Abnormality generation place determination system

Abstract

To determine a place of generation of an abnormality from the next house or from the next room.SOLUTION: The present invention relates to a determination system for determining an abnormality generation place, the system including a server 3 for collecting data measured by a sensor 2 set in both houses adjacent to each other or both rooms 61 adjacent to each other. The server 3 has determination means for comparing data measured by the sensor 2 in each house or in each room 61 and determining whether a house or a room 61 in which an abnormality happened.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a system for determining the location of an abnormality in adjacent houses or adjacent rooms. [Background technology]

[0002] When rooms or houses are adjacent to each other, the usage patterns of those using one part of the rooms may affect those using the other parts. For example, noise troubles caused by vibrations are a problem in houses, especially in apartment buildings. Patent Document 1 describes, as a measure to address such problems, a noise monitoring device for apartment buildings that issues an alarm when vibrations that become noise in adjacent rooms occur. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 08-233648

[0004] However, the noise monitoring device described in Patent Document 1 calculates the sound pressure in the room below using the vibration force on the floor calculated by a vibration acceleration sensor installed on the floor of the room and the impact sound insulation grade of the floor, but it is difficult to make an accurate judgment with a method of measuring the impact on the room below by such a calculation. In addition, there is a demand to identify the area where a problem such as a fire or an event closely related to the cause of a fire occurs, in addition to noise. Summary of the Invention [Problem to be solved by the invention]

[0005] The inventor of the present invention has come up with the present invention after thoroughly studying the above-mentioned problems. The problem to be solved by the present invention is to make it possible to determine the location of an abnormality from within an adjacent house or room. [Means for solving the problem]

[0006] In order to solve the above problems, a system for determining the location of an abnormality is provided which includes a server that collects data measured by sensors installed in both adjacent houses or both rooms, and the server is equipped with a determination means for comparing the data measured by the sensors in each house or room to determine the house or room in which the abnormality has occurred.

[0007] In addition, it is preferable that the determination means is configured to at least compare data obtained using a sensor installed in a reference house or reference room with data obtained using a sensor installed in any house or room horizontally adjacent to the reference house or reference room, and determine the house or room in which an abnormality has occurred.

[0008] In addition, it is preferable that the determination means is configured to at least compare data obtained using a sensor installed in a reference house or reference room, data obtained using a sensor installed in any house or room vertically adjacent to the reference house or reference room, and data obtained using a sensor installed in any house or room horizontally adjacent to the reference house or reference room, to determine the house or room in which an abnormality has occurred.

[0009] It is also preferable that the determination means is configured to compare a threshold value with data obtained using sensors in each house or room, and set a house or room in which a sensor whose data exceeds the threshold value is installed as a reference house or reference room.

[0010] It is also preferable that the server is provided with a counting means for counting the number of times each house or room has been determined to be an abnormality location during a predetermined period.

[0011] The sensor is a vibration sensor that measures vibration data caused by vibrations occurring in a house or room, and it is preferable that the vibration sensor has a function of sounding an alarm when it detects vibrations caused by an earthquake of a specified seismic intensity or above, and / or a function of cutting off the flow of electricity to electrical equipment installed in the room when it detects vibrations caused by an earthquake of a specified seismic intensity or above.

[0012] The sensor is a discharge detection sensor capable of measuring electrical data resulting from a discharge event occurring in an outlet or electrical wiring in a house or room, and it is preferable that the discharge detection sensor has a function of sounding an alarm when it detects a discharge event having electrical data above a predetermined level, and / or a function of cutting off the flow of electricity to electrical equipment installed in the room when it detects a discharge event having electrical data above a predetermined level.

[0013] It is preferable that the sensor includes two or more detection units each having a different detection mechanism, and the determination unit combines the data detected by the plurality of detection units to determine the location of the abnormality.

[0014] It is preferable that the server collects data measured by the sensors and performs data analysis based on the collected data, and the sensors perform data analysis based on the data they measure themselves.

[0015] It is preferable that the items analyzed by the data analysis performed by the server are different from the items analyzed by the data analysis performed by the sensor.

[0016] The items analyzed by the data analysis performed by the server are items analyzed based on data measured by the sensor over a period longer than a specified period, and it is preferable that the items analyzed by the data analysis performed by the sensor are items analyzed based on data measured by the sensor over a period shorter than the specified period.

[0017] It is preferable that the items analyzed by the data analysis performed by the server are items analyzed based on data detected by multiple sensors, and that the items analyzed by the data analysis performed by the sensor are items analyzed based on data measured by its own sensor.

[0018] It is preferable to include a relay device that relays between the sensor and the server, and the relay device collects data measured by the sensor and performs data analysis based on the collected data. Effect of the Invention

[0019] In the present invention, it is possible to determine the location of the abnormality from among neighboring houses or rooms. [Brief description of the drawings]

[0020] [Figure 1] 1 is a conceptual diagram showing how a system in an embodiment collects information from sensors installed in each room of an apartment building. [Diagram 2] 1 is a conceptual diagram showing how information is collected from sensors installed in each house by a system in an embodiment. [Diagram 3] FIG. 13 is a conceptual diagram showing an example in which a relay device is interposed between a sensor and a server. [Figure 4] FIG. 13 is a conceptual diagram showing how areas in which houses are present are separately recognized. [Diagram 5] This is a conceptual diagram showing how sensors are placed in each room of an apartment building and information is collected from the sensors to a server. Rooms D-1 to D-3 are omitted, however. [Figure 6] This is a conceptual diagram showing the positioning of each room in the apartment building shown in Figure 5. Note that it shows steps 1 to 4. [Figure 7] This is a conceptual diagram showing the positioning of each room in the apartment building shown in Figure 5. However, it shows steps 5 and 6. It shows that B-2 is more likely to be a noise generating room than C-2. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0021] The following describes an embodiment of the invention. The system for determining the location of an abnormality in this embodiment includes a server 3 that collects data measured by sensors 2 installed in both of adjacent houses 71 or both of the rooms 61. The system for determining the location of an abnormality also includes a determination means in the server 3 that compares data measured by the sensors 2 in each house 71 or each room 61 to determine the house 71 or room 61 in which the abnormality has occurred. This makes it possible to determine the location of the abnormality from among the adjacent houses 71 or rooms 61.

[0022] As can be seen from Fig. 1 and Fig. 2, the system for determining the location of an abnormality is a system including a sensor 2 that is installed in both of the neighboring houses 71 or both of the rooms 61 to contribute to the detection of the occurrence of an abnormality-related event, and a server 3. The abnormality-related events and data related thereto can include any events that can be measured by a known sensor 2, such as temperature (temperature data), humidity (humidity data), gas concentration (concentration of flammable gas, flammable gas, non-flammable gas, toxic gas, etc.), sound (data on amplitude, frequency, sound pressure, etc.), light (visible light, infrared light, ultraviolet light, etc. (data on intensity, wavelength, etc.)), odor (data on odor intensity, odor component concentration, etc.), electrical accidents (power outage, leakage, short circuit, overload, tracking, disconnection, electrical fire, etc. (data on current value, voltage value, power value, resistance value, frequency, etc.)), and vibration (vibration due to earthquake, vibration due to impact, vibration due to operation of electrical equipment, vibration due to human life, etc. (data on acceleration, amplitude, frequency, etc.)).

[0023] To give a more concrete image, a system for determining a room where noise is generated will be described here as an example of a system for determining where an abnormality is occurring. This noise-generating room determination system includes vibration sensors 2 installed in each room 61 of an apartment building 60, and a server 3 that collects vibration data measured by the vibration sensors 2. The vibration sensor 2 is capable of measuring vibrations occurring in the room 61, and the vibrations referred to here include various types such as vibrations caused by earthquakes, vibrations caused by collisions with the vibration sensor 2 or the wall on which it is installed, vibrations caused by impacts on the floor when a person falls, and vibrations caused by human activities such as walking and sitting.

[0024] The vibration sensor 2 may simply comprise a detection unit that detects vibration data and a communication unit that communicates with the server 3, but in addition to these, it may also be configured integrally with various electrical devices, such as a breaker with a seismic sensor function that has a circuit breaker unit, or a socket with a seismic sensor function that has a socket unit.

[0025] This vibration sensor 2 is installed in a position close to the floor of the room 61, and is preferably installed in the room 61 that is used as a living room where the residents mainly spend their time, a children's room, etc. For example, if an outlet with a seismic sensor that has an outlet part or a vibration sensor 2 that is stored in a case that is installed in the outlet is used, it is easy to install in such a position.

[0026] The server 3 of the embodiment collects vibration data measured by vibration sensors 2 installed in each house 71 or room 61, and is equipped with a determination means for determining the location of an abnormality based on the collected vibration data, a notification means for notifying the house 71 or room 61 that has been determined to be the location of an abnormality, a counting means for counting the number of times that each room 61 has been determined to be the location of an abnormality within a specified period, and an analysis means for analyzing the degree of impact on other rooms 61, houses 71, etc. based on the collected vibration data.

[0027] For example, the determination means determines the room from which noise is generated by comparing vibration data measured by the vibration sensor 2 in each room 61. Note that the vibration data is a measured value related to vibration, such as acceleration, amplitude, and frequency.

[0028] As a method of judgment by the judgment means, vibration data for each house 71 or room 61 can be compared, and the room 61 that measures the largest value can be judged to be the noise-generating room. However, it is preferable to make a judgment by comparing vibration data for at least a plurality of adjacent rooms 61 or houses 71 (for example, the room 61 directly above and one of the rooms 61 on the left or right). This is because the location of the abnormality can be judged with high accuracy.

[0029] It is preferable that the determination means at least compares data obtained using a sensor 2 installed in a reference house 71 or reference room 61 with data obtained using a sensor 2 installed in any house 71 or room 61 horizontally adjacent to the reference house 71 or reference room 61, and determines the house 71 or room 61 in which an abnormality has occurred.

[0030] In addition, it is preferable that the determination means at least compares data obtained using a sensor 2 installed in a reference house 71 or reference room 61, data obtained using a sensor 2 installed in any house 71 or room 61 vertically adjacent to the reference house 71 or reference room 61, and data obtained using a sensor 2 installed in any house 71 or room 61 horizontally adjacent to the reference house 71 or reference room 61, to determine the house 71 or room 61 in which an abnormality has occurred.

[0031] It is preferable that the determination means constantly collects vibration data from the vibration sensor 2, but it is not necessary to constantly compare the vibration data of each house 71 or room 61 to determine the location of the abnormality. For example, it is conceivable to set a threshold value for a level that may become a noise trouble in advance, constantly compare the vibration data of each room 61 with the threshold value, and determine whether or not there is any vibration data that exceeds the threshold value.

[0032] It is preferable that the determination means compares the threshold value with data obtained using the sensor 2 in each house 71 or each room 61, and sets the house 71 or room 61 in which the sensor 2 whose data exceeds the threshold value is installed as the reference house 71 or reference room 61. For example, when it is determined that there is vibration data that exceeds the threshold value, the room 61 is set as the reference room, and the vibration data measured by the vibration sensor 2 installed in the reference room is compared with the vibration data measured by the vibration sensors 2 installed in the multiple rooms 61 adjacent to the reference room to determine the noise-generating room, thereby reducing the processing load of the determination means provided in the server 3.

[0033] In addition, the determination by the determination means of the location where the abnormality has occurred may be made by identifying the location (for example, the room where the noise is occurring is Room A), or may be made by determining the probability that the location is the location where the abnormality has occurred as a percentage (for example, the rooms where the noise is occurring are Room A 70%, Room B 20%, and Room C 10%).

[0034] The notification means notifies the room 61 that has been determined by the determination means to be a noise generating room of the determination result. In other words, the notification means can notify the noise generating room that it is generating noise that is likely to affect the adjacent room 61. Note that the notification means may not only simply notify the room 61, but may also notify the room 61 with advice on how to improve the room 61.

[0035] Incidentally, it is preferable that the server 3 is provided with a counting means for counting the number of times each house 71 or room 61 is determined to be an abnormality location within a specified period. For example, the counting means may count the number of times each room 61 is determined to be a noise generating room by the determination means within a specified period. By counting the number of times each room is determined to be a noise generating room by the counting means, a penalty (such as an increase in rent or common area fees) can be given to the resident of the room 61 with a high number of times, and a reward (such as a reduction in rent or common area fees) can be given to the resident of the room 61 with a low number of times, which can serve as an incentive to prevent noise troubles.

[0036] The analysis means may analyze the degree of influence on the housing complex 60 based on the collected vibration data. For example, when the housing complex 60 is newly built, it has sufficient earthquake resistance, but due to deterioration over time, deterioration due to repeated vibrations from earthquakes, etc., deterioration of the ground, etc., the building may deteriorate and its earthquake resistance may decrease. The degree of influence on such housing complex 60 may be analyzed based on the vibration data collected by the server 3.

[0037] For example, in the event of an earthquake, the influence values ​​such as the distance the apartment building 60 shakes and the angle of inclination are analyzed from vibration data measured over a long period of time by multiple vibration sensors 2 installed in each room 61. If the values ​​are deteriorating, it is determined that the apartment building 60 has deteriorated or its earthquake resistance performance has decreased, the ground has deteriorated, etc. In addition, the risk of the apartment building 60 collapsing (such as the risk of collapse at a seismic intensity of 6 or higher) may also be analyzed and determined.

[0038] In the embodiment, data relating to a certain event measured by the sensor 2 is first subjected to arithmetic processing. The arithmetic processing is to calculate data required for subsequent analysis from the measured data, for example, to calculate the average, maximum, and minimum values ​​of data over a certain period of time. The calculations performed in the arithmetic processing vary depending on the type of event and the items to be analyzed by data analysis.

[0039] The arithmetic processing may be performed by the server 3. However, if the arithmetic processing is performed only by the server 3, all the measurement data will be collected in the server 3, and the volume of data processed by the server 3 will be large. Therefore, it is preferable to perform the arithmetic processing by the sensor 2 or the relay device 4 (hereinafter, when expressing either or both of the sensor 2 and the relay device 4, they will be called the device) which is lower than the server 3 (see FIG. 3). However, depending on the item to be analyzed, the arithmetic processing may be performed by both the server 3 and the device. In the following, in order to make the explanation easier to understand, the positioning of the sensor 2 etc. may be explained in conjunction with the notation of layer (for example, the sensor 2 is in the first layer, the relay device 4 is in the second layer, and the server 3 is in the third layer).

[0040] When the arithmetic processing and the analysis processing are performed in different layers, for example, the processed data may be transmitted to the relay device 4 that performs the analysis processing or the server 3. When the arithmetic processing and the analysis processing are performed in the same layer, the processed data is stored in that layer.

[0041] It is preferable that the data to be transmitted or stored be transmitted or stored together with additional data such as time data and location data (latitude and longitude, altitude, number of floors of a building, etc.) In this way, when analyzing using multiple measurement data, more accurate analysis can be performed.

[0042] Furthermore, the transmitted and stored data is subjected to analysis processing. Various analysis processing is assumed, but typical examples include processing to determine values ​​to be used in subsequent judgment processing from measured data and processing to derive data trends, such as "processing to determine the maximum value of the calculated data," "processing to derive data trends (such as the maximum value of the data gradually increasing) from data continuously measured by one sensor 2," and "processing to derive data trends of the area or building in which multiple sensors 2 are installed from data measured by those sensors 2."

[0043] The analysis process may be performed at any layer from the first layer to the third layer, but it is preferable to use different layers depending on the required process (item to be analyzed). For example, an item for which analysis process is performed only on data measured by one sensor 2 may be performed by the sensor 2 in the first layer, and an item for which analysis process is performed using data measured by multiple sensors 2 may be performed by the relay device 4 in the second layer or the server 3 in the third layer.

[0044] In this case, it is preferable that the server 3 collects data measured by the sensor 2 and performs data analysis based on the collected data in accordance with the required processing (items to be analyzed), and the sensor 2 performs data analysis based on data it measures. It is also preferable that the items analyzed by the data analysis performed by the server 3 and the items analyzed by the data analysis performed by the sensor 2 are different.

[0045] When a relay device 4 that relays between the sensor 2 and the server 3 is provided as shown in FIG. 3, it is preferable that the relay device 4 collects data measured by the sensor 2 and performs data analysis based on the collected data.

[0046] In addition, for items where analysis is performed on data measured over a short period of time, that is, data measured over several times, a few hours, a few days, or a few weeks, the analysis may be performed by the sensor 2 in the first layer or the relay device 4 in the second layer, and for items where analysis is performed on data measured over a long period of time, that is, data measured over a few months or years, the analysis may be performed by the server 3 in the third layer.

[0047] It is preferable to separate the items analyzed by the server 3 and the sensor 2, such that the items analyzed by the data analysis performed by the server 3 are "items analyzed based on data measured by the sensor 2 over a period longer than a specified period," and the items analyzed by the data analysis performed by the sensor 2 are "items analyzed based on data measured by the sensor 2 over a period shorter than the specified period."

[0048] It is also preferable to separate the items analyzed by the server 3 and the sensors 2, such that the items analyzed by the data analysis performed by the server 3 are "items analyzed based on data detected by multiple sensors 2," and the items analyzed by the data analysis performed by the sensor 2 are "items analyzed based on data measured by its own sensor 2."

[0049] It is also preferable to use the judgment value and data tendency obtained by the analysis process in the judgment process, which may derive a judgment result by, for example, comparing the judgment value and data tendency with a set threshold value.

[0050] For example, a maximum value determined by analysis may be compared with a threshold value to determine whether or not a certain event is in an abnormal state. Also, a data trend of gradually increasing maximum values ​​may be compared with a threshold value to determine the timing at which the maximum value exceeds a determination value. As can be seen from Figure 4, a concept such as area division may be introduced, and the characteristics of each area or building may be derived by comparing the data trends of the areas and buildings with the determination value.

[0051] When the judgment process is performed in the same layer as the analysis process, the judgment process and the analysis process may be performed simultaneously. In addition, judgment values ​​and data trends obtained by periodically performing the analysis process may be accumulated, and the judgment process may be performed using the accumulated judgment values ​​and data trends at regular intervals.

[0052] When performing judgment processing at regular intervals, for example, data measured daily may be analyzed daily, judgment values ​​and data trends may be accumulated, and judgment processing may be performed using the accumulated judgment values ​​and data trends at regular intervals, such as monthly or yearly.

[0053] In this way, not only can the memory capacity required to store the data measured daily be reduced compared to when the data measured daily is analyzed and judged at fixed intervals longer than 24 hours, but the data capacity required during analysis can also be suppressed.

[0054] In addition, the analysis process may be performed on a server 3 in the third layer, and the judgment values ​​and data trends obtained by the analysis process may be transmitted to an intermediate device in the second layer or a sensor 2 in the first layer, after which the judgment process is performed on those devices.

[0055] The determination process does not always have to be performed in the same layer, and the layer in which the determination process is performed may be determined depending on the situation. For example, when the measurement data measured by each sensor 2 is aggregated in the server 3 and a determination value is obtained by the analysis process in the server 3, if the environment of the area or building in which each sensor 2 is installed is the same and the same threshold value is set, the determination process may be performed in the server 3 and the determination result may be transmitted to the sensor 2. However, if the environment of the area or building is different and a different threshold value is set for each sensor 2, the process is less complicated if the determination process is performed in each sensor 2. Of course, such an embodiment is not necessary, and for example, the analysis process may be performed in the server 3 and the determination process may be performed in the relay device 4.

[0056] The above-mentioned system performs calculation, analysis and judgment processing on the vibration data measured by the vibration sensor 2, such as acceleration, amplitude, frequency, etc., to determine the scale and magnitude of the vibration, the degree of impact of the vibration on the building, and the cause of the vibration, such as vibration caused by an earthquake, vibration caused by the impact of a person or object colliding with the sensor 2 or a wall, vibration caused by an impact on the floor when a person falls, vibration caused by the operation of electrical equipment, vibration caused by human life, etc.

[0057] Examples of the method for determining these include the following. Note that when determining the scale or magnitude of vibration, any known method may be used.

[0058] The degree of impact of vibration on a structure is determined by diagnosing the deterioration of the structure from trends in vibration data measured over a long period of time. For example, if two earthquakes of similar intensity or magnitude occur, and the vibration data measured in the second earthquake is worse than that of the first earthquake (e.g., the structure's amplitude of shaking has increased), the building can be determined to have deteriorated.

[0059] In addition, if the seismic intensity or magnitude of the second earthquake is smaller than that of the first, but the vibration data measured in the second earthquake is of the same order of magnitude, or if the vibration data measured in the second earthquake is worse, the building may be determined to be deteriorated.

[0060] If the vibration data exceeds a threshold value specific to each building, it may be determined that there is a risk of collapse.

[0061] Regarding the determination of the cause of vibration, when vibration data with large amplitude is measured for a relatively long period of time, it is determined that the vibration is caused by an earthquake, and when vibration data with large acceleration is measured for an extremely short period of time, it is determined that the vibration is caused by an impact. For example, the cause of vibration may be predicted and determined based on the measured vibration data rather than on past measurement data.

[0062] The vibration data may be measured over a long period of time to find out the characteristics of the vibration data for each vibration, and the characteristics may be compared with the measured vibration data to determine the cause of the vibration. In this case, the characteristics of the vibration data for each vibration may be found using a known artificial intelligence, and the artificial intelligence may be used to predict and determine the cause of the vibration.

[0063] In addition, when vibration data is used, examples of "items determined based on measurement data obtained in a short period of time" include "the magnitude and size of vibration" and "vibration factors not dependent on past measurement data."

[0064] Examples of "items judged based on measurement data obtained over a long period of time" include "the degree of impact of vibration on a structure," "vibration factors using past measurement data," and "the degree of impact of vibration on the area in which a structure is built."

[0065] For example, in the case of a storied structure such as a building or an apartment block 60, in which one vibration sensor 2 is installed on each floor, it is preferable to separate items in which analysis and judgment processing is performed by each sensor 2, and items in which analysis and judgment processing is performed by a server 3 that collects the vibration data from each sensor 2.

[0066] When a plurality of vibration sensors 2 are installed on each floor of a multi-story building, it is preferable to provide a relay device 4 for each floor, collect vibration data from the vibration sensors 2 on each floor in the relay device 4, and have the server 3 collect the vibration data from the relay device 4 on each floor. The relay device 4 may simply relay the vibration data, or may perform some analysis and determination processing. On the other hand, the vibration sensor 2 may also have the above-mentioned functions of the relay device 4.

[0067] In this case, the items may be divided into those for which analysis and judgment processing is performed by each sensor 2, those for which analysis and judgment processing is performed by each relay device 4, and those for which analysis and judgment processing is performed by the server 3, or the analysis and judgment processing may not be performed by the sensor 2, and the analysis and judgment processing may be performed by the relay device 4 and the server 3.

[0068] The items for which the relay device 4 performs the analysis process and the determination process may be, for example, items common to the vibration sensors 2 installed on each floor and the same threshold value is set. In this case, by performing the analysis process and the determination process by the relay device 4, it is possible to prevent the process from becoming complicated.

[0069] In addition, when vibration sensors 2 are installed in buildings of similar construction constructed within a certain area, the vibration data measured by each vibration sensor 2 can be collected in the server 3, and the deterioration status of each building can be determined by comparing the vibration data of each building through analysis and judgment processing.

[0070] In addition, when vibration sensors 2 are installed in multiple buildings of similar structure constructed in areas with similar ground conditions, the vibration data measured by each vibration sensor 2 can be aggregated in the server 3, and analysis and judgment processes can be performed to compare the vibration data of each building, thereby determining the deterioration state of each building and the ground condition of each area.

[0071] However, the sensor 2 used in the system for determining the location of an abnormality does not have to be limited to a vibration sensor. The sensor 2 may be an electrical sensor that measures electrical data related to an electrical accident, that is, data such as current value, voltage value, power value, resistance value, and frequency. In this case, the determination can be made by measuring the electrical data immediately or for a short period of time.

[0072] If the sensor 2 is a discharge detection sensor capable of measuring electrical data due to a discharge event occurring in an outlet or electrical wiring in the house 71 or the room 61, it is preferable that the discharge detection sensor has a function of sounding an alarm when it detects a discharge event having electrical data above a predetermined level and / or a function of cutting off the flow of electricity to electrical equipment installed in the room 61 when it detects a discharge event having electrical data above a predetermined level.

[0073] For items that may lead to immediate electric shock or electrical fire, analysis and determination processing may be performed by an electrical sensor, while for items that can be determined by measuring electrical data over a long period of time, such as signs of disconnection or tracking, or signs of an electrical fire, analysis and determination processing may be performed by server 3.

[0074] In the explanation so far, a sensor 2 is installed to measure one type of data, such as vibration data or electrical data, and analysis and judgment processing are performed on the data measured by the sensor 2. However, the present invention is not limited to this, and multiple types of sensors 2 are installed to measure data related to different phenomena, and analysis and judgment processing are performed on the data measured by those sensors 2.

[0075] For example, by combining vibration data measured by a vibration sensor equipped with a vibration detection unit with human presence data measured by a human presence sensor equipped with a human presence detection unit (a detection unit that detects people or objects using visible light, infrared light, ultrasound, etc.), and performing analysis and judgment processing, the accuracy of judgment when determining a specific vibration cause (such as vibration caused by impact when a person falls) can be improved.

[0076] In addition, by combining electrical data measured by an electrical sensor equipped with an electrical detection unit with optical data measured by an optical sensor equipped with an optical detection unit, or odor data measured by an odor sensor equipped with an odor detection unit, and performing analysis and judgment processing, it is possible to improve the accuracy of determining the occurrence or prediction of electrical fires, and the occurrence or prediction of tracking.

[0077] Although the sensor 2 has been described as being installed in a structure such as a house 71, the sensor 2 may be installed in a distribution board, switchboard, high voltage power receiving equipment, system rack, or other electrical and electronic equipment storage box. When the sensor 2 is installed in an electrical and electronic equipment storage box, it is preferable to use a sensor 2 that measures data related to electrical accidents.

[0078] Furthermore, the sensor 2 may include two or more detection units having different detection mechanisms, and the determination unit may combine the data detected by the multiple detection units to determine the location of the abnormality.

[0079] Next, an example of a method for determining a noise-generating room in an apartment building 60 shown in Fig. 5 will be described step by step. Note that the following steps are not necessarily listed in order of essential steps. It goes without saying that some steps may be omitted, their order may be changed, or other steps may be incorporated, even if they are not illustrated, as long as they are in line with the gist of the invention.

[0080] "Step 1" The determination means collects vibration data from the vibration sensors 2 installed in each room 61. At this time, the collected vibration data is compared with a threshold value to determine whether or not there is any vibration data exceeding the threshold value. Note that in step 1 shown in Fig. 6, it is shown that no vibration is measured for rooms A-2, B-1, and C-3, slight vibration is measured for rooms A-1, A-3, B-2, and C-2, and small vibration is measured for rooms B-3 and C-1.

[0081] "Step 2" The situation changes from step 1, and in step 2, vibration data exceeding the threshold is detected in room B-2. As a result, if it is determined that room B-2 is a noise generating room or is highly likely to be a noise generating room, the determination step may end in step 2. However, if higher determination accuracy is required, the process proceeds to step 3 and onward. Note that step 2 shown in FIG. 6 indicates that no vibration is measured for rooms A-1 and A-3, slight vibration is measured for room A-2, small vibration is measured for rooms B-1 and B-3, medium vibration is measured for rooms C-1 and C-3, and slightly large vibration is measured for room C-2.

[0082] "Step 3" The room B-2 in which vibration data exceeding the threshold value was detected is set as the reference room, and the rooms A-2, B-1, B-3, and C-2 adjacent to the room B-2 are set as comparison rooms to be compared. Step 3 shown in FIG. 6 shows this matter.

[0083] "Step 4" The vibration data of each room 61 set as the reference room and the comparison room is compared. As a result, if it is determined that room B-2 is a noise generating room or has a high possibility of being a noise generating room, the process may end at step 4. However, if higher accuracy of determination is required, the process proceeds to step 5 and onward. Step 4 shown in FIG. 6 indicates that B-2 is likely to be a noise generating room.

[0084] "Step 5" If, as a result of comparing the vibration data of each room 61 in step 4, there is a room 61 other than room B-2 that may be a noise generating room, that room 61 (room C-2 in this embodiment) is set as a new reference room, and rooms B-2, C-1, C-3, and D-2 adjacent to the reference room are set as comparison rooms. Step 5 shown in Fig. 7 indicates that C-2 has been set as the new reference room.

[0085] "Step 6" The vibration data of each room 61 set as the reference room and the comparison room is compared. As a result, if it is determined that room B-2 is a noise generating room or has a high possibility of being a noise generating room, the process may end at step 6. Thereafter, steps 5 and 6 can be repeated to further improve the accuracy of the determination. Step 6 shown in FIG. 7 indicates that C-2 is set as the new reference room.

[0086] In step 2, it was assumed that the vibration data of room C-2 did not exceed the threshold value. However, if vibration data exceeding the threshold value is detected simultaneously in multiple rooms 61, it is preferable to set one of the rooms as the reference room in step 3, and then set the other room as the reference room in step 5 and make a judgment.

[0087] In steps 3 and 5, the four rooms 61 above, below, left and right of the reference room are set as comparison rooms, but it is sufficient to set at least one room 61 above and one room 61 on the left and right as comparison rooms, totaling two rooms.

[0088] The method for comparing the vibration data in steps 4 and 6 may be a method of comparing the magnitude of vibration, but it is not limited to this. By also comparing the shape characteristics of the vibration waveform obtained from each vibration data (such as the timing of maximum amplitude and vibration frequency), it is possible to accurately determine the room from which the noise is generated.

[0089] Incidentally, in step 2, if it is detected that the vibration data measured in room B-2 exceeds a threshold value, and in step 3, room B-2 is set as the reference room and rooms A-2, B-1, B-3, and C-2 are set as comparison rooms, in a situation in which room B-2 measures the largest vibration, while rooms A-2 and B-3 measure slightly larger vibrations and rooms B-1 and C-2 measure smaller vibrations, then in step 4, comparing only the magnitude of vibration to determine that room B-2 is the noise-generating room is difficult to say that it is a highly accurate determination.

[0090] For example, when vibration data having a waveform obtained by adding together the waveform of the vibration data of room A-2 and the waveform of the vibration data of room B-3 is measured from room B-2, it is possible that the vibration sensor 2 in room B-2 has measured vibrations that occurred simultaneously in room A-2 and room B-3, resulting in vibration data that is greater than the threshold value. Since such a possibility is conceivable, it is preferable not to stop the determination step at step 4, but to proceed to the next step to improve the determination accuracy.

[0091] In order to improve the accuracy of the determination means in determining which rooms are generating noise, it is preferable to install a sound sensor in each room 61 that measures sound, rather than relying only on the measurement of vibration data by the vibration sensor.

[0092] The sound sensor here measures sound-related values ​​such as sound pressure, amplitude, frequency, etc. By installing both a vibration sensor and a sound sensor in each room 61 and combining and comparing the vibration data and sound data of each room 61, it is possible to improve the accuracy of judgment by the judgment means.

[0093] Furthermore, the vibration sensor 2 preferably has a function of issuing an alert (a function of outputting the seismic intensity or evacuation advice by voice) when it detects vibrations caused by an earthquake of a predetermined seismic intensity or higher, and / or a function of cutting off power to electrical equipment installed in the room 61 (a function of cutting off a circuit breaker installed in a distribution board or in electrical equipment in the room 61 or the house 71) when it detects vibrations caused by an earthquake of a predetermined seismic intensity or higher. The output means preferably outputs a message to that effect by voice or light, or outputs evacuation instructions, evacuation routes, etc. by voice when it detects an earthquake of a predetermined seismic intensity or higher, which is arbitrarily set, such as intensity 3 or higher. The output means may also have a function of outputting the contents communicated by the communication means of the server 3 by voice, light, text, etc.

[0094] The cutoff means, when detecting an earthquake of a predetermined seismic intensity or more, such as intensity 5 or more, outputs a cutoff signal to a circuit breaker (to which electrical equipment is connected as a load) provided in a distribution board in room 61 or to a relay provided in the electrical equipment, thereby cutting off power to the electrical equipment. If the vibration sensor 2 is a circuit breaker with a seismic sensing function incorporated in the circuit breaker, it may output a cutoff signal to the circuit breaker to cut off the power.

[0095] In the case of an outlet with an earthquake sensing function in which the vibration sensor 2 is incorporated, a cutoff signal may be output to a relay in the outlet to cut off the electrical equipment. By providing the vibration sensor 2 with an output means for issuing an alarm when an earthquake occurs and a cutoff means for cutting off electrical equipment, the vibration sensor 2 can be provided with a function for use in extraordinary situations such as the occurrence of an earthquake. Therefore, in addition to its everyday function of preventing noise troubles in the apartment building 60, the vibration sensor 2 of the present invention is expected to be useful in both everyday and extraordinary situations.

[0096] Although the present invention has been described above by taking the embodiment as an example, the present invention is not limited to the above embodiment and can be implemented in various forms. For example, the server may be a physical server or a cloud server. [Explanation of symbols]

[0097] 2 Sensors 3 Server 4. Relay Devices 61 rooms 71 Houses

Claims

1. A system for determining an abnormality location, comprising a server that collects data measured by sensors installed in both adjacent houses or both adjacent rooms, The server is provided with a determination means for comparing data measured by the sensors of each house or each room to determine a house or room in which an abnormality has occurred; the sensor is an electrical sensor capable of measuring electrical data including at least any one of a current value, a voltage value, a power value, and a resistance value; The electrical sensor is a system for determining the location of an abnormality and has the function of sounding an alarm when it detects a discharge event of a specified level or more, and / or the function of cutting off the flow of electricity to electrical equipment installed in the room when it detects a discharge event of a specified level or more.

2. A system for determining an abnormality location, comprising a server that collects data measured by sensors installed in both adjacent houses or rooms, the server comprising a determination means for comparing data measured by the sensors in each house or room to determine the house or room in which the abnormality has occurred; The determination means is a system for determining the location of an abnormality, which is capable of determining the location of an abnormality by combining each piece of data detected by a plurality of detection units, which at least include a detection unit of an electric sensor capable of measuring at least any one of current value, voltage value, power value, and resistance value and a detection unit of an optical sensor, or a detection unit of the electric sensor and a detection unit of an odor sensor.

3. 3. A system for determining the location of an abnormality as described in claim 1 or 2, wherein the server collects data measured by the sensors and performs data analysis based on the collected data, and the sensors perform data analysis based on data they measure themselves.

4. 4. The system for determining the location of an abnormality according to claim 1, further comprising a relay device that relays between the sensor and the server, the relay device collecting data measured by the sensor and performing data analysis based on the collected data.

5. A system for determining the location of an abnormality as described in any of claims 1 to 4, wherein the determination means at least compares data obtained using a sensor installed in a reference house or reference room with data obtained using a sensor installed in any house or room horizontally adjacent to the reference house or reference room to determine the house or room in which the abnormality has occurred.

6. A system for determining the location of an abnormality as described in any of claims 1 to 4, wherein the determination means at least compares data obtained using a sensor installed in a reference house or reference room, data obtained using a sensor installed in any house or room vertically adjacent to the reference house or reference room, and data obtained using a sensor installed in any house or room horizontally adjacent to the reference house or reference room, to determine the house or room in which an abnormality has occurred.

7. The system for determining the location of an abnormality as described in claim 5 or 6, wherein the determination means compares a threshold value with data obtained using sensors in each house or room, and sets a house or room in which a sensor whose data exceeds the threshold value is installed as the reference house or reference room.

8. An item analyzed by the data analysis performed by the server, and an item analyzed by the data analysis performed by the sensor; 5. The system for determining an abnormality occurrence location according to claim 1, wherein:

9. 9. The system for determining the location of an abnormality as described in claim 8, wherein the items analyzed by the data analysis performed by the server are items analyzed based on data measured by the sensor over a period longer than a predetermined period, and the items analyzed by the data analysis performed by the sensor are items analyzed based on data measured by the sensor over a period shorter than the predetermined period.

10. 9. A system for determining the location of an abnormality as described in claim 8, wherein the items analyzed by the data analysis performed by the server are items analyzed based on data detected by a plurality of sensors, and the items analyzed by the data analysis performed by the sensor are items analyzed based on data measured by its own sensor.

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