JP2022162638A - Abnormality generation place determination system - Google Patents

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 The present invention relates to a system for determining an abnormality occurrence location in an adjacent house or adjacent room.

When rooms or houses are adjacent to each other, the manner of use of a person who uses one part of them may affect those who use other parts of them. For example, in houses, especially collective housing, noise troubles due to vibration have become a problem. As a countermeasure against such a problem, Patent Literature 1 describes a noise monitoring device for a housing complex that issues an alarm when vibrations causing noise occur in adjacent rooms.

JP-A-08-233648

However, the noise monitoring device described in Patent Document 1 uses the vibration force to the floor calculated by the vibration acceleration sensor installed on the floor of the room and the impact sound insulation grade number of the floor. However, it is difficult to make an accurate judgment by using such a calculation to measure the effect on the room below. In addition to noise, there is also a desire to identify areas where such problems are occurring when fires occur or when events highly related to the cause of fires occur. be.

The inventors of the present case came up with the present invention by earnestly studying the above problems. The problem to be solved by the present invention is to make it possible to determine the place where an abnormality has occurred from among adjacent houses or rooms.

In order to solve the above-mentioned problems, there is provided an abnormal location determination system comprising a server that collects data measured by sensors installed in both adjacent houses or rooms, wherein the server includes: The abnormal location determination system includes determination means for determining a house or room in which an abnormality has occurred by comparing data measured by a sensor.

In addition, the determination means includes at least data obtained by using a sensor installed in a reference house or reference room, and any house or room horizontally adjacent to the reference house or reference room. It is preferable to determine a house or room in which an abnormality has occurred by comparing data obtained using sensors installed in the room.

In addition, the determination means includes at least data obtained by using a sensor installed in a reference house or a reference room, and any house or room vertically adjacent to the reference house or reference room. Data obtained using a sensor installed in a room, data obtained using a sensor installed in any house or room horizontally adjacent to the standard house or room, and is preferably compared to determine the house or room in which an abnormality has occurred.

In addition, the determination means compares the data obtained using the sensors of each house or each room with the threshold, and the house or room in which the sensor whose data exceeds the threshold is installed as the reference house or standard It is preferable to have a configuration that is set in different rooms.

In addition, it is preferable that the server is provided with totaling means for totalizing the number of times an abnormal location is determined for each house or room in a predetermined period.

The sensor is a vibration sensor that measures vibration data due to vibrations occurring in the house or room, and the vibration sensor has a function to issue an alarm when vibration due to an earthquake of a predetermined seismic intensity or more is detected and/or an earthquake of a predetermined seismic intensity or more It is preferable to have a function to cut off the power supply to the electrical equipment installed in the room when the vibration due to the vibration is detected.

The sensor is a discharge detection sensor that can measure electrical data due to a discharge event that occurs in an outlet or electrical wiring in a house or room, and the discharge detection sensor issues an alarm when it detects a discharge event having electrical data greater than or equal to a predetermined value. and/or a function of shutting off power supply to electrical equipment installed in the room when a discharge event having electrical data equal to or greater than a predetermined value is detected.

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

It is preferable that the server collects the data measured by the sensor and analyze the data based on the collected data, and the sensor analyzes the data based on the data measured by itself.

It is preferable that the items analyzed by the data analysis performed by the server and the items analyzed by the data analysis performed by the sensor are different.

The items analyzed by the data analysis performed by the server are the items analyzed based on the data measured by the sensor over a period longer than the predetermined period, and the items analyzed by the data analysis performed by the sensor are: It is preferable that the item is analyzed based on data measured by the sensor over a period shorter than the predetermined period.

The items analyzed by the data analysis performed by the server are the items analyzed based on the data detected by multiple sensors, and the items analyzed by the data analysis performed by the sensor are measured by the own sensor. It is preferable that the item is analyzed based on the data obtained.

Preferably, a relay device that relays between the sensor and the server is provided, and the relay device collects data measured by the sensor and performs data analysis based on the collected data.

According to the present invention, it is possible to determine the place where an abnormality has occurred from among adjacent houses or rooms.

FIG. 4 is a conceptual diagram showing that the system according to the embodiment is retrieving information from sensors installed in each room of an apartment complex. It is a conceptual diagram showing that the system in the embodiment is sucking up information from sensors installed in each house. FIG. 4 is a conceptual diagram showing an example in which a relay device is interposed between a sensor and a server; FIG. 4 is a conceptual diagram showing that areas in which houses exist are separately recognized. FIG. 2 is a conceptual diagram showing that sensors are arranged in each room of an apartment complex and information is taken up from the sensors to a server; However, rooms D-1 to D-3 are omitted. 6 is a conceptual diagram showing the positioning of each room in the housing complex shown in FIG. 5; FIG. However, steps 1 to 4 are shown. 6 is a conceptual diagram showing the positioning of each room in the housing complex shown in FIG. 5; FIG. However, steps 5 and 6 are represented. It indicates that B-2 is more likely to be the noise generating room than C-2.

Modes for carrying out the invention are shown below. The abnormality occurrence location determination system of this embodiment includes a server 3 that collects data measured by sensors 2 installed in both adjacent houses 71 or both rooms 61 . In addition, the system for determining the location of abnormality has a determining means in the server 3 for determining the house 71 or room 61 in which an abnormality has occurred by comparing the data measured by the sensors 2 of each house 71 or each room 61. ing. Therefore, it is possible to determine the place where the abnormality occurs from the adjacent house 71 or room 61 .

As can be understood from FIGS. 1 and 2, the abnormality occurrence location determination system can be installed in both adjacent houses 71 or both rooms 61 to detect the occurrence of anomaly-related events. A system comprising a contributing sensor 2 and a server 3 . Events related to abnormalities and related data include temperature [temperature data], humidity [humidity data], gas concentration (concentration of combustible gas, combustion-supporting gas, non-combustible gas, toxic gas, etc.), sound [amplitude , vibration frequency, sound pressure, etc.], light (visible light, infrared rays, ultraviolet rays, etc. [data on intensity, wavelength, etc.]), odors [data on odor intensity, odor component concentration, etc.], electrical accidents (power outages, Leakage, short circuit, overload, tracking, disconnection, electric fire, etc. [data such as current, voltage, power, resistance, frequency]), vibration (vibration due to earthquake, vibration due to shock, vibration due to operation of electrical equipment) , vibrations caused by people's lives [data such as acceleration, amplitude, and frequency]), and any events that can be measured by the known sensor 2 and any data related to those events.

In order to give a more concrete image, here, as an example of a system for determining a place where an abnormality occurs, a system for determining a noise-generating room will be described. This noise generating room determination system includes vibration sensors 2 installed in each room 61 of a housing complex 60 and a server 3 that collects vibration data measured by the vibration sensors 2 . The vibration sensor 2 is capable of measuring vibrations generated in the room 61. The vibrations referred to here are caused by vibrations caused by earthquakes, and collisions with the vibration sensor 2 and the wall on which it is installed. Various vibrations are applicable, such as vibration, vibration due to the impact on the floor when a person falls, and vibration caused by human life such as walking and sitting.

The vibration sensor 2 may include a detection unit that simply detects vibration data and a communication unit that communicates with the server 3. In addition to these, a breaker with a vibration sensing function having a circuit breaker, , a receptacle with a vibration-sensing function having a receptacle part, etc., may be configured integrally with various electric devices.

The vibration sensor 2 is installed at a position near the floor of the room 61, and is preferably installed in the room 61 used as a living room or children's room where residents mainly live. For example, it is easy to install at such a position by using an outlet with a vibration sensing function provided with an outlet, or a vibration sensor 2 housed in a case installed in the outlet.

The server 3 of the embodiment collects vibration data measured by the vibration sensor 2 installed in each house 71 or room 61, and includes determination means for determining an abnormality occurrence location based on the collected vibration data; notification means for notifying the house 71 or the room 61 determined to be the location of the occurrence; totalization means for totalizing the number of times the abnormality is determined to be the location for each room 61 in a predetermined period; and analysis means for analyzing the degree of influence exerted on other rooms 61, houses 71, etc. based on the results.

For example, the determination means compares the vibration data measured by the vibration sensor 2 in each room 61 to determine the noise generating room. Vibration data is numerical values measured regarding vibration, such as acceleration, amplitude, and frequency.

As a determination method by the determining means, the vibration data of each house 71 or each room 61 can be compared, and the room 61 having a large measured value can be determined as the noise generating room. However, it is preferable to make a determination by comparing vibration data of 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 place where the abnormality occurs can be determined with high accuracy.

The determination means includes at least data obtained by using the sensor 2 installed in the reference house 71 or the reference room 61 and any of the reference house 71 or the reference room 61 horizontally adjacent to the data. It is preferable to determine the house 71 or room 61 in which the abnormality has occurred by comparing the data obtained by using the sensor 2 installed in the house 71 or room 61 .

In addition, the determination means includes at least data obtained by using the sensor 2 installed in the reference house 71 or the reference room 61, and the data adjacent to the reference house 71 or the reference room 61 in the vertical direction. Data obtained using the sensor 2 installed in any house 71 or room 61, and installed in any house 71 or room 61 horizontally adjacent to the reference house 71 or reference room 61 It is preferable that the house 71 or the room 61 in which the abnormality has occurred is determined by comparing the data obtained using the sensor 2 that is detected.

It is preferable that the judging means constantly collects vibration data from the vibration sensor 2, but it is not necessary to always compare the vibration data of each house 71 or room 61 to judge the location of the abnormality. For example, it is conceivable to set a threshold value of a level at which noise trouble may occur in advance, constantly compare the threshold value with the vibration data of each room 61, and determine whether or not there is vibration data exceeding the threshold value. .

The determination means compares the data obtained by using the sensor 2 of each house 71 or each room 61 with the threshold, and the house 71 or room 61 in which the sensor 2 whose data exceeds the threshold is installed becomes the reference. It is preferable to set the house 71 or the standard room 61 . For example, when it is determined that there is vibration data exceeding a threshold, the room 61 is set as a reference room, and the vibration data measured by the vibration sensor 2 installed in the reference room is If the noise generating room is determined by comparing the vibration data measured by the vibration sensor 2 installed in the room, the processing load of the determination means provided in the server 3 can be reduced.

The determination of the location of the abnormality by the determining means may be performed by specifying the location (for example, the room where the noise is generated is the A room), or the possibility of the location of the abnormality may be expressed as a percentage. Judgment (for example, room A is 70%, room B is 20%, and room C is 10%) may be determined.

The notification means notifies the determination result to the room 61 determined as the noise generating room by the determination means. In other words, it is possible to notify the noise-generating room that noise is being generated that affects the adjacent room 61 . It should be noted that not only notification but also content such as advice on improvement methods may be notified.

By the way, it is preferable that the server 3 is provided with totaling means for totalizing the number of times the abnormal location is determined for each house 71 or room 61 in a predetermined period. For example, the tallying means may tally the number of times the judging means determines that the room is a noise generating room for each room 61 in a predetermined period. The counting means tallies the number of times the room is judged to be a noise-generating room, and gives penalties (increase in rent or common service fee, etc.) to the residents of the room 61 who have been judged to be noise-producing rooms, and to the residents of the room 61 which has been the least frequent. You can motivate them to prevent noise problems by giving them rewards (reduced rent and common service fees, etc.).

The analysis means may analyze the degree of influence exerted on the housing complex 60 based on the collected vibration data. For example, when the collective housing 60 is newly built, it has sufficient earthquake resistance performance, but due to deterioration over time, deterioration due to repeated earthquakes and other vibrations, and deterioration of the ground, etc., the building deteriorates and the earthquake resistance performance declines. There is a risk. The degree of influence exerted on such collective housing 60 may be analyzed based on the vibration data collected by the server 3 .

For example, influence values such as the shaking distance and tilting angle of the housing complex 60 against an earthquake are analyzed from vibration data measured over a long period of time by a plurality of vibration sensors 2 installed in each room 61 . If the value is deteriorating, it is determined that the housing complex 60 is deteriorating, the seismic performance is declining, or the ground is deteriorating. Alternatively, the risk of collapse of the collective housing 60 (eg, there is a risk of collapse with a seismic intensity of 6 or more) may be analyzed and determined.

By the way, in the embodiment, data regarding a certain event measured by the sensor 2 is first processed. Arithmetic processing is to calculate data necessary for subsequent analysis from the measured data, such as calculating the average value, maximum value, or minimum value of data for a certain period of time. Calculations performed in arithmetic processing vary depending on the type of event and items to be analyzed by data analysis.

The arithmetic processing may be performed by the server 3, but if the arithmetic processing is performed only by the server 3, all the measurement data will be aggregated on the server 3, and the volume of data processed by the server 3 will increase. Therefore, it is preferable that the processing be performed by the sensor 2 or the relay device 4 (hereinafter referred to as a device when expressing one or both of the sensor 2 and the relay device 4) below the server 3 (see FIG. 3). ). However, depending on the item to be analyzed, both the server 3 and the device may perform arithmetic processing. In the following description, the positioning of the sensor 2 and the like may be described in conjunction with the notation of layer for the purpose of facilitating the understanding of the description (for example, the sensor 2 is in the first layer and the relay device 4 is in the second layer). , and server 3 is in the third tier, etc.).

When arithmetic processing and analysis processing are performed in different layers, for example, data that has undergone arithmetic processing may be sent to the relay device 4 or server 3 that performs the analysis processing. If computational processing and analytical processing are performed in the same layer, the processed data is stored in that layer.

The data that is transmitted or stored is preferably transmitted or stored together with additional data such as time data and location data (latitude/longitude, altitude, number of floors of a building, etc.). By doing so, it is possible to perform analysis with higher accuracy when analyzing using a plurality of measurement data.

Further, the transmitted and stored data is analyzed. Various types of analysis processing are assumed, but "processing to determine the maximum value of data processed by arithmetic processing" and "processing to determine data trend (data trend) from data continuously measured by one sensor 2 The maximum value gradually increases, etc.)", "From data measured by multiple sensors 2, processing to derive data trends of areas and buildings where those sensors 2 are installed", measurement A typical example is a process of determining a value to be used in a subsequent determination process from the obtained data, a process of deriving a data trend, or the like.

The analysis process may be performed in any layer from the first layer to the third layer, but it is preferable to change the layer to be analyzed according to the desired process (items to be analyzed). For example, for items for which analysis processing is performed only on the data measured by one sensor 2, it is performed by the sensor 2 of the first layer, and for items for which analysis processing is performed using data measured by a plurality of sensors 2 may be performed by the relay device 4 of the second layer or the server 3 of the third layer.

At this time, the server 3 collects the data measured by the sensor 2 in accordance with the required processing (items to be analyzed), performs data analysis based on the collected data, and the sensor 2 analyzes the data measured by itself. It is preferable to perform data analysis based on Moreover, it is 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.

As shown in FIG. 3, when a relay device 4 relaying between the sensor 2 and the server 3 is provided, the relay device 4 collects data measured by the sensor 2 and performs data analysis based on the collected data. is preferred.

In addition, for items for which analysis processing is performed using data measured over a short period of time, that is, data measured over several times, several hours, several days, or several weeks, the sensor 2 of the first layer or the sensor of the second layer Data measured over a long period of time, that is, data measured over a period of several months or several years, is processed by the relay device 4, and the items for which analysis processing is performed may be processed by the server 3 of the third layer. good.

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 the predetermined period", and are analyzed by the data analysis performed by the sensor 2. The items to be analyzed by the server 3 and the sensor 2 are separated such that the items to be analyzed are "items to be analyzed based on data measured by the sensor 2 over a period shorter than the predetermined period". is preferred.

Further, the items analyzed by the data analysis performed by the server 3 are "items analyzed based on the data detected by the plurality of sensors 2", and the items analyzed by the data analysis performed by the sensor 2 are , and "items analyzed based on data measured by own sensor 2".

Moreover, it is preferable to use the judgment value and the data tendency obtained by the analysis processing in the judgment processing. In the determination process, a determination result may be derived by comparing with a set threshold value.

For example, by comparing the maximum value determined by the analysis with a threshold value, the result of determination as to whether or not a certain event is an abnormal state may be derived. Also, by comparing the data tendency that the maximum value gradually increases with the threshold value, it may be possible to derive the timing at which the maximum value exceeds the determination value. In addition, as can be understood from Fig. 4, the concept of area division is introduced, and the characteristics of each area and building are derived by comparing the data tendency of the area and building with the judgment value. may

If the determination process and the analysis process are performed in the same layer, the determination process and the analysis process may be performed at the same time. Alternatively, determination values and data trends obtained by performing analysis processing periodically may be accumulated, and determination processing may be performed using the determination values and data trends accumulated at regular intervals. .

When judgment processing is performed at regular intervals, for example, data that is measured every day is analyzed and processed every day, judgment values and data trends are accumulated, and accumulated at regular intervals such as monthly or yearly. Judgment processing may be performed using judgment values and data trends.

In this way, the memory capacity for accumulating the daily measured data can be reduced compared to the case where the daily measured data is analyzed and judged at regular intervals longer than 24 hours. It is possible to suppress the data volume at the time of analysis processing.

In addition, analysis processing is performed by the server 3 of the third layer, and after transmitting the judgment value and data tendency obtained by the analysis processing to the intermediate device of the second layer and the sensor 2 of the first layer, judgment processing is performed by those devices. may be performed.

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 the judgment value is obtained by the analysis processing in the server 3, the area where each sensor 2 is installed and the environment of the building are the same. When setting a threshold value, the determination process may be performed by the server 3, and the determination result may be transmitted to the sensor 2. , the process is not complicated if each sensor 2 performs the determination process. Of course, such a mode may not be used. For example, the server 3 may perform the analysis processing and the relay device 4 may perform the determination processing.

The above-described system performs arithmetic processing, analysis processing, and judgment processing on vibration data related to vibration measured by the vibration sensor 2, such as acceleration, amplitude, and frequency, to determine the scale and magnitude of vibration. and determine the degree of influence of vibration on a building, vibration factors 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 the impact on the floor when a person falls , vibration caused by the operation of electrical equipment, vibration caused by people's lives, and the like.

Examples of how these are determined can be as follows. In the case of determining the scale and magnitude of vibration, any known method may be used.

Determination of the degree of influence of vibration on a building is to diagnose the deterioration of the building based on changes in vibration data measured over a long period of time. If the vibration data measured in the second earthquake is worse than the vibration data measured in the first earthquake (e.g., the amplitude of the shaking of the building is larger), the building will be damaged. It should be determined that it has deteriorated.

Also, even though the seismic intensity and magnitude of the second earthquake among the two earthquakes that occurred are smaller than the first, the vibration data measured for the second earthquake are of the same level, or if the second earthquake If the measured vibration data is worse, it may be determined that the building is deteriorated.

If the vibration data exceeds a threshold unique to each building, it may be determined that there is a risk of collapse.

Regarding the determination of the cause of vibration, if vibration data with large amplitude is measured for a relatively long time, it is caused by an earthquake, and if vibration data with large acceleration is measured for an extremely short time, it is caused by impact. For example, the vibration factor may be predicted and determined based on the measured vibration data without depending on the past measurement data.

By measuring the vibration data over a long period of time, the characteristics of the vibration data of each vibration may be found, and the vibration factor may be determined by comparing these characteristics with the measured vibration data. At this time, a known artificial intelligence may be used to find out the characteristics of the vibration data of each vibration, and the artificial intelligence may be used to predict and determine the vibration factor.

When using vibration data, examples of "items determined based on measurement data obtained in a short period of time" include "scale and magnitude of vibration" and "vibration factors not based on past measurement data". can.

In addition, "items judged based on measurement data obtained over a long period of time" include "degree of impact on buildings due to vibration," "vibration factors using past measurement data," and " "The degree of influence by vibration of the built area" can be exemplified.

For example, in a building with a hierarchical structure such as a building or an apartment complex 60, when one vibration sensor 2 is installed in each floor, items for performing analysis processing and determination processing with each sensor 2, and each It is preferable that the server 3 that collects the vibration data of the sensor 2 performs analysis processing and determination processing.

When a plurality of vibration sensors 2 are installed on each floor of a building with a hierarchical structure, a relay device 4 is provided for each floor, and vibration data from the vibration sensors 2 on each floor are collected in the relay device 4 and sent to the server 3. collects the vibration data from the relay device 4 of each layer. The relay device 4 may simply relay the vibration data, or may perform a part of analysis processing and judgment processing. On the other hand, the vibration sensor 2 may also serve the above-described functions of the relay device 4 .

At this time, it may be divided into items for analysis processing and determination processing by each sensor 2, items for analysis processing and determination processing by each relay device 4, and items for analysis processing and determination processing by the server 3. 2 may not perform analysis processing and determination processing, and relay device 4 and server 3 may perform analysis processing and determination processing.

Items on which the relay device 4 performs the analysis process and the determination process include, for example, items common to the vibration sensors 2 installed on each floor and the same threshold value is set. In this case, the relay device 4 can perform the analysis process and the determination process to prevent the process from becoming complicated.

Also, when the vibration sensors 2 are installed in buildings with similar structures built in a certain area, the vibration data measured by each vibration sensor 2 is aggregated in the server 3, and analysis processing and judgment processing are performed. The deterioration state of each building may be determined by comparing the vibration data of each building.

Further, when the vibration sensors 2 are installed in buildings with similar structures built in a plurality of areas with similar ground conditions, the vibration data measured by each vibration sensor 2 is aggregated in the server 3 and analyzed. The deterioration state of each building and the state of the ground in each area may be determined by comparing the vibration data of each building by performing determination processing and comparing the vibration data of each building.

By the way, the sensor 2 used in the system for determining where an abnormality has occurred need not be limited to a vibration sensor. The sensor 2 may be an electrical sensor that measures electrical data related to an electrical accident, ie data such as current, voltage, power, resistance and frequency. In this case, determination can be made by measuring electrical data in real time or in a short period of time.

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 room 61, the discharge detection sensor detects a discharge event having electrical data greater than or equal to a predetermined value. In addition, it is preferable to have a function to issue a warning and/or a function to cut off the power supply to the electrical equipment installed in the room 61 when a discharge event having electrical data exceeding a predetermined level is detected.

For items that may lead to immediate electric shock or electrical fire, analysis and judgment processing shall be performed with electrical sensors, and judgments will be made by measuring electrical data over a long period of time, such as signs of disconnection and tracking, and signs of electrical fire. For possible items, the server 3 may perform analysis processing and determination processing.

In the explanation so far, the sensor 2 that measures one type of data such as vibration data and electrical data is installed, and the data measured by the sensor 2 is subjected to analysis processing and judgment processing. However, it is also possible to install a plurality of types of sensors 2 that measure data related to different events, and to perform analysis processing and judgment processing on the data measured by these sensors 2 .

For example, vibration data measured by a vibration sensor equipped with a vibration detection unit and human detection unit (a detection unit that detects people and objects with visible light, infrared rays, ultrasonic waves, etc.) By performing analysis processing and judgment processing in combination with human sensation data, it is possible to improve the accuracy of judgment when judging specific vibration factors (such as vibration caused by the impact of a person falling). good.

In addition, electrical data measured by an electrical sensor equipped with an electrical detector, optical data measured by an optical sensor equipped with a light detector, and odor data measured by an odor sensor equipped with an odor detector are combined. Then, by performing analysis processing and determination processing, the accuracy of determining the occurrence and prediction of an electric fire, the occurrence and prediction of tracking, and the like may be improved.

In addition, as the installation location of the sensor 2, a structure such as the house 71 has been described, but the sensor 2 is installed in a box for storing electrical and electronic equipment such as a distribution board, a switchboard, a high-voltage power receiving facility, and a system rack. You may do so. In addition, when the sensor 2 is installed in the electrical/electronic device storage box, it is preferable to use the sensor 2 for measuring data relating to electrical accidents.

Further, the sensor 2 may include two or more detection units having different detection mechanisms, and the determination unit may combine data detected by the plurality of detection units to determine the location of the abnormality.

Next, an example of a method for determining a noise-generating room in the housing complex 60 shown in FIG. 5 will be described step by step. Note that the following steps are not necessarily listed in order. It is needless to say that even if no example is given, it is possible to partially delete, change the order of, or incorporate other steps as long as the gist of the invention is met.

"Step 1"
The determination means collects vibration data from vibration sensors 2 installed in each room 61 . At this time, the collected vibration data and the threshold are compared to determine the presence or absence of vibration data exceeding the threshold. In addition, in step 1 shown in FIG. 6, the vibration is not measured for rooms A-2, B-1, and C-3 indicates that slight vibrations are being measured, and that small vibrations are being measured in rooms B-3 and C-1.

"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 the room B-2 is the noise generating room or is highly likely to be the noise generating room, the determination step may be terminated at step 2. FIG. However, if higher determination accuracy is required, the process proceeds to step 3 and thereafter. It should be noted that in step 2 shown in FIG. 6, no vibration was measured for rooms A-1 and A-3, slight vibration was measured for room A-2, and room B-1 , B-3 measures small vibrations, rooms C-1 and C-3 measure moderate vibrations, and room C-2 measures slightly large vibrations. It shows what you are doing.

"Step 3"
Set the room B-2 where the vibration data exceeding the threshold is detected as the reference room, and the rooms A-2, B-1, B-3, and C-2 adjacent to the room B-2 as the comparison rooms to be compared. set. Step 3 shown in FIG. 6 shows this matter.

"Step 4"
Vibration data of each room 61 set as a reference room and a comparison room are compared. As a result, if it is determined that the room B-2 is the noise generating room or is highly likely to be the noise generating room, the process may end at step 4. FIG. However, if a higher determination accuracy is required, the process proceeds to step 5 and thereafter. Step 4 shown in FIG. 6 indicates that B-2 may be a noise generating room.

"Step 5"
As a result of comparing the vibration data of each room 61 in step 4, if there is a room 61 that may be a noise generating room other than the room B-2, 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 a new reference room.

"Step 6"
Vibration data of each room 61 set as a reference room and a comparison room are compared. As a result, if it is determined that the room B-2 is the noise generating room or is highly likely to be the noise generating room, the process may end at step 6. FIG. Thereafter, by repeating steps 5 and 6, it is possible to further improve the determination accuracy. Step 6 shown in FIG. 7 indicates that C-2 has been set as a new reference room.

In step 2, it was assumed that the vibration data in room C-2 did not exceed the threshold. It is preferable to set one as the room and then set the other as the reference room in step 5 for determination.

In steps 3 and 5, four rooms 61 on the top, bottom, left, and right of the reference room are set as comparison rooms, but at least one room 61 above and below and one room 61 on the left and right may be set as comparison rooms.

The method of comparing the vibration data in steps 4 and 6 may be a method of comparing the magnitude of the vibration, but is not limited to that. , vibration frequency, etc.), it is possible to accurately determine the noise-generating room.

By the way, in step 2, it is detected that the vibration data measured in the room B-2 exceeds the threshold, and in step 3, the room B-2 is set as the reference room, and the rooms A-2, B-1, and B-3 , When C-2 was set as a comparison room, room B-2 measured the largest vibration, but slightly larger vibrations were measured in rooms A-2 and B-3, and in rooms B-1 and C-2 In the case of measuring small vibrations, it is difficult to say that it is highly accurate to judge that the room B-2 is the noise generating room by comparing only the magnitude of the vibrations in step 4.

For example, when vibration data having a waveform obtained by adding the vibration data waveform of room A-2 and the vibration data waveform of room B-3 is measured from room B-2, room A- This is because it is conceivable that the vibrations generated simultaneously in Room 2 and Room B-3 were measured by the vibration sensor 2 in Room B-2, resulting in vibration data larger than the threshold. Since such a situation is also conceivable, it is preferable not to stop the judgment step at step 4, but to proceed to the next step and improve the judgment accuracy.

In addition, in order to improve the accuracy of determination of the noise generating room by the determination means, it is preferable to install a sound sensor for measuring sound in each room 61 in addition to measuring vibration data by the vibration sensor.

The sound sensor referred to here measures numerical values related to sound such as sound pressure, amplitude, and frequency. If both the vibration sensor and the sound sensor are installed in each room 61 and the vibration data and sound data of each room 61 are combined and compared, it is possible to improve the determination accuracy of the determination means.

In addition, the vibration sensor 2 has a function to issue an alarm (a function to output the seismic intensity and an evacuation advisory by voice) when vibration due to an earthquake of a predetermined seismic intensity or more is detected, and/or when an earthquake of a predetermined seismic intensity or more is detected, , the function of interrupting the power supply to the electric equipment installed in the room 61 (the function of interrupting the circuit breaker provided in the distribution board in the room 61 or the house 71 or in the electric equipment). is preferred. When an earthquake with a seismic intensity of 3 or higher is detected, the output means outputs that fact with sound or light, or outputs evacuation instructions, evacuation routes, etc. It is preferable to assume Moreover, it may have a function of outputting the contents communicated by the communication means of the server 3 by voice, light, characters, or the like.

The interrupting means is a circuit breaker (to which electrical equipment is connected as a load) provided in the distribution board of the room 61 when an earthquake with an arbitrarily set seismic intensity or higher, such as a seismic intensity of 5 or higher, is detected. It outputs a cutoff signal to a relay or the like provided in the electrical equipment to cut off the current supply to the electrical equipment. If the vibration sensor 2 is a circuit breaker with a vibration sensing function incorporated in the circuit breaker, it may output a break signal to the circuit breaker to make it break.

In the case of an outlet with a vibration sensing function in which the vibration sensor 2 is incorporated in the outlet, the power may be cut off by outputting a cutoff signal to a relay in the outlet. By providing the vibration sensor 2 with an output means for issuing a warning when an earthquake occurs and a shut-off means for shutting off electrical equipment, it is possible to provide a function that is active in an extraordinary event such as an earthquake. Therefore, the vibration sensor 2 of the present invention can be expected to play an active role both in daily life and in extraordinary situations, together with the function of preventing noise troubles in the housing complex 60, which is useful in daily life.

Although the present invention has been described above using the embodiments as examples, the present invention is not limited to the above-described embodiments, and various aspects are possible. For example, the server may be a physical server or a cloud server.

2 sensor 3 server 4 relay device 61 room 71 house

Claims (13)

An abnormality occurrence location determination system comprising a server that collects data measured by sensors installed in both adjacent houses or both rooms,
A system for judging a place where an abnormality has occurred, comprising judging means for judging a house or room in which an anomaly has occurred by comparing data measured by sensors in each house or room in a server. At least the means of determination
Data obtained using sensors installed in a standard house or standard room,
Data obtained using a sensor installed in any house or room horizontally adjacent to the reference house or reference room;
2. A system for determining an abnormality occurrence location according to claim 1, wherein a house or room in which an abnormality has occurred is determined by comparing . At least the means of determination
Data obtained using sensors installed in a standard house or standard room,
Data obtained using a sensor installed in any house or room vertically adjacent to the reference house or reference room;
Data obtained using a sensor installed in any house or room horizontally adjacent to the reference house or reference room;
2. A system for determining an abnormality occurrence location according to claim 1, wherein a house or room in which an abnormality has occurred is determined by comparing . The determination means compares the data obtained by using the sensors in each house or room with the threshold, and determines the house or room in which the sensor whose data exceeds the threshold is installed as the reference house or the reference room. 4. The abnormality occurrence location determination system according to claim 2 or 3, wherein: 5. The abnormal location determination system according to any one of claims 1 to 4, wherein the server is provided with totaling means for totalizing the number of times an abnormal location is determined for each house or room in a predetermined period. The sensor is a vibration sensor that measures vibration data due to vibration generated in the house or room,
Vibration sensor
Equipped with a function to issue an alarm when vibration due to an earthquake of a specified seismic intensity or higher is detected, and/or a function to cut off power to electrical equipment installed in the room when vibration due to an earthquake of a specified seismic intensity or higher is detected. 5. A system for determining an abnormality occurrence location according to any one of claims 1 to 4. The sensor is a discharge detection sensor that can measure electrical data due to a discharge event occurring in an outlet or electrical wiring in a house or room,
The discharge detection sensor is
A function to issue an alarm when an electrical discharge event with electrical data greater than or equal to a predetermined value is detected and/or Cut off power to electrical equipment installed in the room when an electrical discharge event with electrical data greater than or equal to a predetermined value is detected. 5. The system for judging an abnormality occurrence location according to any one of claims 1 to 4, comprising a function to The sensor includes two or more detection units having different detection mechanisms,
8. The abnormality occurrence location determination system according to claim 1, wherein the determination unit determines the abnormality occurrence location by combining each data detected by the plurality of detection units. The server collects the data measured by the sensor, analyzes the data based on the collected data,
2. A system for determining an abnormality occurrence location according to claim 1, wherein the sensor performs data analysis based on data measured by itself. Items to be analyzed by data analysis performed on the server;
Items to be analyzed by data analysis performed by the sensor;
10. The abnormality occurrence location determination system according to claim 9, wherein . The items analyzed by the data analysis performed on the server are
An item that is analyzed based on data measured by a sensor over a period longer than a predetermined period,
The items analyzed by data analysis performed by the sensor are:
11. A system for determining an abnormality occurrence location according to claim 9 or 10, wherein the item is analyzed based on data measured by the sensor over a period shorter than the predetermined period. The items analyzed by the data analysis performed on the server are
It is an item that is analyzed based on data detected by multiple sensors,
The items analyzed by data analysis performed by the sensor are:
11. A system for determining an abnormality occurrence location according to claim 9 or 10, wherein the item is an item analyzed based on data measured by its own sensor. A relay device 4 that relays between the sensor and the server,
13. The abnormality occurrence site determination system according to claim 9 or 12, wherein the relay device 4 collects data measured by the sensor and performs data analysis based on the collected data.

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