JP2023135789A - Abnormality detection system - Google Patents

Abstract

To appropriately determine abnormality regarding the use object of a toilet.SOLUTION: An abnormality detection system pertaining to an embodiment comprises: an acquisition unit that acquires information that indicates the tendency of the number of times one use object to be used by the user of a toilet is used per prescribed time; and a determination unit that determines that abnormality with regard to the one use object has occurred, when the temporal tendency of the number of times the one use object is used, deviates from the temporal tendency of the number of times the whole space where the one use object is installed is used, or the temporal tendency of the number of times other use objects than the one use object are used.SELECTED DRAWING: Figure 2

Description

TECHNICAL FIELD The disclosed embodiments relate to an anomaly detection system.

BACKGROUND ART Conventionally, systems have been known that detect abnormalities in toilet objects such as toilet booths (for example, Patent Documents 1 and 2). For example, in the system described in Patent Document 1, an abnormality is determined when the number of times a household infrastructure such as a toilet is used falls below a predetermined value. For example, in the system described in Patent Document 2, when a washroom has a plurality of washbasins, a warning message is sent when the usage rate of some of the washbasins is low.

Japanese Patent Application Publication No. 2002-032883 Patent No. 6363332

However, there is room for improvement in the above techniques. For example, in the conventional system described above, if the decrease in the number of times the toilet is used is not abnormal but is due to nighttime or holidays, it may be incorrectly determined to be abnormal. As described above, there is room for improvement in the abnormality determination by the above system. Further, the above problem can be solved if toilets in the same toilet booth or the like are compared and if the number of times a toilet is used decreases, that toilet is determined to be abnormal. However, in such a toilet system, a toilet with a low usage rate is determined to be abnormal, so there is a problem that accurate abnormality determination cannot be made. Therefore, it is desired to appropriately determine abnormalities related to the intended use of a toilet such as a toilet booth in which a toilet bowl is placed.

In view of the above points, it is a challenge to appropriately determine abnormalities related to the person using the toilet.

The disclosed embodiments aim to provide an abnormality detection system that can appropriately determine an abnormality related to a toilet being used.

An anomaly detection system according to an aspect of the embodiment includes: an acquisition unit that acquires information indicating a trend in the number of times of use per predetermined time of one usage object to be used by a toilet user; The time trend of the number of uses of said one deviates from the time trend of the number of uses of the entire space in which said one use object is installed, or the time trend of the number of uses of a plurality of other use objects other than said one use object. In this case, the apparatus is characterized by comprising a determination unit that determines that an abnormality regarding the one object of use has occurred.

According to the abnormality detection system according to one aspect of the embodiment, the time trend of the number of uses per predetermined time of one use object is the time trend of the number of uses of the entire space in which the one use object is provided, or the time trend of the number of uses of one use object per predetermined time. If there is a deviation from the time trend of the usage frequency of multiple usage targets other than the usage target, it can be assumed that something has happened to that one usage target, so by identifying it as an abnormality, it is possible to discover the abnormality at an early stage. I can do it. Additionally, for example, unlike conventional systems, the anomaly detection system does not incorrectly judge non-abnormal events such as holidays or regular cleaning, such as a decrease in the number of users, as an anomaly, making it possible to detect anomalies with high accuracy. be able to. Therefore, the anomaly detection system can appropriately determine an anomaly regarding the person using the toilet. In this manner, the abnormality detection system compares the number of times a device is used in a certain period of time with a plurality of other devices, and determines that the device is abnormal if the trend deviates. Even if the number of users decreases due to holidays or regular cleaning, the number of times other devices are used will also decrease, making it possible to prevent false detections. Although examples of objects to be used will be described later, various objects may be used, such as a toilet bowl, a toilet booth equipped with a toilet bowl, a urinal, a washstand, a toilet space, a soap supply device, etc. For example, an anomaly detection system detects a decrease in the number of uses per predetermined time of a certain object of use, and an increase in the number of entries per predetermined time for the entire space, or if multiple other toilet equipment or toilet peripheral equipment (faucets, faucets, etc.) If the number of times a urinal (urinal, soap supply device, etc.) is used per predetermined time increases, it may be determined that there is an abnormality.

In the anomaly detection system according to one aspect of the embodiment, the plurality of other usage targets are of a different type from the one usage target.

According to the anomaly detection system according to one aspect of the embodiment, the trend of the number of uses per predetermined time of one usage target is that the usage of a plurality of other usage targets is of a different type from that of one usage target. If it deviates from the trend, it can be presumed that something has happened to that one target, so by determining it as an abnormality, it is possible to discover the abnormality at an early stage. In this way, the anomaly detection system detects anomalies in the usage target based on differences in usage trends between different types, by detecting anomalies in the usage target by comparing usage trends between different types. I can do it. Therefore, the anomaly detection system can appropriately determine an anomaly regarding the person using the toilet.

In the abnormality detection system according to one aspect of the embodiment, the one object to be used is any one of a toilet booth, a washbasin, a urinal, a toilet bowl, and a toilet space, and the plurality of other objects to be used are the It is characterized by being any one of a toilet booth, a wash basin, a urinal, a toilet bowl, and a toilet space other than the one to be used.

According to the abnormality detection system according to one aspect of the embodiment, the trend of the number of uses per predetermined time of one object of use, which is any one of a toilet booth, a wash basin, a urinal, a toilet bowl, and a toilet space, is determined to be consistent. If there is a deviation from the usage trend of multiple other objects such as toilet booths, wash basins, urinals, toilet bowls, and toilet spaces other than the objects of use, it is assumed that something has happened to that one object of use. Since it can be estimated, an abnormality can be discovered early by identifying it as an abnormality. In this way, the anomaly detection system detects anomalies in the usage target based on differences in usage trends between different types, by detecting anomalies in the usage target by comparing usage trends between different types. I can do it. Therefore, the anomaly detection system can appropriately determine an anomaly regarding the person using the toilet.

In the abnormality detection system according to one aspect of the embodiment, the determination unit determines whether the number of uses of the one usage target per the predetermined time is equal to the number of uses per the predetermined time of each of the plurality of other usage targets. If the value falls below a threshold value based on the above, it is determined that an abnormality has occurred regarding the one object of use.

According to the abnormality detection system according to one aspect of the embodiment, when the number of times of use of one usage target per predetermined time is less than a threshold value based on the number of times of use per predetermined time of each of a plurality of other usage targets, Since it can be assumed that something has happened to the first target, the abnormality can be detected early by determining it as an abnormality. Therefore, the anomaly detection system can appropriately determine an anomaly regarding the person using the toilet.

In the anomaly detection system according to one aspect of the embodiment, the acquisition unit obtains information indicating a trend of the number of uses of the one usage target in a collection period before the determination time, which is determined according to the determination time of the abnormality. and the determination unit determines whether the time trend of the number of uses of the one use object is the time trend of the number of uses of the entire space in which the one use object is provided during the collection period, or the time trend of the number of uses of the one use object during the collection period. The present invention is characterized in that if the number of uses of a plurality of other objects deviates from the time trend, it is determined that an abnormality has occurred regarding the one object.

According to the anomaly detection system according to one aspect of the embodiment, by varying the collection period of information used for the trend of the number of uses depending on the determination time, an abnormality regarding the toilet being used is determined using appropriate information. be able to. For example, an anomaly detection system can make a judgment that better reflects the situation at the time of judgment by setting the collection period of information used for trends in usage frequency to a predetermined period from the time of judgment (such as the most recent week or month). be able to. For example, the anomaly detection system can appropriately respond and determine anomalies even if usage conditions change depending on the season, such as when an object such as a toilet booth is used for a long period of time. Therefore, the anomaly detection system can appropriately determine an anomaly regarding the person using the toilet.

According to one aspect of the embodiment, it is possible to appropriately determine an abnormality regarding a person using a toilet.

FIG. 1 is a diagram illustrating an example of an abnormality detection process according to an embodiment. FIG. 2 is a diagram illustrating an example of an abnormality detection process according to the embodiment. FIG. 3 is a diagram illustrating an example of a toilet usage target according to the embodiment. FIG. 4 is a diagram illustrating a configuration example of an abnormality detection system according to an embodiment. FIG. 5 is a block diagram showing an example of the configuration of the analysis device according to the embodiment. FIG. 6 is a diagram illustrating an example of a placement information storage unit according to the embodiment. FIG. 7 is a flowchart illustrating an example of a procedure of processing executed by the abnormality detection system.

DESCRIPTION OF EMBODIMENTS Hereinafter, embodiments of an abnormality detection system disclosed in the present application will be described in detail with reference to the accompanying drawings. Note that the present invention is not limited to the embodiments described below.

<1. Embodiment>
<1-1. Anomaly detection processing example>
First, an overview of abnormality detection performed in the abnormality detection system 1 (see FIG. 4) according to the embodiment will be described with reference to FIGS. 1 and 2. FIGS. 1 and 2 are diagrams illustrating an example of an abnormality detection process according to an embodiment.

In FIGS. 1 and 2, a case will be described in which the abnormality detection system 1 performs abnormality determination with the toilet space 2 as a space in which a person to use the toilet is provided (also referred to as "target space"). That is, in FIGS. 1 and 2, the abnormality detection system 1 targets the objects to be used, such as the toilet bowl 10, urinal 20, washbasin 30, etc. located in the toilet space 2 ₁ (see FIG. 3), which is the target space. The abnormality detection system 1 performs abnormality determination. Note that the target space is not limited to the toilet space 2, but this point will be described later.

The processing example shown in FIGS. 1 and 2 will be described below. Specifically, in FIGS. 1 and 2, there are seven toilets: toilet #1, toilet #2, urinal #1, urinal #2, faucet #1, faucet #2, and faucet #3. The abnormality detection system 1 performs abnormality determination on the target of use. For example, the analysis device 100 (see FIG. 4) of the abnormality detection system 1 executes the processing shown in FIGS. 1 and 2.

For example, toilet bowl #1 corresponds to toilet bowls 10 _{to 11} in FIG. 3, and toilet bowl #2 corresponds to toilet bowls 10 to ₁₂ in FIG. For example, urinal #1 corresponds to urinal 20 ₁₁ in FIG. 3, and urinal #2 corresponds to urinal 20 ₁₂ in FIG. For example, faucet #1 corresponds to the basin 30 ₁₁ with a faucet in FIG. 3, and faucet #2 corresponds to the basin 30 ₁₂ with a faucet in FIG. However, faucet #3 corresponds to the washbasin ₃₀₁₃ having a faucet (faucet) in FIG.

The analysis device 100 acquires information indicating the number of times each of the detection targets, toilet bowls #1 to #2, urinals #1 to #2, and faucets #1 to #3, is used. For example, the analysis device 100 acquires information indicating the time that the object of use was used for each of toilet bowls #1 to #2, urinals #1 to #2, and faucets #1 to #3. For example, the analysis device 100 acquires information indicating the time that the object of use was in use for each of toilet bowls #1 to #2, urinals #1 to #2, and faucets #1 to #3. . For example, the analysis device 100 detects the use of each of toilet bowls #1 to #2, urinals #1 to #2, and water faucets #1 to #3 by sensors (detection units) corresponding to the objects of use. Get information indicating the time it was.

The analysis device 100 calculates the number of times each usage target is used by counting the number of times the usage target is in use. The analysis device 100 calculates the number of times each usage target is used per predetermined time by counting the number of times each usage target is in use for every predetermined time. For example, the analysis device 100 counts the number of times each usage target is in use for each hourly time period such as 7 o'clock (for example, between 7:00 and 8:00) and 8 o'clock. By doing so, the number of times each usage target is used per predetermined time is calculated.

In FIG. 1, the analysis device 100 uses each of toilet bowls #1 to #2, urinals #1 to #2, and faucets #1 to #3 for each time period such as 7 o'clock and 8 o'clock. Count the number of times it was inside. As a result, the analysis device 100 calculates the number of times each of toilet bowls #1 to #2, urinals #1 to #2, and faucets #1 to #3 are used per predetermined time. In FIG. 1, the analysis device 100 includes toilet bowl #1, toilet bowl #2, urinal #1, urinal #2, faucet #1, faucet #2, and faucet #3, as shown in aggregate data DT1. For each, information indicating the number of times of use per hour is generated.

Total data DT1 indicates the number of times each of toilet bowls #1 to #2, urinals #1 to #2, and faucets #1 to #3 are used per hour. For example, in the aggregated data DT1, the number of times toilet #1 is used at 7 o'clock is 2 times, the number of times toilet #1 is used at 8 o'clock is 10 times, and the number of times toilet #1 is used at 9 o'clock is 2 times. Indicates that the number of times it has been used is 3. In addition, the aggregate data DT1 shows that the number of times urinal #1 was used at 7 o'clock is 5 times, the number of times urinal #1 was used at 8 o'clock was 13 times, and the number of times urinal #1 was used at 9 o'clock was 5 times. Indicates that the number of times it has been used is 9. In addition, the aggregated data DT1 shows that the number of times faucet #1 was used at 7 o'clock was 47 times, the number of times faucet #1 was used at 8 o'clock was 49 times, and the number of times faucet #1 was used at 9 o'clock was 47 times. It shows that the number of times it has been used is 49 times.

As shown in the aggregated data DT1 in FIG. 1, each usage target differs in usage frequency, length of time, etc. depending on its type. Therefore, it is difficult to simply compare the aggregated usage counts for different types of usage targets. Therefore, the analysis device 100 converts the total number of usages into another value so that different types of usage targets can be compared (step S1). For example, the analysis device 100 executes a standardization process to convert the number of times each usage target is used per predetermined time so that the average is "0" and the variance is "1".

In FIG. 1, the analysis device 100 calculates the usage per hour for each of toilet bowls #1 to #2, urinals #1 to #2, and faucets #1 to #3, as shown in comparison data DT2. Convert the number of times to a converted value. For example, the analysis device 100 performs standardization processing on the number of times toilet bowl #1 is used around each time period. In FIG. 1, the analysis device 100 converts the number of uses of toilet bowl #1 in the 7 o'clock hour period "2" to a conversion value of "-1.1" through standardization processing, and The number of uses "10" is converted to a converted value "1.1", and the number of uses "3" of toilet bowl #1 at 9 o'clock is converted to a converted value "-0.8".

In addition, the analysis device 100 converts the number of uses of urinal #1 in the 7 o'clock hour "5" into a conversion value of "-0.4" through the standardization process, and converts the number of uses of urinal #1 in the 8 o'clock hour "13" is converted to the converted value "1.3", and the number of times urinal #1 is used at 9 o'clock, "9", is converted to the converted value "0.5". In addition, the analysis device 100 converts the number of uses of faucet #1 in the 7 o'clock period "47" into a converted value of "-0.9" through standardization processing, and converts the number of uses of faucet #1 in the 8 o'clock period to a converted value of "-0.9". "49" is converted to the converted value "-0.4", and the number of times faucet #1 is used at 9 o'clock, "49", is converted to the converted value "-0.4".

In this way, the analysis device 100 converts the number of uses into another value through standardization processing so that different types of usage objects can be compared. Thereby, as shown in graph GR1 in FIG. 2, the analysis device 100 can calculate the number of uses per predetermined time for different types of usage targets based on the converted value obtained by converting the number of uses per hour. can be compared to

Graph GR1 in FIG. 2 shows information regarding conversion values and threshold values for toilets #1 to #2, urinals #1 to #2, and faucets #1 to #3. The horizontal axis of graph GR1 indicates time, and the vertical axis of graph GR1 indicates a converted value obtained by converting the number of uses per hour. The more the graph GR1 moves in the positive (upward) direction of the vertical axis, the larger the converted value becomes. Each solid line in the graph GR1 corresponds to a usage target. In the graph GR1 of FIG. 2, only the solid lines corresponding to some objects of use are shown, and only the solid line corresponding to the urinal #1 is given the symbol "LN11". In other words, line LN11 of graph GR1 is the hourly converted value of urinal #1 among the target urinals #1 to #2, urinals #1 to #2, and faucets #1 to #3. shows.

The analysis device 100 uses the conversion values and threshold values of the toilets #1 to #2, the urinals #1 to #2, and the faucets #1 to #3 to It is determined whether an abnormality has occurred in faucets #1 to #2 and faucets #1 to #3 (step S2). In FIG. 2, the analysis device 100 sets threshold values from data of toilets #1 to #2, urinals #1 to #2, and faucets #1 to #3. For example, the analysis device 100 sets the abnormality detection threshold from information regarding the number of times toilets #1 to #2, urinals #1 to #2, and faucets #1 to #3 are used. For example, the analysis device 100 calculates the threshold using the converted values of toilets #1 to #2, urinals #1 to #2, and faucets #1 to #3. In FIG. 2, the analysis device 100 calculates the average and variance of the converted values of toilets #1 to #2, urinals #1 to #2, and faucets #1 to #3, and calculates the average and variance of the calculated converted values. Calculate the threshold using the variance. For example, the analysis device 100 calculates the average and variance of the converted values of toilets #1 to #2, urinals #1 to #2, and faucets #1 to #3 at predetermined intervals, and calculates the calculated average and variance. Calculate the threshold using the variance. For example, the analysis device 100 calculates the average and variance of the converted values of toilets #1 to #2, urinals #1 to #2, and faucets #1 to #3 in the 7 o'clock range, and calculates the calculated averages and variances. The threshold value for the 7 o'clock range is calculated using

Line TH1 shown as a dotted line in graph GR1 in FIG. The abnormality detection threshold is the value obtained by subtracting the value obtained by multiplying the deviation by 3. The analysis device 100 calculates threshold values for toilet bowls #1 to #2, urinals #1 to #2, and faucets #1 to #3 using the calculation formula "average-3SD." Such a threshold value is a threshold value used to determine that an abnormality has occurred when the converted value to be used is less than that value. Note that the threshold value described above is only an example, and the threshold value may be appropriately set using various information.

The analysis device 100 determines that an abnormality has occurred in the target when the converted value of the target is less than the threshold value. In FIG. 2, the analysis device 100 determines that an abnormality has occurred in the one usage target when the converted value of one usage target falls below the threshold value, that is, when the converted value of one usage target becomes less than the threshold value. It is determined that

In FIG. 2, the analysis device 100 determines that the line LN11 indicating the converted value of the number of uses of the urinal #1 is below the line TH1 indicating the threshold value, and that an abnormality has occurred in the urinal #1. For example, the analysis device 100 determines that an abnormality has occurred in the urinal #1 after the line LN11 indicating the converted value of the number of uses of the urinal #1 falls below the line TH1 indicating the threshold value. For example, the analysis device 100 determines that the converted value of the urinal #1 at around 13:00 is below the threshold, and that an abnormality has occurred in the urinal #1 before 14:00.

As described above, the analysis device 100 obtains the number of times each usage target is used per hour. The analysis device 100 arranges the number of uses of each usage target in a form that can be compared by normalizing or the like. Then, the analysis device 100 sets a threshold value for abnormality detection (average - 3SD, etc.) based on the variation in the number of uses. The analysis device 100 determines that there is an abnormality in the usage target whose value is below the threshold value. In this manner, the analysis device 100 compares the number of uses of one usage object over a certain period of time with a plurality of other usage objects, and determines that there is an abnormality when the trend deviates. For example, there is a correlation between the frequency of use of toilet objects, such as when the toilet bowl is used frequently, the water faucet is also used frequently. Therefore, the analysis device 100 can determine that there is an abnormality if there is a usage target that deviates from the trend of a plurality of usage targets. For example, in the case of regular cleaning, nighttime, emergency response, etc., the number of times of use of all the usage targets decreases in the same way, so the analysis device 100 can suppress the occurrence of false detection of an abnormality through the above-described process. I can do it.

<1-1-1. Target of abnormality detection>
Note that the above-described processing is only an example, and the anomaly detection system 1 may perform anomaly detection (abnormality determination) on a target to be used. For example, when targeting all objects to be used placed in the toilet space ₂₁ , the abnormality detection system 1 also applies to the toilet #3 corresponding to the toilet bowl _10-13 and the urinal #3 corresponding to the urinal _20-13 . Abnormality determination may be performed as a target. In this case, the abnormality detection system 1 detects the toilet #1, the toilet #2, the toilet #3, the urinal #1, the urinal #2, the urinal #3, the faucet #1, the faucet #2, and the water faucet. Abnormality determination is performed for nine usage targets of stopper #3. Note that even if the usage targets to be determined are all usage targets placed in the toilet space ₂₁ , the determination process etc. is the same as the processing shown in FIGS. 1 and 2, so detailed explanation will be omitted. do.

Further, the abnormality detection system 1 may perform abnormality determination not only by comparing different types of objects but also by comparing a plurality of objects of the same type. For example, abnormality determination may be performed for a plurality of objects of the same type, such as faucet #1, faucet #2, and faucet #3. For example, abnormality determination may be performed for a plurality of objects of the same type, which are toilet booth TB1, toilet booth TB2, and toilet booth TB3 in FIG. In this case, since the number of uses can be compared as is, the abnormality detection system 1 may perform abnormality determination without converting into a converted value. For example, when a plurality of usage targets of the same type are targets, the abnormality detection system 1 may perform abnormality determination using the number of uses itself instead of the converted value.

<1-1-2. Other examples of determination processing>
In addition, in the above example, a case was explained in which the anomaly detection system 1 makes an anomaly determination based on the number of times of use of a plurality of usage objects provided in the same space, but the information used for the determination process may be various kinds of information. You can. For example, the anomaly detection system 1 may determine that an abnormality regarding one usage object has occurred when the trend of the number of uses of one usage target deviates from the usage trend of the entire space in which one usage target is installed. .

For example, the abnormality detection system 1 determines that an abnormality regarding urinal # ₁ has occurred when the trend of the number of uses of urinal #1 installed in toilet space 2 ₁ deviates from the usage trend of toilet space 2 1. It's okay. For example, if the converted value of the number of uses of urinal #1 is on a decreasing trend, and the converted value of the number of times of use of toilet space ₂₁ is on an increasing trend or unchanged, the analysis device 100 determines that there is an abnormality in urinal #1. It is determined that this has occurred. For example, if the converted value of the number of times urinal #1 is used is decreasing or flat, and the converted value of the number of times toilet space ₂₁ is used is increasing, the analysis device 100 determines that an abnormality has occurred in urinal #1. It is determined that the

For example, the analysis device 100 determines the difference between the slope (rate of change) of the converted value of the number of uses of urinal #1 and the slope (rate of change) of the converted value of the number of uses of toilet space ₂₁ . If the predetermined conditions are met, it is determined that an abnormality has occurred in urinal #1. For example, the analysis device 100 determines that the slope (first slope) of the converted value of the number of uses of urinal #1 is lower than the slope (second slope) of the converted value of the converted value of the number of uses of toilet space ₂₁ by a predetermined value. If it is lower than that, it is determined that an abnormality has occurred in urinal #1. Note that the above is just an example, and the analysis device 100 uses various information to compare the trend of the number of times of use of one usage target with the usage trend of the entire space in which one usage target is installed, and It may be determined that an abnormality has occurred regarding the object of use.

<1-1-3. Target space>
In the above example, the case where the toilet space 2 is the target space has been described as an example, but the target space is not limited to the toilet space 2. For example, the target space may be a facility where the toilet space 2 is located. In this case, the analysis device 100 may perform abnormality detection for the toilet users including the toilet space 2. For example, the analysis device 100 may perform abnormality determination on a plurality of toilet spaces 2 provided in one commercial facility based on usage trends of the plurality of toilet spaces. For example, the analysis device 100 may target a plurality of toilet spaces 2 provided on each floor of one commercial facility. For example, the analysis device 100 determines that an abnormality regarding one toilet space has occurred when the trend of the number of times one toilet space is used deviates from the usage trend of multiple other toilet spaces other than the one toilet space. Good too.

For example, the abnormality detection system 1 may detect an abnormality in the toilet space 2 using information on a plurality of toilet spaces 2 including the toilet space 2 ₁ , toilet space 2 ₂ , etc. in FIG. 3 . For example, when comparing toilet spaces 2, that is, comparing objects of the same type, the anomaly detection system 1 can compare the number of uses without converting them to converted values. You may also make a determination. For example, when a plurality of toilet spaces 2 are targeted, the abnormality detection system 1 may perform abnormality determination using the number of times of use itself instead of the converted value. Note that even if the usage target to be determined is the toilet space 2, the determination processing and the like are the same as those shown in FIGS. 1 and 2, so a detailed explanation will be omitted.

<1-2. Example of who can use the toilet>
From here, an example of a toilet to be used will be explained using FIG. 3. FIG. 3 is a diagram illustrating an example of a toilet usage target according to the embodiment. FIG. 3 conceptually shows the physical layout of the toilet users. Note that the toilet usage targets shown in FIG. 3 are merely examples, and the toilet usage targets are elements related to the toilet that can be used by users, and any elements that can be the target of abnormality detection. It may be.

As shown in FIG. 3, the objects for use of the toilet may include toilet spaces such as toilet space 2 ₁ and toilet space 2 ₂ . The toilet space ₂₁ shown in FIG. 3 includes toilet booths TB1 to TB3 that form private room spaces, and a shared space CS1 that is a shared space that is a space other than the toilet booth. In addition, when describing the toilet booths provided in the toilet space 2, such as toilet booth TB1, toilet booth TB2, toilet booth TB3, etc., without distinguishing them, they may be described as "toilet booth TB."

In addition, when explaining toilet spaces such as toilet space 2 ₁ and toilet space 2 ₂ without distinguishing them, they may be described as "toilet space 2." In FIG. 3, the toilet spaces 2 are two toilet spaces 2 ₁ and 2 ₂ , but the toilet space 2 may include three or more toilet spaces 2. In FIG. 3, the case where the toilet space 2 has three toilet booths TB is explained as an example, but the toilet space 2 may have two or less or four or more toilet booths TB.

That is, the toilet space ₂₁ shown in FIG. 3 is only an example of the toilet space 2, and any configuration can be adopted for the toilet space 2. For example, the toilet space 2 may have a configuration including one toilet booth TB. The toilet space 2 may have any configuration as long as it includes at least one toilet that can be used by the user. For example, the toilet space 2 may have any configuration as long as it includes at least one of devices (toilet devices) such as the toilet bowl 10, the urinal 20, and the washbasin 30.

The toilet booth TB is a space (private room space) separated by a partition. Each toilet booth TB is equipped with a toilet bowl 10 and functions as a place where people defecate. Furthermore, each toilet booth TB includes an openable/closable door (not shown) for entering the toilet booth TB. Note that the door of each toilet booth TB is similar to the door provided in a general toilet booth TB, so a detailed explanation will be omitted. Furthermore, the toilet booth TB does not have to be a space completely separated by a partition, and there may be a portion at the top or bottom of the partition that is not separated from the adjacent toilet booth TB or common space. .

Moreover, when describing the shared space provided in the toilet space 2, such as the shared space CS1, without distinguishing it, it may be described as a "shared space CS." The shared space CS is a shared area in the toilet space 2 where multiple people can stay at the same time. For example, the shared space CS has an entrance to the toilet space 2, washroom facilities such as the washbasin 30, and a route to each toilet booth TB. The shared space CS functions as a place for entering the toilet space 2, washing hands, etc., moving to each toilet booth TB, etc. Note that when the toilet space 2 functions as a men's toilet space 2, a urinal 20 is arranged in the shared space CS. That is, the shared space CS may also function as a place where people defecate.

Next, the arrangement of each device in the toilet space 2 will be explained using the toilet space ₂₁ shown in FIG. 3 as an example. The toilet bowls 10 to ₁₁ are arranged in the toilet booth TB1. Further, the toilet bowls ₁₀₁₂ are arranged in the toilet booth TB2. Further, the toilet bowl ₁₀₁₃ is arranged in the toilet booth TB3. In addition, when describing the toilets without distinguishing them, such as the toilet bowl 10 ₁₁ , the toilet bowl 10 ₁₂ , the toilet bowl 10 ₁₃ , etc., they may be described as "the toilet bowl 10".

In FIG. 3, the case where the number of toilet bowls 10 is three is shown as an example, but any number of toilet bowls 10 can be adopted as long as the desired processing can be performed. may be two or less or four or more. Note that details such as the functions of the toilet bowl 10 will be described later. Furthermore, the description of the toilet bowl 10 as a subject of processing such as information collection and determination may be read as the toilet booth TB in which the toilet bowl 10 is arranged. Furthermore, the description of the toilet booth TB as a subject of processing such as information collection and determination may be read as the toilet bowl 10 disposed in the toilet booth TB. For example, the toilet bowls _10-11 may be read as toilet booth TB1, and the toilet booth TB1 may be read as toilet bowls _10-11 .

The urinals 20 ₁₁ , 20 ₁₂ , and 20 ₁₃ are arranged in the shared space CS1. When describing the urinals arranged in the toilet space 2 without distinguishing them, such as the urinals 20 ₁₁ , 20 ₁₂ , and 20 ₁₃ , they may be referred to as "urinals 20." In FIG. 3, the case where the number of urinals 20 is three is shown as an example, but any number of urinals 20 can be adopted as long as the desired processing can be performed. may be two or less or four or more. Note that details such as the functions of the urinal 20 will be described later.

The wash basin 30 ₁₁ , the wash basin 30 ₁₂ , and the wash basin 30 ₁₃ are arranged in the shared space CS1. When describing the urinals arranged in the toilet space 2 without distinguishing them, such as the washbasin 30 ₁₁ , the washbasin 30 ₁₂ , the washbasin 30 ₁₃ , etc., the urinals may be referred to as "the washbasin 30". In FIG. 3, the case where the number of washbasins 30 is three is shown as an example, but any number of washbasins 30 can be adopted as long as the desired processing can be performed. may be two or less or four or more. Note that details such as the function of the washbasin 30 will be described later.

<1-3. Layout of toilet space>
The arrangement of the toilet space 2 will be briefly explained. The toilet space 2 may be provided in any location as long as the toilet space 2 can be physically arranged. That is, any location can be adopted as the location where the toilet space 2 is provided. For example, the toilet space 2 may be provided in a commercial facility such as a department store. Further, the place where the toilet space 2 is provided is not limited to a commercial facility such as a store, but may be a variety of other facilities. For example, the location where the toilet space 2 is provided may be an amusement park, a stadium, an office building, or the like. For example, the place where the toilet space 2 is provided may be a toilet provided in a region such as a tourist spot. For example, the location where the toilet space 2 is provided may be a park, a parking lot, or the like. That is, the toilet may be provided outdoors, such as in a park or a parking lot. In this way, the place where the toilet space 2 is provided may be any place as long as there is a space where the toilet space 2 can be placed.

<1-4. Configuration of anomaly detection system>
Next, the configuration of the abnormality detection system 1 will be explained with reference to FIG. 4. FIG. 4 is a diagram illustrating a configuration example of an abnormality detection system according to an embodiment. Specifically, FIG. 4 shows the configuration of the abnormality detection system 1.

The abnormality detection system 1 includes an information processing device (analysis device 100 in FIG. 4) that executes abnormality detection processing. Further, the abnormality detection system 1 includes an information processing device (collection device 50 in FIG. 4) that collects information used in abnormality detection processing. The abnormality detection system 1 shown in FIG. 4 includes an analysis device 100, a collection device 50, a detection section 21, a detection section 101, a detection section 201, and a detection section 301. Note that the anomaly detection system 1 may include multiple analysis devices 100, multiple collection devices 50, multiple detection units 21, multiple detection units 101, multiple detection units 201, multiple detection units 301, etc. good.

In FIG. 4, the objects of use of the toilet to be detected by the abnormality detection system 1 include at least one of the toilet space 2, the toilet bowl 10, the urinal 20, and the washbasin 30. In addition, as shown in FIG. 3, the toilets that are subject to abnormality detection by the abnormality detection system 1 include a plurality of toilet spaces 2, a plurality of toilet bowls 10, a plurality of urinals 20, and a plurality of washbasins 30. etc. may be included.

The toilet space 2 is provided in a space such as a facility, and is a space where users who use the toilet enter and exit. For example, the toilet space 2 includes a toilet booth TB, a shared space CS, etc., and is a space in which structures related to the toilet are arranged. For example, the toilet space 2 ₁ shown in FIG. 3 includes toilet booths TB1 to TB3 in which a plurality of urinals 10 ₁₁ , 10 ₁₂ , 10 ₁₃ are arranged, and a plurality of urinals 20 ₁₁ , 20 ₁₂ , 20 ₁₃ , and a shared space CS1 in which a plurality of wash basins 30 ₁₁ , 30 ₁₂ , 30 ₁₃ are arranged. Note that the toilet space 2 does not need to be included in the abnormality detection system 1.

The detection unit 21 of the toilet space 2 performs detection regarding the toilet space 2. The detection unit 21 functions as a detection unit that detects entry and exit of a person (user) into the toilet space 2. The detection unit 21 may be realized by various sensors. For example, the detection unit 21 may be various sensors such as a human body detection sensor, an action detection sensor, a presence detection sensor, etc. The detection unit 21 may be an image sensor (behavior detection sensor) that images the entrance and exit of the toilet space 2. Note that the above is an example, and the detection unit 21 may be realized by any means as long as it is capable of detecting the entry and exit of the user into the toilet space 2.

The detection unit 21 in the toilet space 2 includes, for example, a communication unit (for example, a communication circuit) having a wireless communication function, and is connected to the collection device 50 so as to be able to communicate wirelessly. For example, when the detection unit 21 detects a person entering or exiting the toilet space 2, the detection unit 21 collects detection information indicating the detection, the date and time of the detection, etc. together with identification information (ID, etc.) that identifies the toilet space 2. Send to 50. For example, the detection unit 21 transmits detection information indicating the time until a person who enters the toilet space 2 leaves (usage time) to the collection device 50 together with identification information (ID, etc.) that identifies the toilet space 2. . Note that if the toilet space 2 is not included in the target of abnormality detection by the abnormality detection system 1, the detection unit 21 may not be included in the abnormality detection system 1.

The toilet bowl 10 is a toilet used when a user uses the toilet to excrete stool or urine. The toilet bowl 10 is placed in a toilet booth TB provided within the toilet space 2. For example, the toilet bowl 10 has a toilet seat device that includes a toilet seat on which a user sits, and an operating section for operating a nozzle for discharging water for flushing. In addition to the toilet seat device, the toilet bowl 10 has various configurations such as a toilet lid and a toilet bowl to realize the function of the toilet bowl, but detailed explanation thereof will be omitted. Note that the toilet bowl 10 does not need to be included in the abnormality detection system 1.

The detection unit 101 of the toilet bowl 10 performs detection regarding the toilet bowl 10 . The detection unit 101 of the toilet bowl 10 performs detection regarding the toilet booth TB in which the toilet bowl 10 is placed. The detection unit 101 functions as a detection unit that detects entry and exit of a person (user) to and from the toilet booth TB in which the toilet bowl 10 is arranged. The detection unit 101 may be realized by various sensors. For example, the detection unit 101 may be various sensors such as a human body detection sensor, an action detection sensor, a seating detection sensor, etc. The detection unit 101 may be a door sensor that is provided on the door of the toilet booth TB and detects whether the door of the toilet booth TB is opened or closed. The detection unit 101 may be an image sensor that images the vicinity of the door of the toilet booth TB. The detection unit 101 may be a seating sensor that detects whether the user is sitting on the toilet bowl 10. Note that the above is an example, and the detection unit 101 may be realized by any means as long as it can detect when a user enters or exits the toilet bowl 10. Note that the toilet bowl 10 and the detection unit 101 may be integrated. In this case, the toilet bowl 10 having the detection unit 101 may be included in the abnormality detection system 1. Note that the location of the detection unit 101 is not particularly limited, and it may be installed on the ceiling, wall, floor, etc. of the toilet booth TB, or may be mounted on the toilet seat of the toilet bowl 10.

The detection unit 101 of the toilet bowl 10 includes, for example, a communication unit (for example, a communication circuit) having a wireless communication function, and is connected to the collection device 50 so as to be able to communicate wirelessly. For example, when the detection unit 101 detects that a person enters or exits the toilet booth TB in which the toilet bowl 10 is arranged, the detection unit 101 sends detection information indicating the detection, the date and time of the detection, etc. It is transmitted to the collection device 50 along with identification information (ID, etc.) for identifying the placed toilet booth TB. For example, the detection unit 21 transmits the detection information indicating the time until a person who enters the toilet booth TB in which the toilet bowl 10 is arranged leaves the room (usage time) to the toilet booth TB in which the toilet bowl 10 or the toilet booth TB in which the toilet bowl 10 is arranged. It is transmitted to the collection device 50 together with identification information (ID, etc.) for identifying the booth TB. Note that if the toilet bowl 10 is not included in the target of abnormality detection by the abnormality detection system 1, the detection unit 101 may not be included in the abnormality detection system 1.

The urinal 20 is provided in the men's toilet space 2 and is used by a user of the toilet to urinate. The urinal 20 is arranged in a shared space CS provided within the toilet space 2. Note that the urinal 20 does not need to be included in the abnormality detection system 1.

The detection unit 201 of the urinal 20 performs detection regarding the urinal 20. The detection unit 201 functions as a detection unit that detects the use of the urinal 20 by a person (user). The detection unit 201 may be realized by various sensors. For example, the detection unit 201 may be various sensors such as a human body detection sensor, an action detection sensor, a presence detection sensor, etc. The detection unit 201 may be a proximity sensor that detects the proximity of a person to the urinal 20. Note that the above is an example, and the detection unit 201 may be realized by any means as long as it can detect the use of the urinal 20 by the user. Note that the urinal 20 and the detection section 201 may be integrated. In this case, the urinal 20 having the detection unit 201 may be included in the abnormality detection system 1. For example, the detection unit 201 is provided in front of the urinal 20 and detects a person located in front of the urinal 20. Note that the arrangement position of the detection unit 201 is not particularly limited, and may be installed on the ceiling, wall, floor, etc. of the shared space CS.

The detection unit 201 of the urinal 20 includes, for example, a communication unit (for example, a communication circuit) having a wireless communication function, and is connected to the collection device 50 so as to be able to communicate wirelessly. For example, when the detection unit 201 detects that a person is using the urinal 20, the detection unit 201 sends detection information indicating the detection, the date and time of detection, etc., to the collection device 50 along with identification information (ID, etc.) that identifies the urinal 20. Send. For example, the detection unit 21 identifies the urinal 20 by using detection information indicating the time (use time) during which the urinal 20 is being used (for example, from when the person approaches the urinal 20 to when the person leaves). It is transmitted to the collection device 50 together with identification information (ID, etc.). Note that if the urinal 20 is not included in the target of abnormality detection by the abnormality detection system 1, the detection unit 201 may not be included in the abnormality detection system 1.

The washbasin 30 is used when a user uses the toilet to wash his hands, wash his face, or look in the mirror. The washbasin 30 is arranged in a shared space CS provided within the toilet space 2. For example, the washbasin 30 has a faucet that functions as an automatic faucet and a bowl portion that receives water from the faucet. Note that the washbasin 30 does not need to be included in the abnormality detection system 1.

The detection unit 301 of the washbasin 30 performs detection regarding the washbasin 30. The detection unit 301 functions as a detection unit that detects the use of the washbasin 30 by a person (user). The detection unit 301 may be realized by various sensors. For example, the detection unit 301 may be various sensors such as a human body detection sensor, an action detection sensor, a presence detection sensor, etc. The detection unit 301 may be a proximity sensor that detects the proximity of a person's body to the washbasin 30. Note that the above is an example, and the detection unit 301 may be realized by any means as long as it can detect the use of the washbasin 30 by the user. Note that the washbasin 30 and the detection unit 301 may be integrated. In this case, the washbasin 30 having the detection unit 301 may be included in the abnormality detection system 1. For example, the detection unit 301 is provided near the faucet of the washbasin 30 and detects the proximity of a person's hand to the faucet of the washbasin 30. Note that the location of the detection unit 301 is not particularly limited, and may be installed on the ceiling, wall, floor, etc. of the shared space CS.

The detection unit 301 of the washbasin 30 includes, for example, a communication unit (for example, a communication circuit) having a wireless communication function, and is connected to the collection device 50 so as to be able to communicate wirelessly. For example, when the detection unit 301 detects that a person is using the washbasin 30, the detection unit 301 sends detection information indicating the detection and the date and time of the detection to the collection device 50 along with identification information (ID, etc.) that identifies the washbasin 30. Send. For example, the detection unit 21 uses detection information indicating the time (use time) while a person is using the washbasin 30 (for example, while the faucet of the washbasin 30 is spouting water) to identify the washbasin 30. It is transmitted to the collection device 50 together with information (ID etc.). Note that if the washbasin 30 is not included in the target of abnormality detection by the abnormality detection system 1, the detection unit 301 may not be included in the abnormality detection system 1.

The collection device 50 collects various information. For example, the collection device 50 may be a gateway device or the like. The collection device 50 is a device that collects detection information such as sensor data detected for each object of use. The collection device 50 collects information from other devices. The collection device 50 collects detection information that is information detected about the toilet space 2, the toilet bowl 10, the urinal 20, the washbasin 30, and the like. The collection device 50 receives detection information from devices that detect information about the toilet space 2, the toilet bowl 10, the urinal 20, the washbasin 30, and the like.

The collection device 50 receives the detection result of the toilet space 2 from the detection unit 21 of the toilet space 2 . The collection device 50 receives detection information about the toilet bowl 10 from the detection unit 101 of the toilet bowl 10 . The collection device 50 receives detection information about the urinal 20 from the detection unit 201 of the urinal 20 . The collection device 50 receives detection information about the washbasin 30 from the detection unit 301 of the washbasin 30 . The collection device 50 is connected to the detection section 21 of the toilet space 2, the detection section 101 of the toilet bowl 10, the detection section 201 of the urinal 20, and the detection section 301 of the washbasin 30 so as to be able to communicate wirelessly. Note that the collection device 50 may be connected to devices that detect information such as the toilet space 2, the toilet bowl 10, the urinal 20, and the washbasin 30 in any way as long as it is possible to send and receive information; may be communicatively connected.

The collection device 50 may be placed outside the toilet space 2 or within the toilet space 2. For example, the collection device 50 may be a server device placed in a facility where the toilet space 2 is provided. Note that the above is just an example, and if it is possible to communicate with the detection unit 21, detection unit 101, detection unit 201, and detection unit 301, collect information, and send the collected information to the analysis device 100, the collection device Any configuration and arrangement of the device 50 can be adopted. Further, the collection device 50 may be integrated with the analysis device 100. In this case, the analysis device 100 has the function of the collection device 50, and the analysis device 100 collects information on objects to be used, such as the toilet space 2, the toilet bowl 10, the urinal 20, and the washbasin 30.

The analysis device 100 is an information processing device (computer) that executes a determination process to determine whether or not an abnormality has occurred regarding the person using the toilet. For example, the analysis device 100 may be a cloud server or the like. The analysis device 100 is communicably connected to the collection device 50 via a predetermined network N such as the Internet, either wirelessly or by wire. Note that the analysis device 100 may be connected to the collection device 50 in any way as long as information can be transmitted and received, and the analysis device 100 may be connected to the collection device 50 in a wireless or wired manner. good.

The analysis device 100 uses the information collected by the collection device 50 to execute a determination process to determine whether an abnormality related to the person using the toilet has occurred. The analysis device 100 uses the collected information, which is the information received from the collection device 50, to execute a determination process to determine whether or not an abnormality has occurred regarding the person using the toilet. The analysis device 100 uses the collected information to determine whether an abnormality regarding the toilet space 2 has occurred. The analysis device 100 uses the collected information to determine whether or not an abnormality regarding the toilet bowl 10 has occurred. The analysis device 100 uses the collected information to determine whether an abnormality regarding the urinal 20 has occurred. The analysis device 100 uses the collected information to determine whether an abnormality regarding the washbasin 30 has occurred.

<1-5. Functional configuration of analysis device>
The functional configuration of the analysis device will be described below with reference to FIG. FIG. 5 is a block diagram showing an example of the configuration of the analysis device according to the embodiment.

As shown in FIG. 5, the analysis device 100 includes a communication section 110, a storage section 120, and a control section 130. Note that the analysis device 100 has an input section (for example, a keyboard, a mouse, etc.) that accepts various operations from the administrator of the analysis device 100, and a display section (for example, a liquid crystal display, etc.) for displaying various information. It's okay.

The communication unit 110 is realized by, for example, a communication circuit. The communication unit 110 is connected to a predetermined network N (see FIG. 4) by wire or wirelessly, and transmits and receives information to and from an external information processing device. For example, the communication unit 110 is connected to a predetermined network N (see FIG. 4) by wire or wirelessly, and transmits and receives information to and from other devices such as the collection device 50.

The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. For example, the storage unit 120 is a computer-readable recording medium that non-temporarily records data used by an abnormality detection program such as a determination process.

The storage unit 120 according to the embodiment includes a placement information storage unit 121 and a collection information storage unit 122, as shown in FIG. Note that the storage unit 120 stores not only the arrangement information storage unit 121 and the collected information storage unit 122 but also various information necessary for processing. For example, the storage unit 120 stores various information (for example, information regarding threshold values) used in the determination process. For example, the storage unit 120 stores a function for calculating a threshold value used in the determination process, and information about the calculated function.

The arrangement information storage unit according to the embodiment stores various information regarding the arrangement of various objects to be detected by the abnormality detection system 1. For example, the arrangement information storage section stores information regarding the arrangement of the toilet space 2, the toilet bowl 10, the urinal 20, and the washbasin 30. FIG. 6 is a diagram illustrating an example of a placement information storage unit according to the embodiment. The layout information storage shown in FIG. 6 includes items such as "facility", "toilet space", "layout location", and "layout element".

"Facility" indicates the location where the toilet space is located. Note that the "facility" is not limited to a structure, and various locations can be registered as long as it is a location where a toilet space is located. “Toilet space” indicates identification information for identifying each toilet space. In FIG. 6, for the sake of explanation, the symbols attached to each toilet space, such as "2 ₁ " and "2 ₂ ", are shown in "toilet space". For example, the toilet space ID, etc.) are stored.

“Placement location” indicates identification information for identifying each placement location. In FIG. 6, for the sake of explanation, the symbols attached to each configuration of the toilet space 2, such as "TB1", "TB2", "TB3", and "CS1", are shown in the "placement", but the "placement" , information (eg, placement location ID, etc.) that allows identification of the placement location is stored.

The "placement element" indicates identification information for identifying the user of the toilet placed at the corresponding placement location. For example, the "arrangement element" indicates identification information for identifying objects to be used in the toilet, such as the toilet bowl 10, the urinal 20, and the washbasin 30, which are arranged at the corresponding arrangement location. In FIG. 6, for the sake of explanation, "10 ₁₁ ", "10 ₁₂ ", "10 ₁₃ ", "20 ₁₁ ", "20 ₁₂ ", "20 ₁₃ ", "30 ₁₁ ", "30 ₁₂ '', ``30 <sub>13</sub> '', etc. are shown in the figure, but any information may be registered in the ``arrangement element'' as long as it is possible to identify each target of use.

For example, the "placement element" includes information that can identify the urinal placed at the corresponding placement location (e.g., urinal ID, etc.), identification information for identifying the urinal (e.g., urinal ID, etc.), or Identification information (eg, washbasin ID, etc.) for identifying the washbasin is stored.

In the example of FIG. 6, the toilet space ₂₁ identified by "2 ₁ " includes toilet booth TB1 identified by "TB1", toilet booth TB2 identified by "TB2", and toilet booth TB3 identified by "TB3". This indicates that the toilet booth TB3 is included as an arrangement location. Further, it is shown that the shared space CS1 identified by "CS1" is included as an arrangement location in the toilet space ₂₁ .

It is shown that the toilet bowl 10 ₁₁ identified by “10 ₁₁ ” is arranged in the toilet booth TB1, which is the location identified by “TB1”. Further, it is shown that the toilet bowl 10 ₁₂ identified by “10 ₁₂ ” is arranged in the toilet booth TB2, which is the arrangement location identified by “TB2”. Further, it is shown that the toilet bowl 10 ₁₃ identified by “10 ₁₃ ” is arranged in the toilet booth TB3, which is the arrangement location identified by “TB3”.

In addition, in the shared space CS1, which is the location identified by "CS1", there are urinals 20 ₁₁ identified by "20 ₁₁ ", urinals 20 ₁₂ identified by "20 ₁₂ ", and urinals "20 ₁₃ ". The identified urinal ₂₀₁₃ is shown to be placed. Further, in the shared space CS1, a wash basin 30 ₁₁ identified by "30 ₁₁ ", a wash basin 30 ₁₂ identified by "30 ₁₂ ", and a wash basin 30 ₁₃ identified by "30 ₁₃ " are arranged. Show that.

Note that the arrangement information storage section 121 is not limited to the above, and may store various information depending on the purpose. For example, the placement information storage unit 121 stores information (such as a sensor ID) that can identify a sensor (sensing unit) that detects sensor data (sensing information) of each usage target to be detected, such as a sensor ID, etc. It may also be stored in association with the target.

Information (for example, latitude and longitude information) indicating the specific location of the object to be used in each toilet may be stored in association with the object to be used in each toilet. For example, information indicating the specific location of each toilet space 2 (for example, latitude and longitude information) may be stored in association with each toilet space 2. For example, information indicating the specific location of each toilet bowl 10 (for example, latitude and longitude information) may be stored in association with each toilet bowl 10. For example, the placement information storage unit 121 stores information detected by each urinal 20 and information indicating the specific placement position of each urinal 20 (for example, latitude and longitude information) in association with each urinal 20. It's okay. For example, the placement information storage unit 121 stores information detected by each washbasin 30 and information indicating the specific placement position of each washbasin 30 (for example, latitude and longitude information) in association with each washbasin 30. It's okay.

The collected information storage unit 122 stores detection information such as sensor data collected for each toilet to be used. The collected information storage unit 122 stores information received from the collecting device 50. The collected information storage section 122 stores detection information detected by the detection section 21, the detection section 101, the detection section 201, and the detection section 301. For example, the collected information storage unit 122 stores the usage history of each toilet to be used in association with information identifying the usage of each toilet.

For example, the collected information storage unit 122 stores the date and time when each toilet object was used in association with information identifying the object of use of each toilet. The collected information storage unit 122 stores the date and time when each toilet bowl 10 was used in association with information for identifying each toilet bowl 10. The collected information storage unit 122 stores the date and time when the toilet booth TB in which each toilet bowl 10 is arranged is used, in association with information identifying each toilet booth TB. The collected information storage unit 122 stores the date and time when each urinal 20 was used in association with information that identifies each urinal 20. The collected information storage unit 122 stores the date and time when each washbasin 30 was used in association with information that identifies each washbasin 30. The collected information storage unit 122 stores the date and time when each toilet space 2 was used in association with information that identifies each toilet space 2.

For example, the collected information storage unit 122 stores the date and time when each toilet object was used, and the usage time for that use, in association with information identifying the object to use each toilet. The collected information storage unit 122 stores the date and time when each toilet bowl 10 was used, and the usage time of the toilet bowl 10 in association with information that identifies each toilet bowl 10. The collected information storage unit 122 stores the date and time when the toilet booth TB in which each toilet bowl 10 is disposed is used, and the usage time in association with information identifying each toilet booth TB. The collected information storage unit 122 stores the date and time when each urinal 20 was used, and the usage time of the urinal 20 in association with information that identifies each urinal 20. The collected information storage unit 122 stores the date and time when each washbasin 30 was used, and the usage time of each washbasin 30 in association with information that identifies each washbasin 30. The collected information storage unit 122 stores the date and time when each toilet space 2 was used, and the usage time during its use, in association with information that identifies each toilet space 2.

Note that the above is just an example, and the collected information storage unit 122 stores various collected information.

Returning to FIG. 5, the explanation will be continued. The control unit 130 is configured such that a program (for example, an abnormality detection program such as a determination process according to the present disclosure) stored inside the analysis device 100 is stored in a RAM by, for example, a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit). etc. as a work area. Further, the control unit 130 is a controller, and is realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 5, the control unit 130 includes an acquisition unit 131, a calculation unit 132, a determination unit 133, and a transmission unit 134, and realizes or executes information processing functions and operations described below. . Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 5, and may be any other configuration as long as it performs information processing to be described later.

The acquisition unit 131 acquires various information. The acquisition unit 131 acquires various information from the storage unit 120. The acquisition unit 131 receives information from other devices. The acquisition unit 131 receives information (detection information, etc.) collected by the collection device 50 from the collection device 50 . The acquisition unit 131 receives the detection information detected about the person using the toilet from the collection device 50. The acquisition unit 131 receives, from the collection device 50, detection information detected by a sensor or the like corresponding to the person using the toilet.

The acquisition unit 131 receives detection information detected by the detection unit 21 regarding the toilet space 2 from the collection device 50 . The acquisition unit 131 receives detection information detected by the detection unit 101 regarding the toilet bowl 10 from the collection device 50 . The acquisition unit 131 receives from the collection device 50 the detection information detected by the detection unit 101 regarding the toilet booth TB in which the toilet bowl 10 is placed. The acquisition unit 131 receives detection information detected by the detection unit 201 regarding the urinal 20 from the collection device 50 . The acquisition unit 131 receives detection information detected by the detection unit 301 regarding the washbasin 30 from the collection device 50 .

The acquisition unit 131 acquires information used for processing from the storage unit 120. The acquisition unit 131 acquires information used for determination processing from the collected information storage unit 122. The acquisition unit 131 acquires information corresponding to the user of the toilet to be determined from the collected information storage unit 122. The acquisition unit 131 acquires information used for calculating statistics from the collected information storage unit 122. The acquisition unit 131 acquires information used for calculating the threshold value from the collected information storage unit 122.

The acquisition unit 131 acquires information indicating a trend in the number of times of use per predetermined time of one object to be used by a toilet user. The acquisition unit 131 acquires information indicating a trend in the number of times an object of use, which is any one of a toilet booth, a washbasin, a urinal, a toilet bowl, and a toilet space, is used per predetermined time. The acquisition unit 131 acquires information indicating a trend in the number of times a usage target has been used during a collection period before the determination time, which is determined according to the abnormality determination time. The acquisition unit 131 acquires information indicating trends in the number of times of use per predetermined time of a plurality of other usage targets other than one usage target. The acquisition unit 131 acquires information indicating trends in the number of times of use of a plurality of other usage targets during a collection period before the determination time determined according to the abnormality determination time.

The calculation unit 132 performs calculation processing. The calculation unit 132 performs calculation processing using various information stored in the storage unit 120. The calculation unit 132 performs calculation processing using various types of information acquired by the acquisition unit 131.

The calculation unit 132 calculates various values used in the determination process. The calculation unit 132 calculates a threshold value used in the determination process. The calculation unit 132 calculates statistics regarding the usage target to be determined.

The calculation unit 132 calculates statistics regarding the usage target. The calculation unit 132 calculates the statistics of the time that the usage object is used by the user for a predetermined period or number of times.

The calculation unit 132 executes calculation processing to calculate the number of uses. The calculation unit 132 calculates the number of times each usage target is used. The calculation unit 132 executes processing to normalize predetermined information. The calculation unit 132 executes processing to normalize the number of times the usage target is used per predetermined time. The calculation unit 132 performs standardization processing to set the average to "0" and the variance to "1" for the number of times the usage target is used per predetermined time. The calculation unit 132 executes a standardization process of converting the number of uses per predetermined time of the usage target so that the average is "0" and the variance is "1".

Note that the calculation unit 132 may convert the information in any manner as long as the information of each usage target can be compared. For example, the calculation unit 132 performs normalization processing to convert the number of times the usage target is used per predetermined time into a value between 0 and 1. For example, the calculation unit 132 performs a normalization process to convert the number of uses of the usage target per predetermined time from a minimum value of 0 to a maximum value of 1.

The determination unit 133 performs determination processing. The determination unit 133 performs determination processing using various information stored in the storage unit 120. The determination unit 133 performs determination processing using various types of information acquired by the acquisition unit 131. The determination unit 133 performs determination processing using various values (information) calculated by the calculation unit 132.

The determination unit 133 performs determination processing using the threshold value calculated by the calculation unit 132. The determination unit 133 performs determination processing using the statistics regarding the usage target calculated by the calculation unit 132. The determination unit 133 determines whether or not an abnormality has occurred regarding the one usage target, using the statistics regarding the one usage target to be determined.

The determining unit 133 determines whether the time trend of the number of uses of one use object is the time trend of the number of uses of the entire space in which the one use object is provided, or the number of uses of a plurality of other use objects other than the one use object. If it deviates from the time trend, it is determined that an abnormality has occurred regarding the one object of use. The determination unit 133 determines that there is an abnormality regarding the one usage target when the trend of the usage frequency of one usage target deviates from the usage trend of multiple other usage targets that are usage targets of a different type from the one usage target. It is determined that this has occurred.

The determination unit 133 determines the number of uses of one object from the usage trends of a plurality of other objects such as toilet booths, wash basins, urinals, toilet bowls, and toilet spaces other than the one object. If the trends deviate, it is determined that an abnormality has occurred regarding one usage target. The determination unit 133 determines that an abnormality regarding one usage object has occurred when the number of usages of one usage target per predetermined time is less than a threshold value based on the number of usages per predetermined time of each of the plurality of other usage targets. judge. The determination unit 133 determines whether the time trend of the number of uses of one use object is the time trend of the number of times of use of the entire space in which the one use object is provided during the collection period, or the number of uses of a plurality of other use objects during the collection period. If it deviates from the time trend, it is determined that an abnormality has occurred regarding the one object of use.

The transmitter 134 transmits information to an external information processing device. The transmitting unit 134 transmits information regarding the determination result by the determining unit 133 to an administrator device used by an administrator who manages the abnormality detection system 1. When the determination by the determining unit 133 indicates an abnormality, the transmitting unit 134 transmits information regarding the person using the toilet determined to be abnormal. When the determination by the determining unit 133 indicates an abnormality, the transmitting unit 134 transmits information identifying the person using the toilet determined to be abnormal to the administrator device. When the determination by the determining unit 133 indicates an abnormality, the transmitting unit 134 transmits information indicating the location where the person to use the toilet determined to be abnormal is located to the administrator device. Note that the transmitter 134 may transmit information to the collection device 50. For example, the transmitting unit 134 transmits information requesting information collected by the collecting device 50 to the collecting device 50.

<1-6. Processing flow>
From here, the processing flow of the abnormality detection processing will be described using FIG. 7. FIG. 7 is a flowchart illustrating an example of a procedure of processing executed by the abnormality detection system.

The abnormality detection system 1 acquires information indicating the trend of the number of uses per predetermined time of one object to be used by the user of the toilet (step S101). For example, the analysis device 100 of the abnormality detection system 1 calculates the number of uses per predetermined time of one object of use, which is any one of the toilet booth TB, the wash basin 30, the urinal 20, the toilet bowl 10, and the toilet space 2. Get information indicating.

The abnormality detection system 1 is configured such that the time trend of the number of uses of one use object is the time trend of the number of times of use of the entire space in which the one use object is installed, or the use of multiple other use objects other than the one use object. If the number of times deviates from the time trend, it is determined that an abnormality has occurred regarding one usage target (step S102). For example, the analysis device 100 of the anomaly detection system 1 detects when the number of uses per predetermined time of one use object is less than a threshold value based on the number of uses per predetermined time of each of a plurality of other use objects. It is determined that an abnormality has occurred regarding the object of use.

Further advantages and modifications can be easily deduced by those skilled in the art. Therefore, the broader aspects of the invention are not limited to the specific details and representative embodiments shown and described above. Accordingly, various changes may be made without departing from the spirit or scope of the general inventive concept as defined by the appended claims and their equivalents.

1 Abnormality detection system 2 Toilet space 10 Urinal 20 Urinal 30 Wash basin 50 Collection device 100 Analysis device 110 Communication section 120 Storage section 121 Arrangement information storage section 122 Collection information storage section 130 Control section 131 Acquisition section 132 Calculation section 133 Judgment section 134 Transmitter CS Shared space TB Toilet booth

Claims (5)

an acquisition unit that acquires information indicating a trend in the number of uses per predetermined time of one object to be used by a toilet user;
The time trend of the number of uses of said one use object is the time trend of the number of uses of the entire space in which said one use object is installed, or the time trend of the use times of a plurality of other use objects other than said one use object. a determination unit that determines that an abnormality regarding the first usage object has occurred when there is a deviation from the trend;
An anomaly detection system characterized by having. The other objects of use are:
The abnormality detection system according to claim 1, characterized in that the one usage target is a different type of usage target. The first object to be used is
Either a toilet booth, washbasin, urinal, toilet bowl, or toilet space,
The other objects of use are:
The abnormality detection system according to claim 1 or 2, wherein the abnormality detection system is any one of a toilet booth, a wash basin, a urinal, a toilet bowl, and a toilet space other than the one object to be used. The determination unit includes:
If the number of uses of the one use object per the predetermined time is less than a threshold based on the number of uses per the predetermined time of each of the plurality of other use objects, it is determined that an abnormality regarding the one use object has occurred. The abnormality detection system according to any one of claims 1 to 3, wherein the abnormality detection system determines. The acquisition unit includes:
Obtaining information indicating a trend of the number of uses of the one usage target in a collection period before the determination time determined according to the abnormality determination time;
The determination unit includes:
The time trend of the number of uses of the one use object is the time trend of the number of uses of the entire space in which the one use object is provided during the collection period, or the number of uses of the plurality of other use objects during the collection period. The abnormality detection system according to any one of claims 1 to 4, wherein when the abnormality detection system deviates from a time trend, it is determined that an abnormality regarding the one object of use has occurred.

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