JP7287366B2 - Excrement management system, excretion information management method, program, edge server and toilet seat device - Google Patents

Description

The disclosed embodiments relate to an excrement management system, an excretion information management method, a program, an edge server, and a toilet seat device.

2. Description of the Related Art Conventionally, in nursing care facilities and the like, nursing care staff record the defecation status of residents in order to manage the health conditions of residents. As a device capable of reducing the burden of recording such defecation conditions, there is known a device for estimating the health condition of a human body by taking an image of excrement excreted in a toilet and analyzing the image. (See Patent Document 1, for example).

The data detection device described in Patent Document 1 includes an image capturing unit that captures an image of excrement, and a data processing/analysis unit that analyzes the color and shape of excrement from the captured image. The health condition of the human body can be estimated by the data processing/analysis unit associating the color and shape analyzed from the excrement image with the health condition.

JP 2007-252805 A

In order to analyze the color and shape from excrement images, it is preferable to use a cloud server with abundant computational resources and storage. On the other hand, since image data has a relatively large amount of data, there is a problem that the amount of data communication becomes very large when all the image data captured by the image capturing unit is transmitted to the cloud server.

The disclosed embodiments are intended to solve the above-described problems, and provide an excrement management system, excretion information management method, program, An object is to provide an edge server and a toilet seat device.

An excrement management system according to one aspect of an embodiment is an excrement management system that collects and manages excrement information, and includes a toilet in which a bowl portion for receiving excrement is formed, and a toilet in the interior of the toilet. A light-emitting unit that emits light toward a target, a light-receiving unit that includes an image sensor that receives light, a cloud server and an edge server that analyze received light data received by the light-receiving unit, and a first that transmits the light-receiving data to the cloud server A communication device and a second communication device that transmits light reception data to an edge server, the cloud server analyzes the light reception data to determine the characteristics of the excrement, and the edge server analyzes the light reception data By doing so, it is characterized in that it is determined whether or not the first communication device can transmit the received light data to the cloud server.

According to the excrement management system according to one aspect of the embodiment, the edge server analyzes the received light data before the received light data received by the light receiving unit is transmitted to the cloud server by the first communication device. It can be determined whether data should be sent to the cloud server by the first communication device. As a result, it is possible to prevent all the received light data received by the light receiving unit from being transmitted to the cloud server, so it is possible to suppress the amount of data communication to the cloud server.

In the excrement management system according to one aspect of the embodiment, the first communication device uses the wide area information communication network to transmit the received light data to the cloud server, and the second communication device uses the local information communication network. light reception data to the edge server.

According to the excrement management system according to one aspect of the embodiment, communication to the cloud server uses a wide area information communication network. Therefore, it is possible to secure the degree of freedom in the installation position of the cloud server, which requires space due to its abundance of computational resources and storage. Further, according to the excrement management system according to one aspect of the embodiment, communication to the edge server uses the local information communication network. Therefore, the data received by the light-receiving unit can be transmitted to the edge server via the local information communication network, which does not incur communication charges for data communication. As a result, it is possible to reduce communication usage charges for data communication for transmitting received light data to the edge server.

In the excrement management system according to one aspect of the embodiment, the first communication device is configured to transmit and receive data between the cloud server and the edge server. The data volume to be transmitted is smaller than the data volume of received light data transmitted from the edge server to the cloud server via the first communication device.

The data transmitted to the cloud server is light reception data with a large data volume, which includes sufficient information necessary for the cloud server to analyze the characteristics of the excrement, whereas the data transmitted from the cloud server is Since only the analysis results relating to the features of the excrement are required, there is no need for light reception data with a large data volume.
In contrast, according to the excrement management system according to one aspect of the embodiment, the first communication device is configured to transmit and receive data between the cloud server and the edge server, and , the amount of data transmitted from the cloud server to the edge server is smaller than the amount of data transmitted from the edge server to the cloud server. This makes it possible to reduce the amount of data communication in the transmission and reception of data between the cloud server and the edge server.

In the excrement management system according to one aspect of the embodiment, the cloud server determines at least one of three feature amounts consisting of the color, shape, and amount of excrement by analyzing the received light data. , the edge server analyzes the received light data to determine whether excrement is included in the received light data.

According to the excrement management system according to one aspect of the embodiment, the cloud server determines at least one of the three feature amounts consisting of the color, shape, and amount of excrement, and the edge server determines: It is determined whether or not excrement is included in the received light data. As a result, the analysis of the received light data by the edge server can be made simpler than the analysis of the received light data by the cloud server, and the edge server with smaller computational resources than the cloud server can be efficiently used. . Therefore, it is possible to suppress the communication delay due to interposing the judgment in the edge server before transmitting the received light data to the cloud server.

The excrement management system according to one aspect of the embodiment further includes a user identification device that acquires information about the user who uses the toilet, and the first communication device does not transmit the user information to the cloud server.

Since the excrement management system according to one aspect of the embodiment includes the user identification device that acquires the user information, the features of the excrement determined by the cloud server and the information of the user who excreted the excrement are collected. It is possible to associate with In addition, since the first communication device does not transmit user information to the cloud server, the user information is excluded from the received light data transmitted from the edge server, so the communication capacity from the edge server to the cloud server can be reduced. can. In addition, since the data transmitted from the edge server to the cloud server does not include information that can identify an individual, it is possible to prevent leakage of personal information between communication paths.

In this embodiment, "user information" is information that can identify an individual (for example, name, address, etc.), and does not include information (ID, etc.) anonymized to the extent that an individual cannot be identified by an edge server, etc. .

In the excrement management system according to one aspect of the embodiment, information about a user who uses a toilet bowl is recorded in advance in the cloud server, and the received light data determined to be transmittable by the edge server is transmitted to the cloud server. It is characterized by being associated with the user information recorded in advance.

According to the excrement management system according to one aspect of the embodiment, by linking the user information and the received light data in the cloud server, the received light data and the feature information of the excrement analyzed by the cloud server can be sent to the user. Since the data can be transmitted to other information terminals, medical institutions, etc., the usability of the received light data and the feature information of the excrement can be improved.

An excretion information management method according to one aspect of the embodiment is a method for managing excretion information collected in a toilet room provided with a toilet on a cloud server, wherein A detection step of receiving reflected light from the excrement with respect to the light irradiated toward the inside by the light receiving unit, and transmission of the light reception data to the cloud server by the communication device based on the light reception data detected by the detection step. and an analysis step of determining whether or not the

According to the excretion information management method according to one aspect of the embodiment, when light reflected from the excrement with respect to the light emitted toward the inside of the toilet bowl by the light emitting unit is received, by analyzing the received light data, It is determined whether or not the communication device can transmit the received light data to the cloud server. This makes it possible to prevent the transmission of the received light data to the cloud server by the communication device when the received light data is not worthy of being managed on the cloud server. Thereby, according to the excretion information management method according to one aspect of the embodiment, it is possible to suppress the amount of data communication to the cloud server.

A program according to one aspect of an embodiment is a program executed by an edge server capable of communicating with a toilet device and a cloud server, and is a program that reflects light emitted from a light emitting unit toward the interior of a toilet bowl and reflected from excrement. A reception procedure for receiving received light data detected by receiving light with a light receiving unit, and a device controlling a communication device that transmits received light data to a cloud server based on an analysis result of this received light data. and a transmission procedure for transmitting the determination result as to whether or not it is possible to perform the edge server.

According to a program according to an aspect of the embodiment, received light data is analyzed by a receiving procedure, and a determination as to whether or not to transmit received light data is sent to a device that controls a communication device that transmits received light data to a cloud server. By transmitting the result, it is possible to reduce the amount of data communication to the cloud server.

An edge server according to an aspect of the embodiment is an edge server capable of communicating with a cloud server and a toilet device, and is configured to communicate with a first communication device configured to communicate with the cloud server and a toilet device. a memory for storing detection data relating to optically detected excrement transmitted from the toilet device via the second communication device; and analyzing the detection data stored in the memory. and an arithmetic processing device, wherein the arithmetic processing device determines, based on the detection data, whether or not the transmission of the detection data to the cloud server by the first communication device is permitted.

According to the edge server according to one aspect of the embodiment, the detection data regarding excrement transmitted from the toilet device is analyzed, and it is determined whether or not the transmission of the detection data to the cloud server by the first communication device is possible. As a result, it is possible to prevent all the detection data transmitted from the toilet device from being transmitted to the cloud server, so that it is possible to suppress the amount of data communication to the cloud server.

A toilet seat device according to one aspect of an embodiment is a toilet seat device installed on the upper part of a toilet bowl, and includes a light emitting unit that emits light toward the inside of the toilet bowl and an image sensor that receives light. a unit, a memory for storing received light data received by the light receiving unit, a communication device for transmitting the received light data to a cloud server, and a processing unit for analyzing the received light data stored in the memory, wherein the processing unit is , based on the received light data, it is determined whether or not to transmit the received light data to the cloud server.

According to the toilet seat device according to one aspect of the embodiment, the received light data received by the light receiving unit provided in the toilet seat device is analyzed, and it is determined whether or not the communication device can transmit the received light data to the cloud server. As a result, it is possible to prevent all the received light data received by the light receiving unit from being transmitted to the cloud server, so it is possible to suppress the amount of data communication to the cloud server.

According to one aspect of the embodiment, it is possible to reduce the amount of data communication to the cloud server that analyzes the image data of the excrement.

1 is a perspective view showing an example of the configuration of an excrement management system according to one embodiment of the present invention; FIG. 1 is an external perspective view of a detection device according to an embodiment of the present invention; FIG. 1 is a block diagram showing the functional configuration of an excrement management system according to one embodiment of the present invention; FIG. It is a block diagram showing an example of functional composition of an excrement management system concerning one embodiment of the present invention. FIG. 5 is a conceptual diagram corresponding to the functional configuration block diagram of FIG. 4 ; It is a block diagram showing an example of functional composition of an excrement management system concerning one embodiment of the present invention. FIG. 7 is a conceptual diagram corresponding to the functional configuration block diagram of FIG. 6 ; It is a block diagram showing an example of functional composition of an excrement management system concerning one embodiment of the present invention. FIG. 9 is a conceptual diagram corresponding to the functional configuration block diagram of FIG. 8 ; 4 is a block diagram showing an example of data in processing of the excrement management system according to one embodiment of the present invention; FIG. It is a figure which shows an example of the data analysis of the shape and amount of excrement. It is a figure which shows an example of the data analysis of the color of an excrement. It is a figure which shows an example of the relationship between an excrement and blood. FIG. 4 is a diagram showing an example of excrement color data analysis. FIG. 4 is a diagram showing an example of excrement color data analysis.

Hereinafter, embodiments of the excrement management system disclosed in the present application will be described in detail with reference to the accompanying drawings. In addition, this invention is not limited by embodiment shown below. In the following, the configuration and information processing for collecting and managing information on excrement excreted by toilet room users will be described.

<1. Appearance configuration of the toilet room>
First, the external configuration of the toilet room according to the embodiment of the present invention will be described with reference to FIG. FIG. 1 is a schematic perspective view showing an example of the exterior configuration of the toilet room according to the embodiment.

As shown in FIG. 1 , the excrement management system 1 includes a toilet device 2 and an operating device 10 . As shown in FIG. 1, in the toilet room R, a Western-style toilet bowl (hereinafter referred to as "toilet bowl") 7 is installed on the floor surface F. As shown in FIG. In addition, below, the direction which faces the space of the toilet room R from the floor surface F is described as the top. A toilet seat device 3 is provided on the upper portion of the toilet bowl 7 .

The toilet bowl 7 is made of ceramics, for example. A bowl portion 8 is formed in the toilet bowl 7 . The bowl portion 8 has a downwardly recessed shape and is a portion that receives the excrement of the user. The toilet bowl 7 is not limited to the floor-standing type as shown in the drawing, and may be of a wall-mounted type or the like. The toilet bowl 7 is provided with a rim portion 9 over the entire circumference of the end of the opening facing the bowl portion 8 . Further, the toilet bowl 7 may be provided with a flush water tank for storing flush water, or may be of a so-called tankless type in which no flush water tank is installed.

For example, when a user operates a cleaning operation unit (not shown) for cleaning provided in the toilet room R, the toilet bowl is cleaned by supplying cleaning water to the bowl portion 8 of the toilet bowl 7 . The cleaning operation part may be a pressing operation on an operation lever or a toilet cleaning button provided on the operation device 10 . Note that the cleaning operation unit is not limited to a device such as an operation lever that allows the user to manually clean the toilet bowl, but may also include a sensor that detects the user such as a seating sensor that detects the human body to perform the toilet bowl cleaning. .

The toilet seat device 3 is attached to the upper portion of the toilet bowl 7 and includes a toilet lid 4 , a toilet seat 5 and a functional portion 6 . The toilet seat device 3 may be detachably attached to the toilet bowl 7 or may be attached so as to be integrated with the toilet bowl 7 .

As shown in FIG. 1 , the toilet seat 5 is formed in an annular shape with an opening in the center, and is arranged along the rim portion 9 at a position overlapping the opening of the toilet bowl 7 . The toilet seat 5 functions as a seat that supports the buttocks of a seated user. Further, as shown in FIG. 1, one end of each of the toilet lid 4 and the toilet seat 5 is pivotally supported by the functional part 6, and attached so as to be rotatable (openable and closable) about the pivotal support of the functional part 6. . The toilet lid 4 is attached to the toilet seat device 3 as necessary, and the toilet seat device 3 does not have to include the toilet lid 4 .

The operating device 10 is provided in the toilet room R. The operating device 10 is provided at an operable position when the user is seated on the toilet seat 5 . In the example shown in FIG. 1 , the operating device 10 is arranged on the wall surface W on the right side as seen from the user sitting on the toilet seat 5 . Note that the operating device 10 may be arranged in various ways other than on the wall surface as long as the user sitting on the toilet seat 5 can use the operating device 10 . For example, the operating device 10 may be provided integrally with the toilet seat device 3 .

The operation device 10 is communicably connected to the toilet seat device 3 via a predetermined network by wire or wirelessly. For example, the toilet seat device 3 and the operation device 10 may be connected in any way as long as information can be transmitted and received. may

Moreover, the excrement management system 1 may identify the user by the user's operation on the operation device 10 . The operating device 10 may function as a user identification device 38 (see FIG. 3) that identifies the user. For example, the operating device 10 identifies the user by personal authentication. The operation device 10 may identify the user based on biometric information such as the user's fingerprint and veins. In this case, the excrement management system 1 may include the operating device 10 functioning as the user identification device 38 . Note that the operation device 10 may not be provided in the toilet room R as long as a configuration (toilet bowl 7, toilet seat device 3, etc.) for the user to excrete excrement is arranged.

<2. Functional configuration of detection device>
Next, the functional configuration of the detection device will be described with reference to FIG. FIG. 2 is an external perspective view of the detection device according to the embodiment.

The detection device 12 includes a light emitting section 14 that emits light in response to an electrical signal controlled by a control device 20 (see FIG. 3), and receives reflected light from the excrement of the user with respect to the light emitted by the light emitting section 14. A light receiving section 16 and a housing 18 for supporting the light emitting section 14 and the light receiving section 16 are provided. With these configurations, the detection device 12 realizes the function of detecting excrement excreted into the toilet bowl. The detection device 12 detects, for example, data containing three feature amounts, namely, the color, shape, and amount of feces excreted by the user. Processing for data detected by the detection device 12 will be described later.

The light emitting unit 14 includes, for example, a light emitting element (not shown) such as an LED (Light Emitting Diode). In addition, the light-emitting element provided in the light-emitting unit 14 is not limited to an LED, and various elements may be used. In addition, the light emitted from the light emitting unit 14 is not limited to white light having uniform wavelengths of visible light, and may be colored light having only specific wavelengths or invisible light such as infrared rays.

The light receiving section 16 includes a lens 17 and a light receiving element (not shown). The light receiving element is formed by, for example, a line sensor or an area sensor in which CCD (Charge Coupled Device) sensors or CMOS (Complementary Metal Oxide Semiconductor) sensors are arranged. Further, the light receiving section may be configured to have a spectral function such as a spectral filter.

Note that the detection device 12 may be disposed inside the functional portion 6 and the toilet seat 5 provided in the toilet seat device 3 and formed integrally with the toilet seat device 3 . It may be formed so as to be hooked between and arranged separately from the toilet seat device 3 .

<3. Configuration of excrement management system>
Here, the configuration of the excrement management system 1 will be described with reference to FIGS. 3 to 9. FIG. First, the functional configuration of the excrement management system 1 will be described with reference to FIG. FIG. 3 is a block diagram showing the functional configuration of the excrement management system according to the embodiment.

As shown in FIG. 3, the excrement management system 1 includes a toilet device 2, a detection device 12, a cloud server 30, a first communication device 32, an edge server 34, a second communication device 36, and a user identification device 38 . Although FIG. 3 shows a configuration in which devices are divided for each function of the excrement management system 1, the excrement management system 1 may be configured by devices that realize a plurality of functions. Details on this point will be described later.

The toilet device 2 includes the toilet bowl 7 and the toilet seat device 3 shown in FIG. 1, and is used as a device for a user to excrete feces.
Also, the toilet seat device 3 provided in the toilet device 2 functions as a control device 20 for controlling the detection device 12 . It should be noted that the control device 20 also functions as the edge server 34 when the functions of the edge server 34 , which will be described later, are executed by the toilet device 2 .

The control device 20 stores the data detected by the detection device 12 and an arithmetic processing device 24 for controlling the detection device 12 and performing arithmetic processing on the data detected by the detection device 12 . and a memory 22 for storing control programs to be executed by the arithmetic processing unit 24 .

The arithmetic processing unit 24 is, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a processor such as an ASIC (Application Specific Integrated Circuit), and various means such as an integrated circuit such as an FPGA (Field Programmable Gate Array). It is realized by

The memory 22 has various configurations such as a ROM (Read Only Memory) and a RAM (Random Access Memory).

The detection device 12 includes the light-emitting portion 14 and the light-receiving portion 16 shown in FIG. 2, and is used as a device for optically detecting feces excreted by the user.

The cloud server 30 implements a function of determining features of excrement based on light reception data detected by the detection device 12 . In addition, the cloud server 30 accumulates detection data detected by the detection device 12 and information on determination results determined by the cloud server 30, and realizes a function of providing information in response to requests from the outside. I don't mind.

The cloud server 30 is a server provided in a cloud environment, and is a virtual server with scalable computing performance and storage (storage device) capacity. When the cloud server 30 is connected to a user's mobile terminal (smartphone or personal computer), the excrement management system 1 performs arithmetic processing from the accumulated data as a method of providing information to the user. It can take the form of a WEB service (for example, ASP (Application Service Provider)) that transmits the result to a mobile terminal via a wide area information communication network. In this case, the cloud server 30 performs data accumulation, arithmetic processing, response processing for requests for information, and the like.

The first communication device 32 implements a function of transmitting data detected by the detection device 12 to the cloud server 30 . The first communication device 32 is configured by a wide area information communication network, a so-called WAN (Wide Area Network), and transmits and receives data between the cloud server 30 and the edge server 34 . The wide area information communication network may be, for example, a wide area wired communication line such as the Internet or a dedicated line, or a wide area wireless communication line such as 3G (third generation mobile communication system), 4G, 5G, LTE, etc. It's okay.

The edge server 34 implements a function of determining whether or not to transmit the detection data to the cloud server 30 via the first communication device 32 . The edge server 34 is a server that communicates with the cloud server 30 via the wide area information communication network and with the control device 20 provided in the toilet device 2 via the local information communication network. Processing for determining whether or not to transmit the detection data to the cloud server 30, which is realized by the edge server 34, will be described later.

The second communication device 36 implements the function of transmitting data sensed by the sensing device 12 to the edge server 34 . The second communication device 36 is configured by a private information communication network, so-called LAN (Local Area Network), short-range wireless communication, serial communication, etc. Send and receive data between terminals.

The local information communication network may be, for example, a field bus such as Profibus, Modbus or TC-net, a local wired communication line such as Ethernet (registered trademark), or a wireless LAN (Wi-Fi) (registered trademark) or a local wireless communication line such as a 920 MHz band.

The short-range wireless communication may be, for example, classic Bluetooth, BLE (Bluetooth Low Energy), or ZigBee, which enables communication with low power consumption.
Serial communication may be, for example, UART communication, or a communication method such as I2C communication or SPI communication.

The user identification device 38 realizes the function of identifying the user who uses the toilet bowl 7 . The user identification device 38 may identify the user using biometric information such as the user's fingerprint and veins acquired by various sensors provided in the operation device 10 . In addition, the user identification device 38 may identify the user by using information (user ID, etc.) for identifying the user acquired from the communication device through communication between the user's portable terminal and various communication devices. good.

Since the user information acquired by the user identification device 38 is information that can identify an individual, it is preferable to implement security measures. Therefore, it is preferable that the edge server 34 or the like converts the user information into information (such as an ID) that has been anonymized to such an extent that the individual cannot be identified. This prevents the first communication device 32 from transmitting personally identifiable information to the cloud server 30 . Therefore, since the user information is excluded from the received light data transmitted from the edge server, the communication capacity from the edge server 34 to the cloud server 30 can be reduced. In addition, since the data transmitted from the edge server 34 to the cloud server 30 does not include information to the extent that an individual can be identified, it is possible to prevent leakage of personal information between communication paths.

On the other hand, by linking the user information and the received light data in the cloud server 30, the usability of the received light data and the processing results stored in the cloud server 30 can be improved. In this case, by pre-recording in the cloud server 30 user information that can identify an individual associated with the anonymized user information transmitted from the edge server 34 to the cloud server 30, for example, The received light data can be associated with the user information recorded in the cloud server 30 and capable of identifying an individual.

In this aspect, the received light data and the processing results stored in the cloud server 30 may be transmitted to the user after being collated with the user information that can identify the individual by the edge server 34, and After the cloud server 30 associates the stored received light data and processing results with user information that can identify an individual, the information may be transmitted to the user. Further, after linking the received light data and processing results stored in the cloud server 30 with the user information that can identify the individual, it may be transmitted to a medical institution and used for diagnosis by a doctor. , and the usability of the processing results stored in the cloud server 30 can be improved.

<3-1. Configuration example of excrement management system>
Next, an example configuration of the excrement management system 1 will be described with reference to FIGS. 4 to 9. FIG. 4, 6, and 8 are block diagrams showing an example of the functional configuration of the excrement management system according to the embodiment. FIG. 5 is a conceptual diagram corresponding to the functional configuration block diagram of FIG. FIG. 7 is a conceptual diagram for the functional configuration of FIG. FIG. 9 is a conceptual diagram for the functional configuration of FIG.

In the excrement management system 1 shown in FIGS. 4 and 5, the urinal device 2 and the detection device 12 are configured as separate bodies. The detection device 12 is arranged in the toilet room R by being hooked between the rim portion 9 of the toilet bowl 7 and the toilet seat 5, for example.
In the excrement management system 1 shown in FIGS. 4 and 5, the user identification device 38 is arranged in the toilet room R and configured to communicate with the toilet device 2 . Identification of the user by the user identification device 38 is realized by, for example, input by the user to the operation device 10 arranged in the toilet room R, various sensors provided in the toilet room R, and the like.
In the excrement management system 1 of FIGS. 4 and 5, the edge server 34 and the cloud server 30 are arranged outside the toilet room R. As shown in FIG.
In the excrement management system 1 shown in FIGS. 4 and 5, the toilet device 2 is configured to be able to communicate with the edge server 34 via the second communication device 36, and the edge server 34 communicates with the first communication device 32. It is configured to be able to communicate with the cloud server 30 via.

In the excrement management system 1 shown in FIGS. 4 and 5, the user information identified by the user identification device 38 and the data detected by the detection device 12 are processed by the control device 20 provided in the toilet device 2. and transmitted to the edge server 34 via the second communication device 36 . Then, based on the analysis of the detection data by the edge server 34, it is determined whether or not the transmission of the detection data to the cloud server 30 by the first communication device 32 is possible. As a result, it is possible to prevent all the data detected by the detection device 12 from being transmitted to the cloud server 30, so that the amount of data communication to the cloud server 30 can be suppressed.

Moreover, in the excrement management system 1 shown in FIGS. 4 and 5 , a plurality of toilet devices 2 can be connected to one edge server 34 . As a result, the number of edge servers 34 required in the excrement management system 1 can be reduced, and the cost required to construct the excrement management system 1 can be reduced.

Furthermore, in the excrement management system 1 shown in FIGS. 4 and 5, the user information transmitted to the edge server 34 is anonymized by the edge server 34 to such an extent that the individual cannot be identified, and then the first communication device 32 is used. It is transmitted to the cloud server 30 together with the detection data via. As a result, the user information is excluded from the received light data transmitted from the edge server, so the communication capacity from the edge server 34 to the cloud server 30 can be reduced. Also, leakage of personal information between communication paths can be prevented.

Then, the determination result regarding the feature amount of the excrement analyzed by the cloud server 30 is transmitted to the edge server 34 via the first communication device 32, and the edge server 34 associates the user information with the user information. It is displayed on a display device (not shown) provided in the toilet room R where the user identification device 38 is arranged. As a result, the user of the toilet room R can confirm whether or not the determination result displayed on the display device belongs to him/herself. It should be noted that the destination of the determination result by the edge server 34 is not limited to the inside of the toilet room R, and may be sent to the user's portable terminal or the like stored in advance in the edge server 34 .

In the excrement management system 1 shown in FIGS. 6 and 7 , the functions provided by the detection device 12 and the edge server 34 are implemented by the toilet device 2 . The detection device 12 is arranged, for example, inside the functional unit 6 or the toilet seat 5 provided in the toilet seat device 3 . Also, the function of the edge server 34 is implemented by the control device 20 provided in the toilet device 2 .
In the excrement management system 1 shown in FIGS. 6 and 7, the functions of the user identification device 38 are realized by the portable terminal 40 used by the caregiver or the like in the nursing care facility. The mobile terminal 40 is configured by, for example, a smart phone, a mobile phone, a tablet terminal, or the like. In addition, the mobile terminal 40 may be carried by a caregiver or the like, or may be arranged outside the toilet room R. Identification of the user by the mobile terminal 40 is realized by a user ID or the like that identifies the user.
In the excrement management system 1 shown in FIGS. 6 and 7, the cloud server 30 is arranged outside the toilet room R. As shown in FIG.
In the excrement management system 1 shown in FIGS. 6 and 7 , the toilet device 2 is configured to be able to communicate with the cloud server 30 via the first communication device 32 . The sensing device 12 and the mobile terminal 40 are configured to communicate with the edge server 34 via the second communication device 36 .

In the excrement management system 1 shown in FIGS. 6 and 7, data detected by the detection device 12 is transmitted to the control device 20 by the second communication device 36 configured by serial communication or the like. Also, the user information identified by the mobile terminal 40 is transmitted to the control device 20 by the second communication device 36 configured by near field communication or the like. Based on the analysis of the detection data by the control device 20, it is determined whether or not the transmission of the detection data to the cloud server 30 by the first communication device 32 is possible. As a result, it is possible to prevent all the data detected by the detection device 12 from being transmitted to the cloud server 30, so that the amount of data communication to the cloud server 30 can be suppressed.

In addition, in the excrement management system 1 shown in FIGS. 6 and 7, the determination result regarding the feature amount of excrement analyzed by the cloud server 30 is sent to the user via the first communication device 32 or the second communication device 36. It can be made accessible from the mobile terminal 40 . Thereby, the determination result regarding the feature amount of the excrement can be confirmed from the portable terminal 40 of the user. Further, since the user information is stored in the user's portable terminal 40, the cloud server 30 does not need to manage the user information.

In the excrement management system 1 shown in FIGS. 8 and 9, the function provided by the detection device 12 is implemented by the toilet device 2. As shown in FIG.
In the excrement management system 1 shown in FIGS. 8 and 9, the functions provided by the edge server 34 and the user identification device 38 are implemented by the mobile terminal 40 . The functions of the edge server 34 are implemented by the control device 20 provided in the mobile terminal 40 . Here, a program for the mobile terminal 40 to implement the functions of the edge server 34 is downloaded from the cloud server 30 in the form of application software, for example.
The cloud server is arranged outside the toilet room R in the excrement management system 1 shown in FIGS.
In the excrement management system 1 shown in FIGS. 8 and 9, the user's mobile terminal 40 is configured to be able to communicate with the toilet device 2 via the second communication device. Also, the mobile terminal 40 of the user is configured to be able to communicate with the cloud server 30 via the first communication device.

In the excrement management system 1 shown in FIGS. 8 and 9, the data detected by the detection device 12 is transmitted to the user's mobile terminal 40 via the second communication device 36 configured by short-range wireless communication or the like. , together with the user information stored in the mobile terminal 40 , are processed by the control device 20 provided in the mobile terminal 40 . Then, by analyzing the detection data by the mobile terminal 40, it is determined whether or not the transmission of the detection data to the cloud server 30 by the first communication device 32 is possible. As a result, it is possible to prevent all the data detected by the detection device 12 from being transmitted to the cloud server 30, so that the amount of data communication to the cloud server 30 can be suppressed.

In addition, in the excrement management system 1 shown in FIGS. 8 and 9, before the data detected by the detection device 12 is transmitted to the portable terminal 40, the amount of data is reduced by the control device 20 provided in the toilet device 2. can be processed as This makes it possible to increase the speed of data transfer to the mobile terminal via the second communication device 36 . Furthermore, in the excrement management system 1 shown in FIG. 6 , the control device 20 provided in the mobile terminal 40 can perform a simpler analysis than the analysis on the feature amount of excrement performed by the cloud server 30 . For example, by analyzing only the presence or absence of excrement, the owner of the mobile terminal 40 can grasp his own excretion cycle without transmitting detection data to the cloud server 30 via the first communication device 32. It becomes possible.

Furthermore, in the excrement management system 1 shown in FIGS. 8 and 9, the determination results regarding the feature amount of excrement analyzed by the cloud server 30 can be accessed from the user's mobile terminal 40 via the first communication device 32. can be Thereby, the determination result regarding the feature amount of the excrement can be confirmed from the portable terminal 40 of the user. Further, since the user information is stored in the user's portable terminal 40, the cloud server 30 does not need to manage the user information.

<4. Treatment of Excrement Management System>
Next, the processing of collected excrement information in the excrement management system 1 will be described.

<4-1. Data>
First, data detected by the detection device 12 will be described with reference to FIG. FIG. 10 is a diagram illustrating an example of processing for data detected by a detection device. In the following description, only the configuration and processing required for data flow will be described, and the description of the light emission of the light emitting unit will be omitted.

First, the light-receiving element of the light-receiving unit 16 performs detection. The light receiving unit detects analog data AD1 of N pixels (N is an arbitrary number). The analog data AD1 detected by the light receiving unit 16 is transmitted to the control device 20 included in the toilet device 2 and the detection device 12 (step S11).

The control device 20 includes an ADConverter, which converts the analog data AD1 of analog values into digital data of digital values. The control device 20 determines the pixels to be AD-converted by the ADConverter, and determines the pixels to be converted by the ADConverter out of the N-pixel analog data AD1. The controller 20 determines a value 'n' equal to or smaller than N, and determines the number of pixels 'n' to be converted by the ADConverter. For example, the control device 20 can reduce the amount of data to be transmitted to the cloud server 30 later by setting a value equal to or smaller than N to "n".

The control device 20 temporarily stores the AD-converted digital data DD1 in the memory 22 of the control device 20 (step S12). Digital data of n pixels is stored in the storage area FM1 of the memory 22 provided in the control device 20 according to the control by the control device 20 .

Then, when the amount of digital data stored in the storage area FM1 reaches or exceeds a predetermined amount consisting of n pixels×m rows, n Digital data of pixels×m lines is transmitted to the edge server 34 (step S13). Here, when the function of the edge server 34 is executed by the toilet device 2 , the digital data of n pixels×m lines is subjected to excretion determination, which will be described later, by the arithmetic processing device 24 of the control device 20 .

The edge server 34 performs excretion determination to determine whether or not the digital data of n pixels×m lines transmitted from the control device 20 contains excrement. For example, the edge server 34 performs threshold determination on n−l predetermined pixels×m rows of the n-pixel digital data. Note that the edge server 34 may perform threshold determination on the digital data of n pixels×m rows.

The edge server 34 determines whether or not to transmit the digital data transmitted from the control device 20 to the cloud server 30 via the first communication device 32 according to the threshold determination result. In other words, the edge server 34 determines whether data can be transmitted to the cloud server 30 by the device executing the function of the first communication device 32 .

As a result of the excretion determination by the edge server 34, when the number of pixels in which the output value of the light receiving element has changed by a predetermined value or more from the initial data is less than the threshold value, as shown in the storage area FM2, the Delete the digital data (step S14). That is, when the edge server 34 determines that the light receiving data received by the light receiving element is not the light receiving data reflected from excrement, the edge server 34 stores the digital data (for example, n pixels×m row digital data). Alternatively, if there is no change in the data continuously received by the light receiving element, such as image data, the image data may be deleted.

In this way, when the edge server 34 determines that the data transmitted via the second communication device 36 is not the received light data reflected from the excrement, the edge server 34 transmits the digital data via the first communication device 32. Do not send to cloud server 30 . In other words, the device controlling the first communication device 32 is not permitted to transmit data to the cloud server 30 .

In addition, as a result of excretion determination by the edge server 34, when the number of pixels in which the output value of the light receiving element has changed by a predetermined value or more from the initial data is equal to or greater than the threshold value, the data transmitted from the control device 20 is stored in the storage area FM3. is transmitted to the cloud server 30 via the first communication device 32 (S15). That is, when the light receiving data received by the light receiving element is determined to be the light receiving data reflected from the excrement, the edge server 34 stores the digital data (for example, n pixels×m row digital data) to the cloud server 30 via the first communication device 32 . For example, the data transmitted via the first communication device 32 and stored in the storage area FM3 provided in the cloud server 30 is the output value of the light receiving element with respect to the initial data as a result of excretion determination by the edge server 34. The amount of data to be transmitted to the cloud server 30 can be reduced by using data composed of only the number of pixels that have changed (for example, n−1 pixels×m columns).

Thus, when the edge server 34 determines that the data transmitted via the second communication device 36 is light reception data reflected from excrement, the digital data is transmitted via the first communication device 32. Send to cloud server 30 . In other words, the device controlling the first communication device 32 is permitted to transmit data to the cloud server 30 .

The cloud server 30 determines the feature amount of the excrement for the digital data transmitted via the first communication device 32 . Then, the result is stored in the storage area FM3 provided in the cloud server 30 (S16). Note that the determination result by the cloud server 30 may be transmitted to the edge server 34 via the first communication device 32 without being stored in the cloud server 30 .

For example, the cloud server 30 makes determinations with respect to three feature amounts consisting of the color, shape, and amount of excrement. The cloud server 30 uses 3 bits in the storage area FM3 so that up to 8 types (yellow, brown, black, abnormal (including red blood), etc.) can be determined for the color of the excrement. Store. The cloud server uses 3 bits of the storage area FM3 to store the determination results for the shape of the excrement so that seven types of the Bristol scale can be determined. The cloud server 30 uses 2 bits of the storage area FM3 to store the determination result of the amount of excrement so that it can determine at least three types of excrement amount: high, normal, and low. As a result, the cloud server 30 can use 1 byte of the storage area FM3 to store the determination results for the three feature values of the color, shape and amount of excrement. Processing for determining the feature amount of excrement by the cloud server 30 will be described later.

<4-2. Data Analysis>
Data analysis for determining the feature amount of excrement will now be described with reference to FIGS. 11 and 12. FIG. Below, the processing when the cloud server 30 of the excrement management system 1 performs data analysis on the color, shape, and amount of excrement will be described.

<4-2-1. Shape and amount of excrement>
First, data analysis regarding the shape and amount of excrement will be described with reference to FIG. FIG. 11 is a diagram showing an example of data analysis regarding the shape and amount of excrement.

The object OB1 in FIG. 11 schematically shows excrement (stool) to be detected, and an outline of how the shape and amount of excrement is analyzed will be described using the object OB1 as an example. . In the following description, the longitudinal direction of the object OB1 is defined as the vertical direction, and the direction perpendicular to the longitudinal direction (transverse direction) is defined as the horizontal direction. Such an object OB1 falls in a vertical direction.

Each measurement result RS1 to RS3 is a graph showing the relationship between each pixel and its reflectance. Each measurement result RS1 to RS3 indicates the measurement result corresponding to each vertical position of the object OB1. A measurement result RS1 indicates a measurement result corresponding to the upper end of the object OB1. A measurement result RS2 indicates a measurement result corresponding to the central portion of the object OB1 in the vertical direction. A measurement result RS3 indicates a measurement result corresponding to the lower end of the object OB1.

The cloud server 30 detects the reflectance of each pixel received by the light receiving element. The cloud server 30 obtains a peak value from the reflected pixels. In each of the measurement results RS1 to RS3, the central portion is the peak value. For example, the cloud server 30 specifies that the pixel X0 is an image having a peak value in the measurement result RS2.

The cloud server 30 compares the difference in reflectance between the pixel having the peak value and the adjacent pixels, and when a reflectance equal to or greater than a predetermined value or equal to or less than a predetermined value is confirmed, the cloud server 30 estimates that the light is reflected light from excrement. . Note that the cloud server 30 similarly processes the color of the excrement.

When the cloud server 30 confirms that the light is reflected light from excrement, the cloud server 30 performs similar processing on pixels adjacent to the pixel. Accordingly, the cloud server 30 determines the edge of the excrement and estimates the width of the excrement. For example, the cloud server 30 estimates that the range from the pixel X1 to the image X2 is excrement in the measurement result RS2. For example, in the measurement result RS1, the cloud server 30 estimates that the width L, which is narrower than the range from the pixel X1 to the image X2 in the measurement result RS2, is the width of the excrement.

The cloud server 30 stacks the measurement results RS1 to RS3 and the like to analyze the shape of the excrement. In the example of FIG. 11, the cloud server 30 has the widest part (central part) corresponding to the measurement result RS2, the part (upper end) corresponding to the measurement result RS1, and the part (lower end) corresponding to the measurement result RS3. Part) is analyzed to be a shape in which the width becomes narrower. The cloud server 30 determines which shape of the excrement analyzed from the measurement results is closest to one of the seven types of excrement (feces) classified by the Bristol scale, and determines whether the excrement is excreted by the user. determine the shape of excrement produced.

The cloud server 30 analyzes the amount of excrement by accumulating the number of pixels estimated to be reflected light from excrement. In addition, when there are multiple excretions (feces) excreted by the user, the amount of excretion excreted in one excretion act by the user can be calculated by adding up the amounts of the plurality of excretions. To analyze.

Through the processing described above, the object OB1 falling from the user toward the bowl portion 8 of the toilet 7 is detected. For example, the object OB1, which is falling excrement, is detected in order from the bottom to the top by passing through the front facing the light emitting unit 14 and the light receiving unit 16 in the order of the lower end, the center, and the upper end. Specifically, the object OB1, which is the falling excrement, is detected in order of the measurement result RS3, the measurement result RS2, and the measurement result RS1. The excrement analyzed by the cloud server 30 is not limited to the excrement being dropped, and detection may be performed on the excrement that has landed in the water in the bowl portion 8 after being dropped.

<4-2-2. Excrement color >
First, data analysis on the color of excrement will be described with reference to FIG. FIG. 12 is a diagram showing an example of data analysis of excrement color. FIG. 12 is a diagram showing an example of data analysis regarding detection of blood contained in excrement. Note that the same reference numerals are given to the same points as in FIG. 11, and the description thereof will be omitted as appropriate.

The object OB2 in FIG. 12 represents virtual excrement (stool), and differs from the object OB1 in FIG. 11 in that the object OB2 includes a blood region BD in the center. The measurement results RS1-RS3 shown in FIG. 12 correspond to the measurement results RS1-RS3 of the object OB1 in FIG. 11 without the blood region BD.

The cloud server 30 identifies a pixel having a peak value for light of a wavelength having a characteristic reflectance for blood among the light of a plurality of wavelengths irradiated to the object OB2, which is excrement. For example, the cloud server 30 identifies a pixel having a peak value for light of 670 nm, which has a characteristic reflectance for blood, among light of a plurality of wavelengths irradiated to the object OB2, which is excrement. do.

After that, the cloud server 30 calculates the reflectance for light of other wavelengths detected by the pixel having the peak value. The cloud server 30 estimates the color from the reflectance ratio for other wavelengths including 670 nm detected by the same pixel. A measurement result RS4 shown in FIG. 12 indicates a measurement result for a portion including the blood region BD like the object OB2. For example, the measurement result RS4 shown in FIG. 12 shows the measurement result when light in a region not including 670 nm is irradiated to a portion including the blood region BD of the object OB2.

The wavelength having characteristic reflectance for blood is not limited to 670 nm, and may be in the range of 600 nm to 800 nm. This is because, in this wavelength band, when blood is attached to stool, the reflectance for the blood color is detected more remarkably than for the color of the stool.

Here, the relationship between excrement and blood will be described with reference to FIG. FIG. 13 is a diagram showing an example of the relationship between excreta and blood. A graph GR1 shown in FIG. 13 is a diagram showing the relationship between the reflection of stool and the reflection of blood adhering to stool for each wavelength.

Line FL1 in graph GR1 of FIG. 13 indicates the reflectance of each wavelength (approximately 600 nm to approximately 870 nm) with respect to excrement (stool). As indicated by line FL1 in FIG. 13, in the case of excrement (stool), the reflectance increases as the wavelength increases. As shown by line FL1 in FIG. 13, in the case of excrement (stool), reflectance is lowest near 600 nm and highest near 870 nm. Line BD1 in graph GR1 of FIG. 10 indicates the reflectance of each wavelength (approximately 600 nm to approximately 870 nm) for blood adhering to stool (blood). As shown by the line BD1 in FIG. 13, in the case of blood (blood) adhering to stool, the reflectance near 670 nm has the smallest difference from the line FL1, and the further away from 670 nm, the more the reflectance differs from the line FL1. becomes larger.

Graph GR1 in FIG. 13 shows that the ratio of the reflectance of blood adhering to stool to the reflectance of stool is highest near 670 nm and decreases as the distance from 670 nm increases. Thus, the graph GR1 shown in FIG. 13 shows that the ratio of the reflectance of blood adhering to feces to the reflectance of feces is large at the wavelength of 670 nm, and the ratio of the reflectance of blood to the reflectance of feces is large at the wavelength of 870 nm. small ratio.

Therefore, the cloud server 30 can analyze the blood contained in the excrement based on the reflectance ratio of each wavelength as described above. Further, the cloud server 30 can analyze the color of the excrement based on the reflectance ratio of each wavelength as described above. This point will be described with reference to FIGS. 14 and 15. FIG. 14 and 15 are diagrams showing an example of data analysis of excrement color.

The measurement results RS11 to RS13 shown in FIG. 14 indicate the measurement results obtained when excretions (stool) of different colors are measured. For example, the color of excrement (stool) to be measured may become darker in the order of measurement results RS11, RS12, and RS13. For example, the measurement result RS11 is the measurement result of ocher excrement (stool), the measurement result RS12 is the measurement result of brown excrement (stool), and the measurement result RS13 is the measurement result of dark brown excrement (stool). It may be a measurement result.

Moreover, each of LED#1, LED#2, and LED#3 shown in each of the measurement results RS11 to RS13 in FIG. 14 is a light-emitting element that emits light. Each curve of shows the relationship between pixel and reflectance. Note that each of the LED#1, the LED#2, and the LED#3 may be a light-emitting element that emits light in any wavelength region.

For example, the darker the color of the stool, the lower the reflectance for each wavelength. In the example of FIG. 14, among the measurement results RS11 to RS13, the reflectance for each wavelength in the measurement result RS13, which has the darkest color of excrement (stool), is small, and the ratio of the respective reflectances is large.

On the other hand, for example, the lighter the color of stool, the greater the reflectance for each wavelength. In the example of FIG. 14, among the measurement results RS11 to RS13, the measurement result RS11, in which excrement (stool) is the lightest in color, has a large reflectance for each wavelength and a small ratio of the respective reflectances. For example, the closer to a light color, the more strongly the light of each wavelength is reflected, so the difference in the reflectance of each wavelength becomes smaller.

Therefore, the cloud server 30 can classify the color of the excrement (stool) by analyzing the relationship between the wavelength and the reflectance as described above. For example, the cloud server 30 classifies the measurement results RS11 to RS13 based on the reflectance ratio for each of LED#1, LED#2, and LED#3, like the classification result RS21 shown in FIG. classify the color of excrement (stool) in each measurement.

For example, the cloud server 30 uses the ratio of the reflectance of LED#1 to the reflectance of LED#2 and the ratio of the reflectance of LED#3 to the reflectance of LED#2 to obtain each of the measurement results RS11 to Classify the color of RS13 excrement (stool). For example, the cloud server 30 sets "reflectance of LED #1/reflectance of LED #2" on the X axis and "reflectance of LED #3/reflectance of LED #2" on the Y axis, and each measurement result The color of excrement (feces) in each measurement is classified according to the positions of RS11 to RS13. For example, if the X-axis direction is less than X1 and the Y-axis direction is less than Y1, the cloud server 30 classifies the color of excrement (stool) in the measurement as “ocher”. For example, the cloud server 30 classifies the color of the excrement (stool) in the measurement as "brown" when X1 or more and less than X2 in the X-axis direction and Y1 or more and less than Y2 in the Y-axis direction. For example, when the X-axis direction is X2 or more and the Y-axis direction is Y2 or more, the cloud server 30 classifies the color of excrement (stool) in the measurement as “dark brown”. Note that the above is just an example, and the cloud server 30 may use any method to classify the color of excrement (stool) in each measurement.

Reference Signs List 1 Excrement management system 2 Toilet bowl device 3 Toilet seat device 4 Toilet lid 5 Toilet seat 6 Function part 7 Toilet bowl 8 Bowl part 9 Rim portion 10 Operating device 12 Detecting device 14 Light emitting portion 16 Light receiving portion 17 Lens 18 Housing 20 Control device 22 Memory 24 Arithmetic processing device 26 Electronic circuit 30 Cloud server 32 First communication device 34 Edge server 36 Second communication device 38 User identification device 40 Portable terminal

Claims (11)

An excrement management system that collects and manages excrement information,
a toilet having a bowl portion for receiving excrement;
a light emitting unit that emits light toward the inside of the toilet bowl;
a light receiving unit having an image sensor that receives light;
a cloud server and an edge server for analyzing received light data received by the light receiving unit;
a first communication device that transmits the received light data to the cloud server;
a second communication device that transmits the received light data to the edge server;
The cloud server analyzes the received light data to determine characteristics of the excrement,
The edge server analyzes the received light data to determine whether excrement is included in the received light data. An excrement management system characterized by determining that the received light data is data to be transmitted to a server , and transmitting the received light data to the cloud server through the first communication device . The first communication device transmits the received light data to the cloud server using a wide area information communication network, and the second communication device transmits the received light data to the edge server using a local information communication network. The excreta management system according to claim 1, wherein the transmission is performed. the first communication device is configured to transmit and receive data between the cloud server and the edge server;
The data volume transmitted from the cloud server to the edge server via the first communication device is larger than the data volume of the received light data transmitted from the edge server to the cloud server via the first communication device. The waste management system of claim 2, which is less. 4. The cloud server according to any one of claims 1 to 3, wherein, by analyzing the received light data, at least one of three feature amounts consisting of color, shape and amount of excrement is determined . 10. A waste management system as described in paragraph 1. Furthermore, comprising a user identification device for acquiring information of a user who uses the toilet,
The excrement management system according to any one of claims 1 to 4, wherein the first communication device does not transmit the user information to the cloud server. The cloud server records in advance the information of the user who uses the toilet,
6. Excretion according to any one of claims 1 to 5, characterized in that the received light data determined to be transmittable by the edge server is associated with the user information pre-recorded in the cloud server. property management system. An excretion information management method for managing information on excretion collected in a toilet room provided with a toilet on a cloud server,
a detection step in which a light-receiving unit that receives light receives reflected light from excrement with respect to the light emitted toward the inside of the toilet bowl by the light-emitting unit;
The edge server analyzes the received light data detected by the detection step to determine whether or not excrement is included in the received light data. an analysis step of determining that the data is data to be transmitted to the cloud server , and transmitting the received light data to the cloud server by a communication device ;
A method for managing excretion information, comprising: A program executed by an edge server capable of communicating with a toilet device and a cloud server,
a reception procedure for receiving received light data detected by receiving reflected light from excrement with a light receiving unit with respect to the light emitted toward the inside of the toilet by the light emitting unit;
By analyzing the received light data , it is determined whether or not excrement is contained in the received light data, and when it is determined that excrement is contained, the received light data is data to be transmitted to the cloud server. a transmission step of transmitting a determination result of determining that the received light data is data to be transmitted to the cloud server, to a device that controls a communication device that transmits the received light data to the cloud server; ,
A program characterized by causing an edge server to execute An edge server capable of communicating with the cloud server and the toilet device,
a first communication device configured to communicate with the cloud server;
a second communication device configured to communicate with the toilet device;
a memory for storing detection data relating to optically detected excrement transmitted from the toilet device via the second communication device;
and an arithmetic processing unit that analyzes the detection data stored in the memory,
The arithmetic processing unit analyzes the detection data to determine whether excrement is included in the detection data, and if it is determined that excrement is included, the detection data An edge server that determines data to be transmitted to a cloud server , and transmits the detected data to the cloud server by the first communication device . A toilet seat device installed on the upper part of a toilet bowl,
a light emitting unit that emits light toward the inside of the toilet bowl;
a light receiving unit having an image sensor that receives light;
a memory for storing received light data received by the light receiving unit;
a communication device that transmits the received light data to a cloud server;
and an arithmetic processing unit that analyzes the received light data stored in the memory,
The arithmetic processing unit analyzes the received light data to determine whether excrement is included in the received light data, and if it is determined that excrement is included, the received light data A toilet seat device that determines data to be transmitted to a cloud server , and transmits the received light data to the cloud server by the communication device . 2. The edge server deletes the received light data from the storage area of the edge server when it is determined by analyzing the received light data that the received light data is not to be transmitted to the cloud server. 7. The waste management system according to any one of 6.

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