Appliance number diagnostic system and appliance number diagnostic method

Abstract

To provide an appliance number diagnostic system and an appliance number diagnostic method which are easy to use.SOLUTION: An appliance number diagnostic system comprises: a control unit for acquiring the use information of sanitation appliances installed in a toilet room; and an information unit which can communicate with the control unit. The control unit calculates a waiting time composition ratio obtained by separating the waiting time of the sanitation appliances in a prescribed period based on the use information, and the information unit informs the waiting time composition ratio.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] Aspects of the present invention generally relate to instrument population diagnostic systems and methods. [Background technology]

[0002] BACKGROUND ART A design support device for supporting the design of an installation location where a toilet is to be installed is known (for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2023-7162 Summary of the Invention [Problem to be solved by the invention]

[0004] The design support device in Patent Document 1 calculates the number of toilets using the fixture number calculation logic proposed by the Society of Heating, Air-Conditioning and Sanitary Engineers of Japan, which may not match the actual conditions of each site.

[0005] The aspects of the present invention have been made based on the recognition of such problems, and have an object to provide an easy-to-use appliance number diagnosis system and appliance number diagnosis method. [Means for solving the problem]

[0006] The first invention is an appliance number diagnosis system comprising a control unit that acquires usage information of sanitary equipment installed in a toilet room, and an alarm unit that can communicate with the control unit, wherein the control unit calculates a waiting time composition ratio by dividing the waiting time of the sanitary equipment over a predetermined period based on the usage information, and the alarm unit notifies the waiting time composition ratio.

[0007] This fixture number diagnostic system can determine whether the number of sanitary equipment fixtures in a toilet room is appropriate by calculating the waiting time composition ratio for each fixture number on a specified day, time, and time period.

[0008] A second invention is the appliance number diagnostic system of the first invention, characterized in that the waiting time composition ratio is composed of no waiting time, acceptable waiting time, and unacceptable waiting time.

[0009] This appliance number diagnostic system not only reports the ratio of cases with and without waiting times, but also classifies and notifies users of waiting times that are within the acceptable range, which is generally acceptable to users, and waiting times that are not acceptable to users. Therefore, it is possible to determine the number of appliances taking into account user satisfaction, for example.

[0010] A third invention is the appliance number diagnostic system according to the second invention, characterized in that the allowable waiting time can be set arbitrarily.

[0011] According to this fixture number diagnostic system, the allowable waiting time can be set arbitrarily, so that information suited to the circumstances and environment of the restroom can be provided.

[0012] A fourth invention is an appliance number diagnosis system according to the third invention, characterized in that the sanitary equipment includes a first appliance and a second appliance of a different type from the first appliance, and the allowable waiting time can be set individually for the first appliance and the second appliance.

[0013] This appliance count diagnostic system can provide information tailored to each appliance.

[0014] A fifth invention is an appliance number diagnosis system according to any one of the first to fourth inventions, characterized in that the control unit calculates the maximum waiting time for the sanitary equipment, and the notification unit notifies the maximum waiting time.

[0015] According to this fixture number diagnostic system, the number of fixtures can be determined taking into consideration the maximum waiting time of users using the sanitary equipment.

[0016] The sixth invention is an appliance number diagnosis method characterized by comprising an information acquisition process for acquiring usage information of sanitary equipment installed in a toilet room, a composition ratio calculation process for calculating a waiting time composition ratio by dividing the waiting time of the sanitary equipment over a predetermined period based on the usage information, and an output process for outputting the waiting time composition ratio to an alarm unit.

[0017] According to this fixture number diagnosis method, by calculating the waiting time composition ratio for each fixture number on a specified day, time period, and time zone, it is possible to determine whether the number of sanitary equipment fixtures in a toilet room is appropriate. [Effects of the Invention]

[0018] According to aspects of the present invention, an easy-to-use instrument count diagnostic system and instrument count diagnostic method are provided. [Brief explanation of the drawings]

[0019] [Figure 1] 1 is an explanatory diagram illustrating an appliance number diagnostic system according to an embodiment of the present invention. [Figure 2] FIG. 1 is a block diagram showing an appliance number diagnostic system including a toilet room, a management device, and a notification unit. [Figure 3] 10 is a flowchart showing the appliance number diagnosis control executed by the control unit of the management device. [Figure 4] FIG. 10 is an explanatory diagram showing an example of user information of a user who has used a booth. [Figure 5] FIG. 5 is an explanatory diagram showing a waiting time calculated from the user information in FIG. 4. [Figure 6] FIG. 10 is an explanatory diagram showing a simulation result when the number of booths is increased. [Figure 7] FIG. 7(a) is an explanatory diagram showing the waiting time and maximum waiting time of each user, and FIG. 7(b) is an explanatory diagram showing the proportion of the waiting time composition ratio. [Figure 8] 8 is a graph showing the waiting time composition ratio in FIG. 7. [Figure 9] 8 is a graph showing the maximum waiting time in FIG. 7. [Figure 10] 10 is a graph showing an example of a time composition ratio on an average day of use. [Figure 11] 10 is a graph showing an example of a time composition ratio on a day with a large number of users. [Figure 12] 10 is a graph showing an example of the maximum waiting time on an average day of use. [Figure 13] 10 is a graph showing an example of the maximum waiting time on a day when the number of users is large. DETAILED DESCRIPTION OF THE INVENTION

[0020] Hereinafter, embodiments will be described with reference to the drawings. In the drawings, like components are designated by like reference numerals, and detailed descriptions thereof will be omitted where appropriate. FIG. 1 is an explanatory diagram showing an appliance number diagnostic system according to an embodiment of the present invention. FIG. 2 is a block diagram showing an appliance number diagnostic system including a toilet room, a management device, and a notification unit.

[0021] The fixture number diagnosis system 1 diagnoses whether the number of fixtures installed in a toilet room TR is appropriate for the number of users who will be using the toilet room TR. The fixtures are, for example, sanitary equipment such as a booth 10 (toilet bowl 10a), a washbasin 20a, a urinal 23, and a hand dryer (not shown) installed in the toilet room TR.

[0022] A toilet room TR is installed, for example, in a public facility or building. As shown in Fig. 1, in this example, the toilet room TR has one booth 10 equipped with a toilet bowl 10a. The toilet room TR also has a sink 20 with a washbasin 20a, a hand dryer (not shown), and the like. The toilet room TR also has a urinal 23 installed as needed.

[0023] The fixture number diagnosis system 1 includes a management device 40 connected to the toilet room TR via a network 30, and a notification unit 50 connected to the management device 40 via the network 30. In this example, the fixture number diagnosis system 1 diagnoses the number of booths 10 in the toilet room TR. The diagnosis of the quantity of booths 10 will be explained in detail later.

[0024] The human body detection unit 15 detects users using the booth 10. The human body detection unit 15 can detect users entering and exiting the booth 10, for example, by using an entrance / exit sensor such as a door sensor, a seating sensor that detects sitting on the toilet bowl 10a, or an infrared sensor that detects users of the booth 10. The detection results by the human body detection unit 15 are transmitted to the management device 40 via the network device 25.

[0025] The network device 25 is provided in the toilet room TR. The network device 25 is a gateway that converts protocols. Note that the network device 25 is not limited to a gateway, and may be any communication device that can communicate with the outside.

[0026] The network device 25 transmits usage information of the booth 10 (toilet bowl 10a) and a plurality of pieces of device information related to the need for maintenance, etc., to the management device 40 via the network 30. In this way, the network device 25 is connected to the booth 10 and the sanitary equipment in the toilet room TR, and transmits usage information and equipment information of the booth 10 and the sanitary equipment to the management device 40. The network device 25 also receives various command signals transmitted from the management device 40 and transmits them to the booth 10 and the sanitary equipment.

[0027] The network 30 is, for example, the Internet or a LAN (Local Area Network), and connects the network devices 25 and the notification unit 50 via a management device 40. The network 30 may connect the management device 40 and the notification unit 50, and the management device 40 and the network devices 25, via a wired or wireless connection, or may be a combination of a wired and wireless connection. The network 30 may be any network that enables communication between the network devices 25, the management device 40, and the notification unit 50.

[0028] The management device 40 is installed at a location away from the toilet room TR. The management device 40 is, for example, a cloud server, and is connected to the notification unit 50 via the network 30 to manage information about the toilet room TR. The management device 40 may also be installed in the same building as the toilet room TR.

[0029] The management device 40 manages, for example, a plurality of restrooms TR. The management device 40 has a first communication unit 42, a second communication unit 44, and a control unit 46. The management device 40 acquires usage information of the booths 10 and runs a simulation of how the booths 10 are used. The management device 40 also runs a simulation when the number of booths 10 is increased or decreased. The management device 40 transmits the simulation results to the notification unit 50.

[0030] The first communication unit 42 receives a command signal transmitted from the network device 25 in the toilet room TR. The first communication unit 42 also transmits a command signal to the network device 25. That is, the first communication unit 42 and the network device 25 communicate bidirectionally. The first communication unit 42 is controlled by the control unit 46.

[0031] The second communication unit 44 receives a command signal transmitted from the notification unit 50. The second communication unit 44 also transmits a command signal to the notification unit 50. That is, the second communication unit 44 and the notification unit 50 communicate bidirectionally. The second communication unit 44 is controlled by the control unit 46.

[0032] The control unit 46 controls the operation of the first communication unit 42 and the second communication unit 44. The control unit 46 stores, for example, command signals transmitted from the network device 25 (such as usage information on the booth 10, device information on the toilet bowl 10a, and information on the toilet room TR) and command signals transmitted from the notification unit 50 (such as cleaning information) in the storage unit 47. The control unit 46 also causes the first communication unit 42 to transmit command signals to the network device 25 and the second communication unit 44 to transmit command signals to the notification unit 50.

[0033] The control unit 46 acquires (receives) usage information of the booths 10. Then, the control unit 46 associates the acquired usage information (entry and exit) of the booths 10 with the date and time and stores it in the storage unit 47. The control unit 46 calculates the waiting time and maximum waiting time of users based on the usage information of the booths 10 by multiple users. Furthermore, the control unit 46 calculates (simulates) the waiting time and maximum waiting time of users when the number of booths is increased or decreased.

[0034] The notification unit 50 is, for example, an administrator terminal held by an administrator who manages the toilet room TR, and is, for example, a mobile terminal 50a or a PC terminal 50b. The notification unit 50 is connected to the management device 40 via the network 30.

[0035] The manager can, for example, connect to the management device 40 to obtain (view) various information such as the toilet bowl 10a installed in the toilet room TR. The manager can also operate the notification unit 50 to output various command signals from the management device 40 to the toilet room TR. The mobile terminal 50a and the PC terminal 50b may be capable of communicating with each other. The notification unit 50 does not have to be owned by the manager of the toilet room TR. For example, the notification unit 50 may be viewable by the facility designer or client. The notification unit 50 only needs to be capable of reporting at least the simulation results of the fixture number diagnostic control calculated by the control unit 46.

[0036] In this way, the fixture number diagnosis system 1 enables the administrator to centrally manage the toilet room TR's usage information and the need for maintenance, etc., by connecting the toilet room TR to the Internet of Things (IoT). This allows the administrator to grasp the information about the toilet room TR from a location away from the toilet room TR.

[0037] Next, the calculation (simulation) of the appliance number diagnostic control executed by the control unit 46 will be described with reference to FIGS. FIG. 3 is a flowchart showing the appliance number diagnosis control executed by the control unit of the management device. FIG. 4 is an explanatory diagram showing an example of user information of a user who has used a booth. FIG. 5 is an explanatory diagram showing the waiting time calculated from the user information of FIG. FIG. 6 is an explanatory diagram showing the simulation results when the number of booths is increased. FIG. 7(a) is an explanatory diagram showing the waiting time and maximum waiting time of each user, and FIG. 7(b) is an explanatory diagram showing the proportion of the waiting time composition ratio. FIG. 8 is a graph showing the waiting time composition ratio in FIG. FIG. 9 is a graph showing the maximum waiting time in FIG.

[0038] The control processing program (appliance number diagnosis method) shown in Fig. 3 is stored in advance in the storage unit 47 of the management device 40. In Fig. 3, each step is indicated by "S", and for example, "step 1" is indicated by "S1".

[0039] The restroom TR is not provided with a detection unit that detects users lining up to use the booth 10. Therefore, the control unit 46 cannot directly grasp the number of users lining up or the waiting time of the users. Therefore, the control unit 46 estimates and calculates the hypothetical arrival time and waiting time of the users from the usage information of the booth 10.

[0040] First, the control unit 46 executes an information acquisition step of acquiring usage information on the sanitary equipment installed in the toilet room TR. In this example, the control unit 46 acquires entry and exit information for the booth 10 from the human body detection unit 15. That is, the control unit 46 stores the date and time of entry and exit from the booth 10 detected by the human body detection unit 15 in the memory unit 47. The control unit 46 is configured to be able to execute a simulation of equipment number diagnosis when it has stored a certain amount of entry and exit records for the booth 10 (for example, one month).

[0041] In S1, the date and time for executing the simulation is obtained. The administrator inputs the date and time for executing the simulation from the notification unit 50. The control unit 46 obtains the date and time for executing the simulation sent from the notification unit 50. In this example, a case will be described in which an instruction is given to perform an appliance number diagnosis from 9:00 to 9:10 on a certain date, month, year.

[0042] FIG. 4 shows usage information for booth 10 from 9:00 to 9:10. It can be recognized that five users, users A to E, used booth 10 from 9:00 to 9:10. Here, for example, it can be seen that user B entered booth 10 at 9:02 based on detection by human body detection unit 15. However, it is not known what time between 9:00 and 9:02 user B arrived at restroom TR. In other words, it is not known how long user B waited until booth 10 became available. Therefore, control unit 46 estimates and calculates the user's waiting time from the number of users from 9:00 to 9:10 and the entry and exit times detected by human body detection unit 15.

[0043] In S2, the staying time in the booth is calculated. That is, as shown in Fig. 4, the control unit 46 calculates the staying time of users A to E in the booth 10 by calculating the difference between the end time (time of leaving the room) detected by the human body detection unit 15 and the start time of use (time of entering the room). That is, the staying time is the usage time during which the user occupies the booth 10 (appliance).

[0044] In S3, the virtual arrival interval between users is calculated. The virtual arrival interval is the difference in start times between users before and after booth 10. As shown in FIG. 4, the virtual arrival interval is, for example, the difference between the entry time of user B into booth 10 and the entry time of user A into booth 10 (9:02-9:00=0:02). If there are multiple booths in the toilet room TR, all the booths are treated as one unit and the difference in start times between users before and after is calculated. In other words, the virtual arrival interval is the difference in entry times between users before and after using any of the booths.

[0045] In this way, the control unit 46 calculates the occupancy time and virtual arrival interval at the booth 10 for a predetermined period based on the detection result of the human body detection unit 15. Then, the control unit 46 executes a simulation of the usage of the booth 10 based on the number of people using the booth 10, the occupancy time at the booth 10, and the virtual arrival interval for the predetermined period. S4 to S6 in FIG. 3 are calculations of the simulation executed by the control unit 46.

[0046] In S4, the control unit 46 calculates the estimated arrival time of the users, the start time of the users, and the waiting time. As shown in Fig. 5, the control unit 46 executes a simulation of five users a to e who use the booth 10 in turn between 9:00 and 9:10. The control unit 46 executes the simulation multiple times by randomly allocating and setting the virtual arrival intervals and stay times.

[0047] The control unit 46 randomly distributes the virtual arrival intervals of the five people calculated in S3. As shown in Fig. 4, the virtual arrival intervals are 0:00 for one person, 0:01 for one person, and 0:02 for three people, and these are distributed randomly.

[0048] Then, the control unit 46 calculates the estimated arrival times of users a to e at the toilet room TR from the randomly assigned virtual arrival intervals. As shown in Fig. 5, user a will arrive at 9:00. User b will arrive at 9:01 because the virtual arrival interval between him and user a is 0:01. User c will arrive at 9:03 because the virtual arrival interval between him and user b is 0:02.

[0049] Next, the control unit 46 randomly allocates the stay times of the five people calculated in S3 in the booth 10. As shown in Fig. 4, the stay times are 0:01 for two people and 0:02 for three people, so these are randomly allocated.

[0050] Then, the control unit 46 calculates the start time and end time of use of the booth 10 for the users a to e from the randomly allocated stay times. As shown in Fig. 5, since user a arrived at 9:00, the start time of use is 9:00, and since the stay time is 0:02, the end time is 9:02.

[0051] User b's usage start time is 9:02, the time user a left booth 10, and his stay time is 0:02, so his end time is 9:04. Here, user b's estimated arrival time is 9:01. User a used booth 10 until 9:02, so his waiting time is 0:01. In this way, control unit 46 executes a simulation of the usage of booth 10 for a predetermined period (in this example, 9:00 to 9:10 on year / month / day).

[0052] In the next step S5, a simulation is performed in the case where the number of booths is increased or decreased. In this example, since there is one booth 10, a simulation is performed in the case where one booth α is added to the toilet room TR.

[0053] As shown in Fig. 6, the control unit 46 calculates the waiting time when there are two booths from the calculated estimated arrival time and stay time. The control unit 46 assigns the user to an available booth between booth 10 and booth α. The "◯" in Fig. 6 indicates the booth used by the user.

[0054] For example, when user b arrives in restroom TR at 9:01, user a is using booth 10. Therefore, the control unit 46 allows user b to enter booth α, which is vacant. As a result, user b's waiting time becomes 0:00. When user c arrives in restroom TR at 9:03, both booth 10 and booth α are vacant. Therefore, the control unit 46 allows user c to enter either booth 10 or booth α. The number of booths (fixtures) to be increased or decreased in the simulation executed by the control unit 46 may be set in advance, for example, by increasing or decreasing the current number by five, or may be input and instructed from the notification unit 50.

[0055] The waiting time is calculated as a different value depending on the combination and allocation method of the virtual arrival interval and the dwell time. Therefore, the control unit 46 executes a simulation multiple times in which the virtual arrival interval and the dwell time are randomly allocated. The control unit 46 averages the waiting times calculated by the multiple simulations executed, and sets the average as the final waiting time result. The number of simulations executed by the control unit 46 is stored in advance in, for example, the storage unit 47. The number of simulations may be set according to the length of a predetermined period.

[0056] In S6, the waiting time component ratio and the maximum waiting time are calculated. The waiting time component ratio is composed of no waiting time, within the acceptable waiting time (for example, less than 280 seconds), and outside the acceptable waiting time (280 seconds or more). The waiting time component ratio may be divided into two categories, or into four or more categories. The acceptable waiting time can be arbitrarily set by, for example, the notification unit 50. The acceptable waiting time may be stored in advance in the storage unit 47. In this example, the acceptable waiting time (threshold) is set to 280 seconds.

[0057] The maximum waiting time is the waiting time of the user who waited the longest within a predetermined period calculated in the simulation. The maximum waiting time is, for example, the average value of the maximum waiting times calculated in each simulation. Note that the maximum waiting time may also be, for example, the longest of the maximum waiting times calculated in all simulations.

[0058] Fig. 7 shows a table in which the waiting times and waiting time component ratios calculated in Figs. 5 and 6 are classified by the number of booths. The control unit 46 executes each simulation to extract the number of people with classified waiting times and the maximum waiting time in a predetermined period. The control unit 46 averages these to calculate the final waiting time component ratio and maximum waiting time. The control processing executed in S1 to S6 is a component ratio calculation step that calculates the waiting time component ratios by classifying the waiting times for sanitary equipment in a predetermined period based on the usage information of the sanitary equipment (booths 10).

[0059] In S7, the simulation results are output. That is, the control unit 46 causes the notification unit 50 to transmit the waiting time component ratio and the maximum waiting time calculated in the simulation. Upon receiving the signals of the waiting time component ratio and the maximum waiting time transmitted from the second communication unit 44, the notification unit 50 causes the notification unit 50 to display graphs such as those shown in FIGS. 8 and 9. The control process executed in S7 is an output step of outputting the waiting time component ratio to the notification unit 50.

[0060] Fig. 8 shows an example of the waiting time component ratio displayed by the notification unit 50. Fig. 9 shows an example of the maximum waiting time displayed by the notification unit 50. The graphs shown in Figs. 8 and 9 show the average values ​​of the waiting time component ratio and the average values ​​of the maximum waiting time obtained from multiple simulations executed by the control unit 46. For ease of explanation, Figs. 8 and 9 use the same values ​​as the waiting time and maximum waiting time calculated from the simulations executed in Figs. 4 to 7.

[0061] As shown in Figure 8, from 9:00 to 9:10, more than half (60%) of the users were able to use booth 10 without waiting, and the remaining 40% of users were able to use booth 10 within the acceptable waiting time (less than 280 seconds). It can also be seen that if one more booth were added, almost all users would be able to use booth 10 without waiting. Therefore, the administrator can see that the waiting time for all users is within the acceptable range between 9:00 and 9:10, even with only the current booth 10.

[0062] Furthermore, as shown in Figure 9, it can be recognized that the maximum waiting time for booth 10 is 60 seconds between 9:00 and 9:10. Therefore, the administrator can recognize that, during the period from 9:00 to 9:10, even if only the current booth 10 is used, booth 10 can be used after waiting about 1 minute. Furthermore, if one more booth is added, almost all users will be able to use booth 10 without waiting, so the maximum waiting time will be 0 minutes.

[0063] By calculating the waiting time composition ratio and maximum waiting time, it is possible to understand the satisfaction of users who use the toilet room TR. In addition, for example, when renovating a toilet room TR, it is possible to review the layout and number of fixtures of the toilet room TR. Furthermore, when constructing a new building in a location with an environment similar to that of the existing toilet room TR in terms of human trends and number of facility users, it can be used as a guide for toilet installation planning.

[0064] In the above-described embodiment, for ease of explanation, an example was given in which a simulation was performed based on the usage information of one booth 10 in the toilet room TR over a short predetermined period (9:00 to 9:10), and the waiting time composition ratio and maximum waiting time were calculated.

[0065] Figures 10 to 13 show the results of the waiting time composition ratio and maximum waiting time for a restroom room currently equipped with eight booths from 8:00 to 18:00. As shown in Figures 10 to 13, the fixture number diagnosis system 1 (fixture number diagnosis method) can also diagnose the number of fixtures (number of booths) in the restroom room while the facility is available by setting the opening hours of the facility (8:00 to 18:00) as a predetermined period, for example. FIG. 10 is a graph showing an example of the time composition ratio on an average day of use. FIG. 11 is a graph showing an example of a time composition ratio on a day with a large number of users. FIG. 12 is a graph showing an example of the maximum waiting time on an average day of use. FIG. 13 is a graph showing an example of the maximum waiting time on a day when the number of users is large. In FIGS. 10 to 13, the current number of booths, "8," is circled.

[0066] As shown in Figure 10, the administrator can see that on an average day of use, such as a weekday, any of the booths can be used with almost no waiting time. Also, as shown in Figure 12, the administrator can see that on an average day of use, there is no waiting time at any of the eight current booths.

[0067] The administrator can consider, for example, increasing or decreasing the number of booths when renovating restrooms, by referring to the waiting time composition ratio shown in Figure 10 and the maximum waiting time shown in Figure 12. Also, in this example, the administrator can consider reducing the number of booths available on weekdays from eight, for example. This will reduce the number of booths and toilets that need to be cleaned.

[0068] Furthermore, as shown in Figure 11, the administrator can see that even on event days, the current number of booths, eight, is being used without user complaints. Furthermore, as shown in Figure 13, the administrator can see that currently, on event days, users can use a booth with a maximum wait time of about 120 seconds. Furthermore, the administrator can predict that if the number of available booths is reduced to six on event days, the restrooms will become crowded.

[0069] The administrator can refer to the waiting time composition ratios shown in Figures 10 and 11 and the maximum waiting times shown in Figures 12 and 13 to change the number of booths available for use or to review plans for renovating restrooms, etc. In addition, for example, a client building a new facility of the same size can use a simulation based on the usage information of restrooms in existing facilities as a reference for planning restrooms.

[0070] In the above-described embodiment, the case where the usage of the booth 10 is simulated as the sanitary equipment has been described as an example. However, the present invention is not limited to this. For example, the control unit 46 may simulate multiple devices in the toilet room TR. The allowable waiting time may be different for each device. That is, the sanitary equipment includes a first device and a second device of a different type from the first device, and the allowable waiting time can be set separately for the first device and the second device. The first device may be, for example, a booth (toilet bowl), and the second device may be a urinal. The allowable waiting time for each of the booth and the urinal may be set arbitrarily by the notification unit 50.

[0071] In the above-described embodiment, an example has been described in which the human body detection unit 15 detects that the booth 10 is occupied by a user. However, the present invention is not limited to this example, and for example, it is also possible to determine whether a sanitary equipment is occupied by detecting the use of the sanitary equipment, rather than by detecting a human body.

[0072] In the above-described embodiment, the control process for the appliance number diagnosis is performed by the control unit 46 of the management device 40. However, the present invention is not limited to this, and the control process for the appliance number diagnosis may be performed by the control unit of the notification unit 50 or the control unit of the toilet room, for example.

[0073] Embodiments may include the following features. (Configuration 1) a control unit that acquires usage information of sanitary equipment installed in a toilet room; a notification unit capable of communicating with the control unit; Equipped with The control unit calculates a waiting time component ratio by dividing the waiting times of the sanitary equipment during a predetermined period based on the usage information, The appliance number diagnostic system is characterized in that the notification unit notifies the waiting time component ratio. (Configuration 2) The appliance number diagnostic system according to configuration 1, wherein the waiting time composition ratio is composed of no waiting time, acceptable waiting time, and unacceptable waiting time. (Configuration 3) The appliance number diagnostic system according to configuration 2, wherein the allowable waiting time can be set arbitrarily. (Configuration 4) The sanitary equipment includes a first device and a second device of a different type from the first device, The appliance number diagnostic system according to configuration 3, wherein the allowable waiting time can be set individually for the first appliance and the second appliance. (Configuration 5) The control unit calculates a maximum waiting time for the sanitary equipment, 5. The appliance number diagnostic system according to any one of configurations 1 to 4, wherein the notification unit notifies the user of the maximum waiting time. (Configuration 6) an information acquisition step of acquiring usage information of sanitary equipment installed in the toilet room; a composition ratio calculation step of calculating a waiting time composition ratio by dividing the waiting times of the sanitary equipment in a predetermined period based on the usage information; an output step of outputting the waiting time component ratio to a notification unit; An appliance number diagnosis method comprising:

[0074] The above describes embodiments of the present invention. However, the present invention is not limited to these descriptions. Design modifications made by a person skilled in the art to the above-described embodiments are also included within the scope of the present invention as long as they incorporate the features of the present invention. For example, the shape, dimensions, materials, and arrangement of each element of the appliance count diagnostic system and appliance count diagnostic method are not limited to those exemplified and can be modified as appropriate. Furthermore, each element of each of the above-described embodiments can be combined to the extent technically possible, and such combinations are also included within the scope of the present invention as long as they incorporate the features of the present invention. [Explanation of symbols]

[0075] 1. Equipment number diagnostic system 10 Booths 10a toilet bowl 15 Human body detection unit 20 Washbasin 20a Washbasin 23 Urinal 25 Network Equipment 30 Network 40 Management device 42 First Communications Department 44 Second Communications Department 46 Control Unit 47 Memory section 50 Information Department 50a Mobile Device 50b PC terminal TR Toilet Room

Claims

1. a control unit that acquires usage information of sanitary equipment installed in a toilet room; a notification unit capable of communicating with the control unit; Equipped with The control unit calculates a waiting time component ratio by dividing the waiting times of the sanitary equipment during a predetermined period based on the usage information, The appliance number diagnostic system is characterized in that the notification unit notifies the waiting time component ratio.

2. 2. The appliance number diagnostic system according to claim 1, wherein the waiting time composition ratio is made up of no waiting time, an acceptable waiting time, and an unacceptable waiting time.

3. The appliance number diagnostic system according to claim 2, wherein the allowable waiting time can be set arbitrarily.

4. The sanitary equipment includes a first equipment and a second equipment of a different type from the first equipment, The appliance number diagnostic system according to claim 3, wherein the allowable waiting time can be set individually for the first appliance and the second appliance.

5. The control unit calculates a maximum waiting time for the sanitary equipment, The appliance number diagnostic system according to any one of claims 1 to 4, wherein the notification unit notifies the user of the maximum waiting time.

6. an information acquisition step of acquiring usage information of sanitary equipment installed in the toilet room; a composition ratio calculation step of calculating a waiting time composition ratio by dividing the waiting times of the sanitary equipment in a predetermined period based on the usage information; an output step of outputting the waiting time component ratio to a notification unit; An appliance number diagnosis method comprising:

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