JP2020169774A - Hot water supply system - Google Patents

Abstract

To detect an abnormality of drain water in accordance with a use environment of a hot water supply system.SOLUTION: A hot water supply system 100 includes: a water level sensor 14 detecting a water level of a bathtub 3; information means 2 capable of informing an abnormality of drain water in the bathtub; and a control section 16 detecting water level reduction speed that is reduction amount per unit time of the level of the bathtub 3 in accordance with output from the water level sensor 14 when reduction in the water level of the bathtub is detected. When a current detection value V0 that is a value of the water level reduction speed detected currently is smaller than a learning value Va1 of the water level reduction speed calculated on the basis of a value of the water level reduction speed detected previously and a difference between the learning value Va1 and the current detection value V0 is larger than a first reference value Ve, the control section 16 determines that an abnormality occurs in drain water in the bathtub, and causes the information means 2 to inform the abnormality of drain water in the bathtub 3.SELECTED DRAWING: Figure 2

Description

The present invention relates to a hot water supply system.

Some water heaters are equipped with a water level sensor in the bathtub circulation pipe for supplying hot water to the bathtub and have a function of detecting fluctuations in the water level in the bathtub. Regarding a water heater having a water level sensor, for example, Patent Document 1 describes a technique for predicting the completion of drainage of a bathtub using a value detected by the water level sensor. In Patent Document 1, when predicting the completion of drainage, first, the water level at the start of tub drainage is detected by the water level sensor, and if the detected water level is equal to or higher than the reference water level, the water level drops from the drainage start water level to the reference water level. The water level drop time required for this is measured. Then, the drainage speed is calculated using the measured water level drop time, and the completion of drainage of the bathtub is predicted from the drainage speed. Further, Patent Document 1 describes that when the measured water level drop time is longer than the abnormality determination time separately determined, a notification prompting the cleaning of the drain port is performed without calculating the drain speed. ing.

Japanese Unexamined Patent Publication No. 2009-293861

In Patent Document 1, the presence or absence of a drainage abnormality is determined based on a comparison between the water level lowering time required for the water level of the bathtub to drop to the reference position and the preset abnormality determination time. However, when draining from the bathtub, even in the standard state where the amount of water flowing out from the drain outlet per unit time is within the set range, the amount of water level drop per unit time of the bathtub is, for example, the shape of the bathtub. It depends on the environment in which the water heater is used. Therefore, in the drainage abnormality determination method in which the measured water level drop time is compared with a preset determination value (“abnormality determination time” in Patent Document 1), there is almost no abnormality in the drainage port, or the drainage port. There may be a situation in which the drainage abnormality is falsely reported even though the clogging is very slight, or a situation in which the drainage abnormality is not notified even though there is an abnormality such as clogging in the drainage port.

An object of the present invention is to provide a technique capable of appropriately detecting an abnormality in drainage of a bathtub according to the usage environment of a hot water supply system, for the purpose of solving the above problems.

The hot water supply system of the present invention has a water level sensor that detects the water level of the bathtub, a notification means that can notify an abnormality of the drainage of the bathtub, and a water level of the bathtub according to the output of the water level sensor when the water level of the bathtub is detected. It is provided with a control unit for detecting the rate of decrease in water level, which is the amount of decrease per unit time. The control unit learns that the current detection value, which is the value of the water level decrease rate detected this time, is smaller than the learning value of the water level decrease rate calculated based on the value of the water level decrease rate detected so far. When the difference between the value and the value detected this time is larger than the first reference value, it is determined that the drainage of the bathtub is abnormal, and the abnormality of the drainage of the bathtub is notified by the notification means.

According to the present invention, when determining a drainage abnormality, a learning value calculated based on the value of the water level decrease rate detected up to the previous time is used as a reference value for the determination. By using the learning value based on the detected value of the past water level drop rate in this way, it is possible to judge the drainage abnormality of the bathtub according to the actual usage environment of the hot water supply system, and drainage with high accuracy. Abnormality can be detected.

It is a figure which shows typically the structure of the hot water supply system which concerns on embodiment of this invention. It is a figure which showed the routine of the control executed by the control part of the hot water supply device which concerns on embodiment of this invention in the flowchart. It is a figure which shows an example of the display screen displayed on the display part of the remote controller of the hot water supply system which concerns on embodiment of this invention.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. In each figure, the same or corresponding parts are designated by the same reference numerals to simplify or omit the description.

FIG. 1 is a diagram schematically showing the hot water supply system 100 of the first embodiment. In FIG. 1, the hot water supply system 100 has a hot water supply device 1 and a remote controller 2. The hot water supply device 1 has a function of filling the bathtub 3 with hot water by supplying hot water to the bathtub 3 in the bathroom outside the hot water supply device 1.

The hot water supply device 1 has a bath side circulation circuit 12. The bath side circulation circuit 12 is connected to the bathtub 3. In the following description, the hot water stored in the bathtub may be referred to as "bath water". The bath-side circulation circuit 12 is a route capable of drawing bath water from the bathtub 3 and returning the bath water via the heat exchanger of the hot water supply device 1 (not shown) to the bathtub 3 again.

A water level sensor 14 is installed on the path of the bath-side circulation circuit 12. The water level sensor 14 is a sensor that emits an output according to the water level of the bathtub 3, and the water level of the bath water in the bathtub 3 is detected based on the output of the water level sensor 14.

The hot water supply device 1 further has a control unit 16. In addition to the water level sensor 14, various sensors included in the hot water supply system 100 are connected to the control unit 16. Further, the remote controller 2 and various actuators of the hot water supply system 100 are connected to the control unit 16. The control unit 16 has, for example, a processor and a memory. When the processor reads and executes the control program recorded in the memory, various functions of the control unit 16 are realized.

The remote controller 2 is an example of a user interface. The remote controller 2 has an operation unit operated by the user and a display unit 22 for displaying information. The remote controller 2 may include a touch screen having the functions of both the operation unit and the display unit 22. The display unit 22 of the remote controller 2 has a function as a notification means for notifying the user of information. The remote controller 2 in the present embodiment includes the display unit 22 as a notification means, but the notification means is not limited to this, and as a modification, other notification means such as a voice guidance device may be provided.

The remote controller 2 may be installed on a wall such as a kitchen, a living room, or a bathroom. Alternatively, for example, a mobile information terminal such as a smartphone may be configured to have a function as a user interface such as the remote controller 2. A plurality of remote controllers 2 may be able to communicate with the control unit 16.

In the present embodiment, the function of the control unit 16 includes a drainage abnormality determination function for determining the presence or absence of an abnormality in the drainage of the bath water of the bathtub 3. FIG. 2 is a flowchart showing a routine for controlling drainage abnormality determination executed by the control unit 16. The function of the drainage abnormality determination is realized by executing the control of the drainage abnormality determination shown in FIG. Hereinafter, control of drainage abnormality determination will be described with reference to FIG.

In the routine of FIG. 2, in step S102, a drop in the water level of the bathtub 3 is detected. The drop in the water level of the bathtub 3 is detected by the information from the water level sensor 14. In the following description, the water level of the bathtub 3 at the time when the water level drop is detected in step S102 is also referred to as "drainage start water level". When the water level drop is detected in step S102, the process proceeds to step S104.

In step S104, the water level drop rate V0 is calculated. In the process of step S104, for example, it is detected from the information from the water level sensor 14 that the water level of the bathtub 3 has become a water level lowered by a predetermined height from the drainage start water level. Further, the water level drop time, which is the time required for the water level of the bathtub 3 to drop from the drainage start water level to a lower water level by a predetermined height, is measured. Then, the water level drop rate V0 is calculated based on the measured water level drop time. Here, it is desirable that the "predetermined height" set for calculating the water level lowering rate is in a very small height range of, for example, about 1 cm. When the bathtub 3 is a bathtub whose surface area fluctuates depending on the water level, such as a bathtub with a step, if the calculation range of the water level drop rate V0 is increased, the shape of the bathtub 3 affects the water level drop rate V0, and the accuracy of the drainage abnormality determination is accurate. This is because there is a risk that

Next, the process proceeds to step S106, and it is determined whether or not the water level lowering speed V0 calculated in step S104 is within the reference range of Vc or more and Vb or less. The process of step S106 is a process for determining whether or not the water level drop detected in step S102 is due to the bathtub 3 being in a drainage state. The "drainage state" in the present embodiment means a state in which drainage from the drain port of the bathtub 3 is performed, for example, by pulling out the drain plug.

In step S106, the lower limit value Vc for specifying the reference range is a value set as a reference value for determining a water level drop due to the user scooping out the bath water or pumping the bath water by the washing machine. Therefore, the initial value of the lower limit value Vc is a value sufficiently lower than the lower limit value of the range of the water level lowering rate assumed in the drainage state, and the bath water is scraped out by the user or the bath water by the washing machine. It is set to a value near the upper limit of the estimated range of the water level drop rate in pumping. As an example, the initial value of the lower limit value Vc is 0.07 cm / sec. On the other hand, the upper limit value Vb for specifying the reference range is a value set as a reference value for discriminating a sudden drop in water level due to the user taking a bath or the like. Therefore, the initial value of the upper limit value Vb is a value sufficiently higher than the upper limit value of the range of the water level lowering rate assumed in the drainage state, and is within the range of the water level lowering rate assumed when the user takes a bath. It is set to a value near the lower limit. As an example, the initial value of the upper limit value Vb is 0.5 cm / sec.

However, the upper limit value Vb and the lower limit value Vc are values that are updated based on the learning value of the water level lowering rate by the process described later. Therefore, the reference range in step S106 is also a range that fluctuates according to the learning value. Details of this will be described later.

That is, in the treatment of step S106, the water level drops due to the drainage state and other factors (for example, the user scoops out the bath water, the washing machine pumps the bath water, and the user takes a bath). Is distinguished based on the detected water level drop rate V0.

If it is determined in step S106 that the water level lowering rate V0 is not within the reference range (Vc or more and Vb or less), it is determined that the bathtub 3 is not in the drainage state at present. Therefore, this process ends as it is. On the other hand, if it is determined in step S106 that the water level lowering rate V0 is within the reference range (Vc or more and Vb or less), the process proceeds to step S108.

In step S108, the learning value Va1 of the water level lowering rate is selected corresponding to the drainage start water level. The learning value Va1 of the water level lowering rate is calculated by a process described later, is associated with the range of the drainage start water level, and is stored in the control unit 16 as a value for each range. The learning value Va1 is set to a value for each range of the drainage start water level because the water level decrease rate may differ depending on the drainage start water level even when the drainage is normal, such as in a bathtub with a step.

In the subsequent processing of steps S110 and S112, two reference values, a first reference value Ve and a second reference value Vd, are used. The first reference value Ve is a reference value for determining an abnormality that should be immediately determined to be a drainage abnormality, such as a severe clogging of the drainage port. The first reference value Ve is appropriately set according to the range of the amount of decrease in the rate of decrease in water level that occurs when a major abnormality such as severe clogging of the drain outlet occurs. On the other hand, the second reference value Vd is a reference value for determining the presence or absence of a slight drainage abnormality including, for example, a slight clogging of the drainage port. The second reference value Vd is appropriately set according to the range of the amount of decrease in the water level lowering rate that occurs when a slight abnormality occurs in the drainage operation. Since the second reference value Vd is a determination value assuming a minor abnormality than the first reference value Ve, it is set to a smaller value than the first reference value Ve.

In the process of step S110, whether or not the water level lowering speed V0 is smaller than the learning value Va1 and the difference between the learning value Va1 and the water level lowering speed V0 is larger than the second reference value Vd, that is, "the second reference value". It is determined whether or not Vd <learning value Va1-water level lowering speed V0 "is established.

In step S110, if "second reference value Vd <learning value Va1-water level lowering speed V0" is satisfied, the process proceeds to step S112, and if not, the process proceeds to step S124.

In step S112, whether or not the water level lowering speed V0 is smaller than the learning value Va1 and the difference between the learning value Va1 and the water level lowering speed V0 is larger than the first reference value Ve, that is, "the first reference value Ve < It is determined whether or not the learning value Va1-water level lowering speed V0 ”is established.

If it is determined in step S112 that "first reference value Ve <learning value Va1-water level lowering speed V0" is satisfied, the process proceeds to step S113, and if it is determined that the process is not established, the process proceeds to step S120. In step S113, the value of the abnormality counter is set to zero, which is the initial value. The abnormality counter will be described later. After the process of step S113, the process proceeds to step S114.

On the other hand, in step S120, the abnormality counter is incremented. The abnormality counter is a counter that counts the number of times that minor abnormalities are continuously detected, and more specifically, by the processing of step S120, the difference of the water level lowering speed V0 with respect to the learning value Va1 is larger than the first reference value. The number of times that the determination that the value is smaller than the second reference value is continuously made is counted. The initial value of the anomaly counter is set to zero.

Next, the process proceeds to step S122, and it is determined whether or not the abnormality counter is equal to or greater than the first reference number α. In step S122, if the abnormality counter is determined to be equal to or greater than the first reference number α, the process proceeds to step S114, and if it is determined to be less than the first reference number α, the current process remains as it is. finish.

In the process of step S114 following step S113 or step S120, the value of the decrease counter and the value of the return counter are set to zero, which are the initial values, respectively. The decrease counter and the return counter will be described later.

Next, in step S115, it is determined that the drainage is abnormal. In this case, the process proceeds to step S116, and the display unit 22 of the remote controller 2 displays that the drainage abnormality is present, so that the user is notified of the drainage abnormality. FIG. 3 shows an example of a display screen displayed on the display unit 22 of the remote controller 2 when a drainage abnormality is notified in step S116. Although FIG. 3 shows a method of notifying the display unit 22 of the drainage abnormality, the process of step S116 may be, for example, a process of notifying the user of the content indicating the drainage abnormality by voice guidance. After that, the drainage determination control this time is temporarily terminated.

If it is determined in step S110 that the difference obtained by subtracting the current water level drop rate V0 from the learning value Va1 is equal to or less than the second reference value Vd, the process then proceeds to step S124. In step S124, it is determined whether or not the difference between the learning value Va1 and the water level lowering speed V0 is smaller than the second reference value Vd, that is, whether or not “−Vd <Va1-V0 <Vd” is satisfied. If it is determined in step S124 that "-Vd <Va1-V0 <Vd" is satisfied, the process proceeds to step S126, and if it is determined that the process is not satisfied, the process proceeds to step S132, which will be described later.

In step S126, the value of the return counter is incremented. The return counter is a counter that counts the number of times that the difference between the learning value Va1 and the water level drop speed V0 is continuously determined to be smaller than the second reference value Vd. The initial value of the return counter is 0.

Next, the process proceeds to step S128, and it is determined whether or not the value of the return counter is equal to or greater than the second reference number β. The second reference number β is a value that is preset and recorded in the control unit 16. The second reference number β is a value of 2 or more. As a result, it is determined whether the determination that the difference between the learning value Va1 and the water level drop rate V0 is smaller than the second reference value Vd is made a plurality of times (β times) in succession.

If it is determined in step S128 that the return counter is equal to or greater than the second reference number β, the process proceeds to step S130, and the return counter and the abnormality counter are set to the initial values 0.

If it is determined in step S128 that the value of the return counter is less than the second reference number β, or after the process of step S130, the process proceeds to step S132. In step S132, the average value Va0 of the water level drop rate for the past predetermined number of times is calculated including the water level drop rate V0 calculated in step S104 in this routine. Here, the predetermined number of times is a value that is appropriately set and stored in advance in the control unit 16.

Next, the process proceeds to step S134, and it is determined whether or not the calculated average value Va0 is smaller than the currently used learning value Va1. When the average value Va0 is smaller than the current learning value Va1, that is, when the water level drop rate V0 is smaller than the learning value Va1, the process proceeds to step S136, and when the average value Va0 is equal to or greater than the learning value Va1. The process proceeds to step S144.

In step S136, the average value Va0 calculated in step S132 is stored as the learning value Va1 to be used when this control routine is executed next time, and the learning value Va1 is updated. Here, the average value Va0 is stored as data according to the drainage start water level. That is, the data of the learning value Va1 is stored as data for each division in which the water level of the bathtub 3 is divided in a certain range. Therefore, in the process of step S136, the average value Va0 is stored as a learning value corresponding to the category to which the current drainage start water level belongs. As an example, the average value Va0 is stored as a learning value of Category 1 when the drainage start water level is 30 to 35 cm, and is stored as a learning value of Category 2 when the drainage start water level is 25 to 30 cm.

Next, the process proceeds to step S138, and the decrease counter is incremented. The decrease counter is a counter that counts the number of times that the water level decrease rate V0 is continuously determined to be smaller than the learning value Va1.

Next, the process proceeds to step S140. In step S140, it is determined whether or not the decrease counter is equal to or greater than the third reference number γ. The third reference number γ is a value of 2 or more. When the decrease counter is equal to or greater than the third reference number γ, the process proceeds to step S115, it is determined that the drainage is abnormal, and in step S116, it is notified that the drainage is abnormal. After that, the drainage determination control is temporarily terminated.

On the other hand, if it is determined in step S140 that the reduction counter is smaller than the third reference number γ, the process proceeds to step S142, and the upper limit value Vb and the lower limit value Vc for specifying the reference range are calculated and updated. Here, the upper limit value Vb is a value obtained by adding a predetermined value Vf to the average value Va0 calculated this time, and the lower limit value Vc is a value obtained by subtracting the predetermined value Vg from the average value Va0. The predetermined values Vf and Vg are an upper limit offset value and a lower limit offset value, respectively, and appropriate values are calculated in advance by an experiment, a simulation, or the like and stored in the control unit 16. As a result, the reference range specified by the upper limit value Vb and the lower limit value Vc is updated to the optimum range in consideration of the average value Va0, that is, the learning value Va1 of the water level drop rate used from the next time onward. By updating the upper limit value Vb and the lower limit value Vc based on the average value Va0 in this way, it is possible to determine the drainage abnormality suitable for the current usage environment (the shape of the bathtub, the shape of the drain port, etc.). After that, this process ends.

Further, in step S134, when it is determined that the average value Va0 is equal to or greater than the learning value Va1, that is, when the current water level decrease rate V0 is equal to or greater than the learning value Va1, then in step S144, the decrease counter is set. The initial value is set to 0.

After that, in step S146, the average value Va0 calculated in step S132 is stored as the learning value Va1 to be used in the next routine, and the learning value Va1 is updated. As described above, the average value Va0 is stored as learning value data according to the drainage start water level. Next, the process proceeds to step S142, and after the reference range is updated to the range based on the learning value Va1 as described above, the current process ends.

As described above, the drainage abnormality can be appropriately detected and notified by performing the drainage abnormality determination by comparing the water level drop rate V0 with the learning value Va1 which is the average value of the water level drop rate up to the previous time.

In the control of FIG. 2, a case where two determination criteria, a second reference value Vd and a first reference value Ve larger than the second reference value Vd, is provided has been described. As a result, when an abnormal state occurs in which the water level drop rate becomes extremely slow, it can be immediately determined as an abnormality and the user can be notified of the drainage abnormality at an early stage. On the other hand, for example, when the decrease in the water level decrease rate is a slight decrease that does not require immediate notification of the abnormality, the drainage abnormality is notified until the decrease in the water level decrease rate is confirmed by the first reference number of α times. It can be prevented from being done.

By the way, the first reference number α may be set to 1, but in that case, as a result, the difference between the water level drop rate V0 and the learning value Va1 is larger than the second reference value Vd, so that an abnormality is immediately obtained. Will be determined. That is, instead of setting the first reference number α to 1, the processing of steps S112, S113, and S120, S122 is omitted, and the difference between the water level drop rate V0 and the learning value Va1 this time is predetermined. If it is larger than the reference value of, it may be immediately determined that the drainage is abnormal. In this case, in the other step, one reference value may be set and each process may be executed without distinguishing between the first reference value Ve and the second reference value Vd.

On the other hand, if the amount of decrease in the water level decrease rate is small, the drainage abnormality is not immediately notified, and if control is performed to see if the water level decrease rate decreases multiple times, the first reference number α Is set to 2 or more, more preferably 3 or more. By setting the first reference number α to 2 or more, the drainage abnormality is immediately notified due to the decrease in the water level drop rate due to the user's inadequacy (for example, the drainage port is covered with a falling object such as a towel). Such a situation can be avoided. The specific value of the first reference number α is appropriately determined in consideration of the difference between the first reference value Vd and the second reference value Ve and various situations in which the water level lowering rate is lowered according to the usage environment of the bathtub. Can be set.

Further, in the control of FIG. 2, when the decrease counter is equal to or more than the third reference number γ, even if the value obtained by subtracting the water level lowering speed V0 from the learning value Va1 is equal to or less than the second reference value Vd, drainage abnormality occurs. The case where it is determined has been described. As a result, even when the water level lowering rate V0 continues to decrease a plurality of times, it is determined that the drainage abnormality is present, and a more appropriate determination of the drainage abnormality can be made. However, the control of the wastewater abnormality determination does not have to be configured to have such a treatment. That is, when the processing of steps S134, S136, S140, and S144 is omitted and the value obtained by subtracting the water level lowering speed V0 from the learning value Va1 is the second reference value Vd, it is determined that there is no drainage abnormality. May be good.

Further, in the control of FIG. 2, when the difference between the water level drop rate V0, which is the detected value this time, and the learning value Va1 is smaller than the second reference value Vd, the water level drop rate V0, which is the detected value this time, is included in the calculation. The case where the average value Va0 is updated as the learning value Va1 to be used in the next and subsequent processes has been described. However, in order to set the learning value Va1 to an appropriate value according to the usage environment, as a condition for updating the learning value Va1, some range is defined for the difference between the water level drop rate V0 and the learning value Va1. It is desirable to keep it. However, this range does not have to be the range specified by the second reference value Vd or the first reference value Ve used for determining the drainage abnormality.

Further, a case where the average value of the water level drop rate of a plurality of times in the past is used as the learning value Va1 has been described. Here, it is possible to appropriately set how many times the past data is used to calculate the learning value Va1. Further, the learning value Va1 is not limited to the average value of the water level lowering speeds of the past multiple times, is calculated by the water level lowering speeds of the past multiple times, and the water level lowering speed of this time is within a predetermined range. On condition that, the value may be updated using the current water level drop rate V0. That is, the learning value Va1 may be calculated by some statistical method using the data of the water level drop rate a plurality of times in the past. Alternatively, the learning value Va1 may be corrected and updated by the current water level drop rate V0.

Further, in the control of FIG. 2, a case where the drainage abnormality determination is not executed when the water level lowering rate, which is the detected value this time, is not within the reference range (Vc or more and Vd or less) has been described. As a result, it is possible to avoid a situation in which a drainage abnormality is determined due to a drop in the water level of the bathtub 3 due to other factors other than the drainage state. However, the present invention may not include this configuration.

Further, in the control of FIG. 2, the case where the water level decrease rate, which is the detected value this time, is calculated by using the time required for the water level to decrease by a predetermined height from the drainage start water level has been described. As a result, even when the bathtub 3 is a bathtub whose surface area fluctuates depending on the water level, such as a bathtub with a step, the influence of the shape of the bathtub 3 on the water level drop rate V0 can be suppressed, and the accuracy of drainage abnormality determination can be improved. it can. However, the water level lowering rate is not limited to the one based on the drainage start water level, and for example, when the water level drops within a preset range, the water level lowering rate in that range may be obtained. Further, the rate of water level decrease may be calculated based on the amount of water level decrease during a predetermined time from the start of drainage without providing a particular range.

Further, in the control of FIG. 2, the learning value Va1 corresponding to the classification to which the drainage start water level belongs this time is used, and when the learning value Va1 is updated, the calculated average value Va0 is used as the classification to which the drainage start water level belongs this time. The case of storing as the learning value Va1 corresponding to is described. As a result, the influence of the shape of the bathtub 3 on the water level lowering speed V0 can be suppressed, and the accuracy of the drainage abnormality determination can be improved. However, the learning value may not be a value for each division of the drainage start water level, and a common learning value may be used to determine the drainage abnormality. Even if the learning value is common regardless of the water level, the range for calculating the water level decrease rate is limited to a small range, or the abnormality determination control is executed or the abnormality determination control is executed only when the water level decrease rate is within the reference range. By updating the learning value only when the water level decrease rate is within the reference value, it is possible to suppress the influence of the shape of the bathtub 3 on the water level decrease rate to some extent and correctly determine the drainage abnormality.

It should be noted that when the number, quantity, quantity, range, etc. of each element is referred to in the above-described embodiment, the reference is made except when explicitly stated or when the number is clearly specified in principle. The invention is not limited in number. In addition, the structure and the like described in this embodiment are not necessarily essential to the present invention unless otherwise specified or clearly specified in principle.

100 Hot water supply system, 1 Hot water supply device, 12 Bath side circulation circuit, 14 Water level sensor, 16 Control unit, 2 Remote control, 22 Display unit, 3 Bathtub

Claims (9)

A water level sensor that detects the water level in the bathtub and
A notification means capable of notifying the abnormality of drainage of the bathtub and
When the water level drop in the bathtub is detected, a control unit that detects the water level drop rate, which is the amount of drop in the water level of the bathtub per unit time, according to the output of the water level sensor.
With
The control unit
The current detection value, which is the value of the water level decrease rate detected this time, is smaller than the learning value of the water level decrease rate calculated based on the value of the water level decrease rate detected so far, and the learning When the difference between the value and the value detected this time is larger than the first reference value, it is determined that the drainage of the bathtub is abnormal.
When it is determined that the drainage of the bathtub is abnormal, the notification means notifies the abnormality of the drainage of the bathtub.
A hot water supply system that features this. The control unit
When it is determined that the difference between the current detection value and the learning value is equal to or less than the first reference value and the current detection value is smaller than the learning value a plurality of times in succession. Judging that the drainage of the bathtub is abnormal,
The hot water supply system according to claim 1. The control unit
When the difference between the current detection value and the learning value is smaller than the first reference value, the learning value is updated using the current detection value.
The hot water supply system according to claim 1 or 2. The control unit
The determination that the current detection value is smaller than the learning value and the difference between the learning value and the current detection value is larger than the second reference value and equal to or less than the first reference value is continuously determined a plurality of times. If it is done, it is judged that the drainage of the bathtub is abnormal.
The hot water supply system according to any one of claims 1 to 3, wherein the hot water supply system is characterized by the above. The control unit
When it is determined that the difference between the current detection value and the learning value is equal to or less than the second reference value and the current detection value is smaller than the learning value a plurality of times in succession. Judging that the drainage of the bathtub is abnormal,
The hot water supply system according to claim 4, wherein the hot water supply system is characterized in that. The control unit
When the difference between the current detection value and the learning value is smaller than the second reference value, the learning value is updated by using the current detection value.
The hot water supply system according to claim 4 or 5. If the difference between the detected value this time and the learned value is not within the reference range, the abnormality of the drainage of the bathtub is not determined.
The hot water supply system according to any one of claims 1 to 6, characterized in that. The current detection value is calculated based on the water level drop rate detected during the period from the time when the water level drop in the bathtub is detected until the water level in the bathtub drops by a predetermined height.
The hot water supply system according to any one of claims 1 to 7, characterized in that. The control unit
The learned value is stored as a value for each range of the water level at the time when the water level drop in the bathtub is detected.
As the learning value in the determination of the abnormality of the drainage of the bathtub, the learning value corresponding to the range to which the water level at the time when the water level drop of the bathtub is detected belongs is used.
The hot water supply system according to any one of claims 1 to 8, characterized in that.

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