a ROM 302 and controls input / output of each device connected to an internal bus 307. The CPU 301 also starts up a browser stored in an external memory 306 via an input / output interface (I / O) 304, connects to a network, and controls acquiring and outputting various types of information.

[0024] A program executed by the CPU 301 is loaded in the RAM 303, and various data is buffered and managed in the RAM 303. The RAM 303 is configured from an expandable memory medium.

[0025] Reference numeral 200 denotes a data terminal operated by a management company, which includes a calculation unit 201, a memory 202, a control unit 203, and a communication unit 204, and is connected to a network so as to be communicable with a server device 300. Note that the data terminal includes a display unit and an input unit such as a keyboard, which are not shown. Note that the control unit 203 includes a CPU 203-1, a ROM 203-2, and a RAM 203-3.

[0026] Fig. 4 is a block diagram for explaining the configuration of a program loaded in RAM 303 of server device 300 shown in Fig. 3. In Fig. 4, 303-1 is a collection unit that executes a process of collecting measurement data measured by noise sensors (sensors SE1-1 to SE1-N shown in Fig. 3) placed at specific locations based on the structure of each building that is predicted to be the source of abnormal noise in building 1, and a plurality of vibration sensors (sensors SE2-1 to SE2-N shown in Fig. 3) that measure vibrations at the aforementioned locations.

[0027] An identification unit 303-2 analyzes the measurement data collected by the collection unit 303-1 for each building, and executes a process of identifying the source of abnormal noise and the source of abnormal vibration in the building.

[0028] An evaluation unit 303-3 executes a process of evaluating whether the abnormal sound source and abnormal vibration source of each building identified by the identification unit 303-2 are correct or not.

[0029] A notification unit 303-4 executes a process of notifying the data terminal 200 of advice regarding the source of abnormal noise and the source of abnormal vibration in each building based on the evaluation result by the evaluation unit 303-3.

[0030] Figures 5 and 6 are characteristic diagrams showing peak values ​​of measurement data measured by sensors SE1-1 and SE2-1 of building 1 shown in Figure 1, with the vertical axis showing measurement level dB and the horizontal axis showing time (24 hours) t. Note that Figure 6, which will be described later, corresponds to a data string measured when anomalous data was detected in the noise level and vibration level, while Figure 5 shows a data string measured when living noise and vibration were permitted.

[0031] In addition, the noise level threshold is fixed at 70 dB, and the vibration level threshold is fixed at 60 dB, but the system is configured to divide the accurate time period into multiple intervals and enable switching settings to set lower thresholds at night.

[0032] [Measurement data in normal living environment] As shown in Fig. 5, when the noise and vibration are lower than the respective set thresholds, the level is tolerable for normal living except for sudden vibrations (such as earthquakes), and the evaluation unit 303-3 can evaluate that no residents of building 1 are behaving abnormally. The number of singular points in the vibration level (which differs depending on the number of family members) is evaluated based on the time of day as being mostly vibrations caused by residents opening and closing the front door.

[0033] [Measurement data in abnormal living conditions] On the other hand, as shown in FIG. 6, when the noise and vibration levels are higher than the threshold values ​​set for each, especially late at night, there are sudden vibrations and noises that are perceived as abnormal in normal life, and this is a level at which the evaluation unit 303-3 can evaluate that there is a resident in building 1 behaving abnormally.

[0034] In this embodiment, the noise levels and vibration levels detected periodically and suddenly by the server device 300 are managed as history in the external memory 306, and when the evaluation unit 303-3 evaluates that the data terminal 200 has a problem with its daily activities, the notification unit 303-4 controls to notify the data terminal 200.

[0035] 7 is a flowchart for explaining an example of an abnormal sound vibration exploration method of the abnormal sound vibration exploration system for a building according to this embodiment. Note that (1) to (19) indicate each step, and each step is realized by the CPU 301 executing a program stored in the external memory 306.

[0036] First, CPU 301 determines whether the current measurement mode is mode 1 corresponding to the test mode, or mode 2 corresponding to the main measurement mode (1). If CPU 301 determines that the measurement mode is mode 1, it sets the test mode and checks the building's sensors (2). The checks will be carried out on a building-by-building basis.

[0037] Next, CPU 301 determines whether any of the building's sensors are abnormal, for example, whether they are not outputting measurement data (3), and if it determines that the sensor is not abnormal, it ends the test mode (4) and returns to step (1).

[0038] On the other hand, if CPU 301 determines in step (3) that any of the sensors is abnormal, it notifies the management company by email (5) with, for example, the building name, room number, and text indicating that a sensor is abnormal, and ends the process.

[0039] On the other hand, if the CPU 301 determines in step (1) that the measurement mode is mode 2, it collects measurement data of noise and vibration from the building to be measured (6).

[0040] Next, in step (1), CPU 301 determines whether the current time period is late at night (7). If it determines that the current time period is not late at night, CPU 301 further determines whether the time period is morning (17). If it determines that the time period is morning, CPU 301 sets a threshold value corresponding to morning as the threshold value to be set in evaluation unit 303-3 (18), and proceeds to step (8).

[0041] On the other hand, if it is determined in step (17) that the time period is not morning, i.e., that the time period is afternoon, CPU 301 sets a threshold value corresponding to afternoon as the threshold value to be set in evaluation unit 303-3 (19), and proceeds to step (8).

[0042] On the other hand, if in step (7) CPU 301 determines that the time period is late at night, it determines (8) whether the measurement level exceeds the current threshold value, and if it determines that the threshold value is not exceeded, returns to step (6).

[0043] Meanwhile, in step (8), CPU 301 analyzes the collected measurement data for each of rooms 3 to 8 in the building, and identifies the room numbers that exceed the current threshold (9).

[0044] Next, the CPU 301 assigns a time stamp indicating the current time to the specified room number to the measurement data, and stores the data in the external memory 306 (10).

[0045] Next, the CPU 301 determines whether the current time is a preset evaluation timing (11), and if it is determined that it is not the evaluation timing, the process returns to step (6).

[0046] On the other hand, if it is determined that the current time is the preset evaluation timing, it is determined whether there is measurement data with a singularity number N of 5 or more stored in the external memory 306 (12). If it is determined that there is no measurement data with a singularity number N of 5 or more, the building name and room number are registered in the external memory 306 as the monitoring target (16), and the process is terminated.

[0047] On the other hand, if in step (12) CPU 301 determines that there is measurement data with the number of singular points N stored in external memory 306 being 5 or more, CPU 301 evaluates the identified room number as "bad" (13).

[0048] Next, CPU 301 judges whether it is time to notify evaluation information including buildings, room numbers, and measurement data that have been rated as poor from the measurement data accumulated in external memory 306 (14), and if it determines that it is time to notify, notifies the evaluation information to data terminal 200 operated by the management company via the network (15), and ends the process.

[0049] On the other hand, if it is determined in step (14) that it is not time to notify, the process returns to step (6).

[0050] [Effects of the first embodiment] According to this embodiment, possible sources of noise and abnormal vibrations in multiple buildings can be measured remotely, making it possible to accurately identify the sources, and to obtain appropriate advice from the management company in a neutral third-party position to the building managers and owners so that all residents can live peacefully.

[0051] Second Embodiment Furthermore, since vibrations occurring in any of the rooms propagate through the concrete, the sensors in each room also detect vibrations and noise. However, since it is assumed that the vibrations and noise in the room in which they are occurring will show the highest values, a configuration in which the measurement data is analyzed individually may be adopted.

[0052] [Effects of the second embodiment] This makes it possible to quickly and accurately identify rooms in a building that are generating noise or vibration. Although there may be cases where visitors other than residents knock on the doors of each room or press the doorbell as a prank, this data is stored as known voice and vibration data, making it possible to determine that it is not from a resident. [Industrial Applicability]

[0053] The server device shown in Fig. 3 may be configured to also function as a server for the contract management company of the building. This allows the real estate management company, which should be protecting the tenants, to be the first to obtain and actively use information obtained from multiple sensors installed in each building (information useful to the tenants) by connecting the sensors in the common areas of the building to the integrated circuit installation locations of the buildings and the contract management company server of the buildings via a network.

[0054] In the above embodiment, a case where a sensor for measuring vibration and noise is installed in a common area of ​​a building has been described, but a system that links with a network camera may be configured by installing a sensor on an exterior wall as a chip attached to a network camera installed on the outside. This allows the communication infrastructure in this embodiment to be substituted with an existing WIFI system, thereby reducing the economic burden of communication construction work.

[0055] The disclosure regarding the present invention described above can be summarized at least as follows.

[0056] (1) A building abnormal sound and vibration detection system capable of communicating between a server device that acquires measurement data indicative of abnormal sounds from a plurality of buildings via a predetermined communication medium and analyzes the noise source and abnormal vibration source of each building and a data terminal operated by a management company, the server device comprising: a collection means that collects measurement data measured from a plurality of sensors arranged at predetermined positions according to each room allocation in order to identify the location of the abnormal sound source and the abnormal vibration source of each building; an identification means that analyzes each measurement data collected by the collection means in correspondence with each room allocation of each building and identifies the location of the abnormal sound source and the abnormal vibration source of each building; an evaluation means that evaluates whether the measurement levels of the abnormal sound source and the abnormal vibration source measured from the positions identified by the identification means exceed predetermined threshold values; and a notification means that notifies the data terminal of advice regarding the abnormal sound source and the abnormal vibration source of each building based on the evaluation result by the evaluation means.

[0057] (2) The identification means is characterized in that it compares noise sources that exhibit specific frequencies for each structural type of building with each collected measurement data to identify sources of abnormal noise and vibration for each building.

[0058] (3) When evaluating the authenticity of the sources of abnormal noise and abnormal vibration in each building identified by the identification means, the evaluation means determines the proportion and periodicity of the sources of abnormal vibration and abnormal noise in a specific time period and evaluates whether they are malicious or not.

[0059] (4) The plurality of sensors are characterized in that they are installed on the common area side of each building, near the service doors of each room that are normally used as passageways.

[0060] (5) A memory for storing measurement data from a plurality of vibration sensors is provided in the control room of each building.

[0061] (6) The server device periodically acquires the measurement data stored in the memory.

[0062] (7) An abnormal sound and vibration detection method for a building abnormal sound and vibration detection system capable of communicating between a server device that acquires measurement data indicative of abnormal sounds from a plurality of buildings via a predetermined communication medium and analyzes noise sources and abnormal vibration sources in each building and a data terminal operated by a management company, the method comprising the steps of: in the server device, collecting measurement data measured from a plurality of sensors arranged at predetermined positions according to each room allocation in order to identify the positions of abnormal sound sources and abnormal vibration sources in each building; an identifying step of analyzing each measurement data collected in the collecting step in correspondence with each room allocation in each building to identify the positions of abnormal sound sources and abnormal vibration sources in each building; an evaluating step of evaluating whether the measurement levels of the abnormal sound sources and abnormal vibration sources measured from the positions identified in the identifying step exceed predetermined threshold values; and a notifying step of notifying the data terminal of advice regarding the abnormal sound sources and abnormal vibration sources in each building based on the evaluation results obtained in the evaluating step. [Explanation of symbols]

[0063] 1. Building 100-1~100-N Relay terminal 200 Data terminals 300 Server device 301 CPU 302 ROM 303 RAM 303-1 Collection Department 303-2 Specific part 303-3 Evaluation Department 303-4 Notification Department SE1-1~SE1-N Noise Sensor SE2-1~SE2-N Vibration Sensor

Claims

1. A system for detecting abnormal noise and vibration in buildings, which is capable of communicating with a server device that acquires measurement data indicating abnormal noises from a plurality of buildings via a predetermined communication medium and analyzes noise sources and abnormal vibration sources in each building, and a data terminal operated by a management company, The server device includes: a collection means for collecting measurement data measured by a plurality of sensors arranged at predetermined positions according to the room layout in order to identify the locations of the sources of abnormal noise and abnormal vibration in each building; an identification means for analyzing each measurement data collected by the collection means in association with each room allocation of each building, and identifying the location of an abnormal noise source and an abnormal vibration source of each building; an evaluation means for evaluating whether the measurement levels of the abnormal sound source and the abnormal vibration source measured from the position identified by the identification means exceed a predetermined threshold value; a notification means for notifying the data terminal of advice regarding abnormal noise sources and abnormal vibration sources of each building based on the evaluation results by the evaluation means; A system for detecting abnormal noise and vibration in a building, comprising:

2. The abnormal sound and vibration detection system for buildings according to claim 1, characterized in that the identification means identifies the source of abnormal sound and the source of abnormal vibration for each building by comparing a noise source that exhibits a specific frequency for each structural type of the building with each collected measurement data.

3. The abnormal sound and vibration detection system for buildings according to claim 1, characterized in that, when evaluating the authenticity of the abnormal sound and abnormal vibration sources of each building identified by the identification means, the evaluation means determines the proportion and periodicity of the abnormal vibration sources and abnormal sound sources in a specific time period to evaluate whether they are malicious or not.

4. 2. The abnormal sound and vibration detection system for buildings according to claim 1, wherein the plurality of sensors are installed on the common area side of each building, near the service doors of each room that are normally used as passageways.

5. 2. The abnormal sound and vibration detection system for buildings according to claim 1, further comprising a memory for storing measurement data from the plurality of vibration sensors in a management room of each building.

6. The server device includes:

2. The abnormal sound and vibration detection system for a building according to claim 1, wherein the measurement data stored in the memory is periodically acquired.

7. A method for detecting abnormal noise and vibration in a building, in which a server device that acquires measurement data indicating abnormal noises from a plurality of buildings via a predetermined communication medium and analyzes noise sources and abnormal vibration sources in each building and a data terminal operated by a management company can communicate with each other, In the server device, A collection step of collecting measurement data measured from a plurality of sensors arranged at predetermined positions according to each room layout in order to identify the location of the source of abnormal noise and the source of abnormal vibration in each building; an identifying step of analyzing each measurement data collected in the collecting step in association with each room allocation of each building to identify the locations of abnormal noise sources and abnormal vibration sources of each building; an evaluation step of evaluating whether the measurement levels of the abnormal sound source and the abnormal vibration source measured from the position identified in the identification step exceed a predetermined threshold value; a notification step of notifying the data terminal of advice regarding abnormal noise sources and abnormal vibration sources of each building based on the evaluation result in the evaluation step; An abnormal sound and vibration detection method for a building abnormal sound and vibration detection system comprising:

Images