KR102545368B1 - Sleeping goods laundry management system - Google Patents

Abstract

Provided is a sleeping goods laundry management system, which calculates the minimum waiting time and increases the turnover rate of the washing machine. The sleeping goods laundry management system includes: a list generation step; a disclosure step; and a guidance service step.

Description

Sleep goods laundry management system {SLEEPING GOODS LAUNDRY MANAGEMENT SYSTEM}

The present invention relates to a laundry management system for sleeping products.

In modern society, as the number of single-person households increases, the number of users of unmanned sleeping goods launderettes is increasing. Accordingly, the market for unmanned launderettes is gradually growing, and accordingly, technologies capable of efficiently using unmanned launderettes for sleeping products are also being developed.

Accordingly, there is a need for research and development on a technology to increase the turnover rate of the washing machine by calculating the minimum waiting time and a technology to analyze user information and curate customized washing conditions (washing mode, type of detergent, washing time, etc.).

An object to be solved by the present invention is to provide a sleep article laundry management system that increases the rotation rate of a washing machine by calculating a minimum waiting time.

The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below.

Sleep article laundry management system of the present invention for solving the above problems is a list creation step of generating a waiting list reservation list by collecting information of people waiting for reservation for each washing machine; and announcing the generated waitlist reservation list in time series in the order of reservation, wherein even if the waiting list of the waiting list is first, if the washing machine is not used before the end of the use of the washing machine, the Priority for using the washing machine is given to a person on standby at the site, and when the first-ranked user of the waiting list for the washing machine visits the site, if a non-reservation waiting person is waiting in advance at the site to use the washing machine. , Priority is given to non-reservation waiters waiting at the site, and if the washing machine is not in use, the first reservation on the waiting list is guided to visit the laundromat, and if the washing machine is being used, the first reservation on the waiting list is reserved. It may be characterized in that the waiting person is informed of the remaining time for washing machine operation.

The method may further include a guide service step of sending a message for guiding an on-site visit of the unmanned laundromat to a first-order waiting list from the waiting list.

The message may be a text notification message or an on-site broadcast guide message.

It may be characterized in that it includes; a rank change step of changing the rank to a lower rank when the washing machine use information of the first-ranked waiting list is not input from the waiting list.

It may be characterized in that it includes; a list deletion step of deleting from the waiting list when the ranking is changed to a lower priority by a plurality of times.

According to the washing management system for sleeping goods of the present invention as described above, the following effects are obtained.

When the sleeping goods laundry management system is applied, the user using the unmanned laundromat can predict the estimated time of use of the washing machine and the time to visit the unmanned laundromat through reservation of waiting people, thereby reducing the waiting time waiting at the site for using the unmanned laundromat. can have the effect of

In addition, by collecting and analyzing the usage time information of people waiting for reservations received in the sleeping goods laundry management system, after identifying the days and times of the week with high frequency of use of unmanned launderettes, the days and times of the week when the number of people waiting is relatively small are provided to the user, The effect of increasing the convenience and efficiency of using unmanned launderettes can also be expected.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

1 is a diagram illustrating an illustrative implementation of a sleeping article laundry management system according to a preferred embodiment of the present invention.
2 is a diagram showing an exemplary implementation of a waiting list reservation list;
Figure 3 is a diagram showing an algorithm for performing the list fish step, announcement step and information service step.
4 is a diagram showing an algorithm for performing a ranking change step and a list deletion step;

Advantages and features of the present invention, and methods of achieving them, will become clear with reference to the detailed description of the following embodiments taken in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, only these embodiments are intended to complete the disclosure of the present invention, and are common in the art to which the present invention belongs. It is provided to fully inform the person skilled in the art of the scope of the invention, and the invention is only defined by the scope of the claims.

Terminology used herein is for describing the embodiments and is not intended to limit the present invention. In this specification, singular forms also include plural forms unless specifically stated otherwise in a phrase. As used herein, "comprises" and/or "comprising" does not exclude the presence or addition of one or more other elements other than the recited elements. Like reference numerals throughout the specification refer to like elements, and “and/or” includes each and every combination of one or more of the recited elements. Although "first", "second", etc. are used to describe various components, these components are not limited by these terms, of course. These terms are only used to distinguish one component from another. Accordingly, it goes without saying that the first element mentioned below may also be the second element within the technical spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled in the art to which the present invention belongs. In addition, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless explicitly specifically defined.

Sleep article laundry management system 1 according to a preferred embodiment of the present invention can be implemented as a program through a PC, application, or unmanned reservation machine 20.

In addition, in the sleeping goods laundry management system 1, a virtual standby number is given to use the washing machine, rather than reservation of usage time of the washing machine. Therefore, the priority of use of the washing machine installed in the unmanned laundromat may be the highest priority for those waiting at the unmanned laundromat site.

For example, when a non-reservation user who has not made a reservation for a waiting list visits an unmanned laundromat, all washing machines can be used and there is no waiting list at the site, even if there is a person on the waiting list 10. is that the washing machine can be used.

In addition, when all washing machines are in use and the first-ranked user of the waiting list (10) for the first washing machine (W1) visits the site, a non-reservation waiting list is on-site in advance for the use of the first washing machine (W1) If in the middle, priority is given to non-reserved waitlists waiting on site.

That is, even if the standby order of the waiting list 10 is the first priority, if the washing machine is not on standby before the use of the washing machine ends, the priority for using the washing machine is given to the waiting person waiting on site.

Therefore, the sleeping goods laundry management system 1 is only used for the standby order of using the washing machine, and cannot claim priority for the washing machine.

Hereinafter, a sleeping article laundry management system 1 according to a preferred embodiment of the present invention will be described with reference to the accompanying drawings.

1 is a diagram showing an exemplary implementation of a sleeping goods laundry management system according to a preferred embodiment of the present invention, FIG. 2 is a diagram showing an exemplary implementation of a waiting list reservation list, and FIG. 3 is a list creation step, announcement 4 is a diagram showing an algorithm for performing the ranking change step and the list deletion step.

As shown in FIGS. 1 to 4, the sleeping goods laundry management system 1 according to a preferred embodiment of the present invention collects information on people waiting for reservation for each washing machine and creates a waiting list 10 (list generation step) S1), and a public announcement step (S2) of time-sequentially publicizing the created waiting list reservation list 10 in order of reservation.

As shown in FIG. 1, in the sleeping goods laundry management system 1, before the list creation step (S1) of creating a reservation list of waiting persons is performed, a process of inputting a signal whether or not the washing machine is in use may be performed into the system. there is.

The signal of whether the washing machine is in use can be input by interlocking the washing machine with the system server of the unmanned laundromat system 1, and the operating signal of the washing machine by interlocking the CCTV installed in the laundromat with the system server of the sleeping goods laundry management system 1, e.g. For example, the ON/OFF state of the power button may be collected and input.

When the washing machine use/non-use signal is input to the system server, the use/non-use of the washing machine is notified through the homepage and application, and information of those on standby for reservation for each washing machine is collected. That is, in the sleeping goods laundry management system 1, an "information collection step" of collecting information of a person on standby may be performed before the list creation step (S1) of generating the reservation list 10. The "information collection step" can be realized by inputting the information of the waiting person into the system server (unmanned laundry system management server) using the waiting terminal (a concept including at least one of a smartphone, a PC, and an unmanned reservation machine described later). can

In this case, the information on the waitlist includes personal information including the waiter's gender, age, occupation, and location of residence, as well as the type of laundry (pillow, blanket, mat, etc.), weight, and degree of washing (high, medium, low level, etc.). It may include, but is not limited to, laundry information and history information including selected washing conditions used by the standby user as wash information having a high similarity in the past.

Meanwhile, in the sleep article laundry management system 1, the system server may analyze the information of the waiting person and the non-waiting person information to curate a list of laundry conditions to the waiting person. That is, in the unmanned launderette system 1, before the list generation step (S1) of generating the reservation list 10, a "curating step" may be performed in which a laundry condition list is transmitted from the system server to the waiting terminal and curated.

In this case, the non-waiting person information is the selection of other users who have entered the information of the waiting person with a high similarity to the waiting person (the high degree of similarity is determined based on the range of matching each category of personal information and each category of laundry information). washing conditions" and the like, but are not limited thereto.

In addition, each washing condition in the washing condition list includes the washing mode (normal washing mode, cold water washing mode, soak washing mode, etc.), detergent type, spin mode (normal spin, low speed spin, high speed spin), and washing time (long-term, mid-term). , short-term, etc.), but is not limited thereto.

In this case, the system server may generate a laundry condition list through various analysis methods. For example, by analyzing the history information of the information of the waiting person, the number of times the waiting person has used laundry information having a high similarity in the past is indexed, and the information other than the waiting person The number of uses by other users who entered the information of the person on the waiting list with a high similarity to the person on the waiting list is indexed, and the history information of the person on the waiting list is analyzed. If it is higher than the value obtained by indexing the number of times of use by other users who entered the information of the person on the waiting list with a high degree of similarity to the list, a laundry condition list can be created with priority given to the information of the person on the waiting list. If the value indexed by the number of uses of laundry information with high is lower than the value indexed by the number of times used by other users who entered the information of the person on the waiting list who has a high similarity to the person on the waiting list of information other than the person on the waiting list can create

Alternatively, the system server may generate a list of washing conditions using artificial intelligence.

Artificial intelligence (AI) is a field of computer engineering and information technology that realizes human learning ability, reasoning ability, perception ability, and natural language understanding ability through computer programs. In particular, supervised learning, which is used in the most fields of artificial intelligence, is a method of predicting future values using training data including correct answers (labels).

For reference, machine learning can be defined as a methodology that gives computers the ability to learn on their own without being explicitly programmed. Machine learning is divided into supervised learning and unsupervised learning depending on whether or not the correct answer is specified in the data required for learning, classification that divides data into finite categories according to the purpose of use, and continuous It is divided into regression methodology that maps to values, clustering method that groups similar data, and dimension reduction methodology that maps multidimensional data to a representative lower dimension.

Deep learning, one of the machine learning techniques, has dramatically improved the performance of machine learning, which has been stagnant for a while. , The deep learning structure is a deep neural network (DNN) in which multiple hidden layers exist between the input layer and the output layer, and a filter required for factor extraction in front of the hidden layer. It may include a Convolutional Neural Network (CNN) that learns filters together with , and a Recurrent Neural Network (RNN) capable of processing time-series data by stacking artificial neural networks of each time. Here, the high performance of the deep learning model is explained in two ways. First, the neural network is a universal approximator that can approximate all kinds of functions by overlapping the weighted sum of functions in each layer. If sufficiently general data is given, Data can be replicated with high accuracy. Second, in order to classify data well, it is important to properly extract factors representing the data, and optimal factors can be extracted through filter learning using a convolutional neural network. In addition, deep learning is a form in which a model in the field of artificial intelligence called a neural network has been developed, and a structure in which a hidden layer of an artificial neural network composed of a hierarchical structure is composed of several steps. Recent deep learning models have many internal layers, and the number of weights (meaning the strength of connection) connecting nodes can reach up to billions.

For example, the system server prioritizes the selected washing conditions derived by inputting the actual waiting list and non-waiting information using artificial intelligence that has learned the selected washing conditions as feature values using the information of those on the waiting list and the information on those other than those on the waiting list as label values. A list of washing conditions can be created with

Meanwhile, in the sleep article laundry management system 1, a waiting person can select a specific washing condition from a list of washing conditions curated by the system server. That is, in the sleeping goods laundry management system 1, before the list creation step (S1) of generating the reservation list 10, a "wash selection step" in which the standby terminal transmits the selected washing conditions to the system server may be performed.

Next, the sleeping goods laundry management system 1 generates a waiting list 10 based on the information of the waiting person collected through the waiting person terminal homepage, application, and/or the unmanned reservation machine 20 installed on the site. The list creation step (S1) is performed.

On the other hand, according to another embodiment of the present invention, as shown in FIG. 1, the sleeping goods laundry management system 1 uses a washing machine before the list creation step (S1) of creating a reservation list of waiting persons is performed. A process of inputting the presence/absence signal to the system may be performed.

The use/non-use signal of the washing machine can be input by interlocking with the system server of the washing machine and sleeping goods laundry management system (1), and the operation signal of the washing machine is interlocked with the system server of the CCTV installed in the launderette and the sleeping goods laundry management system (1). , For example, the on/off state of the power button may be collected and inputted.

When the washing machine use/non-use signal is input to the system server, the use/non-use of the washing machine is notified through the homepage and application, and information of those on standby for reservation for each washing machine is collected. That is, in the sleeping goods laundry management system 1, an "information collection step" of collecting information of a person on standby may be performed before the list creation step (S1) of generating the reservation list 10. The "information collection step" can be realized by inputting the information of the waiting person into the system server (unmanned laundry system management server) using the waiting terminal (a concept including at least one of a smartphone, a PC, and an unmanned reservation machine described later). can

In this case, the waiting list includes reservation information (waiting person's mobile phone number and name), personal information (waiting person's gender, age, occupation), laundry information (type of laundry, weight, detergent used, degree of washing), and laundry time information. can include Here, the degree of washing is divided into high, medium, and low levels, and the waiting person can select one of them.

On the other hand, the system server of the sleeping goods laundry management system 1 analyzes the laundry time information set by a plurality of users in the past with the same personal information and laundry information as the laundry time information set by the waiting person and the personal information and laundry information of the waiting person. So you can decide the washing time. That is, in the sleep article laundry management system 1, before the list creation step (S1) of generating the reservation list 10, a "washing time determination step" of determining a washing time in the system server may be performed.

In the sleeping goods laundry management system (1), the washing time information of the waiting list is reflected and the same conditions as those on the waiting list are provided, since the waiting time of the waiting list can be prolonged when the washing time of the waiting list is unconditionally accepted. Multiple users are trying to stabilize the operation by reflecting the laundry time set in the past. Meanwhile, in order to realize this, the sleeping goods laundry management system 1 may require a data acquisition period to obtain past information on a plurality of users.

In detail, 1) The system server determines the washing time information of the waiting person when the difference between the laundry time information of the waiting person and the average value of the laundry time information set in the past by a plurality of users whose personal information and the laundry information of the waiting person are the same is less than a specific time. You can set the washing time. Since the washing time of the waiting person is not significantly different from the average value of the washing times selected by a plurality of users having the same conditions, the washing time of the waiting person is accepted as it is.

Unlike this, 2) If the difference between the laundry time information of the waiting person and the average value of wash time information set in the past by a plurality of users who have the same personal information and laundry information of the waiting person is more than a specific time, the washing time is set under the following conditions. .

2-1) If the laundry time information of the waiting person is shorter than the average value of wash time information set by a plurality of users in the past, the washing time is set based on the laundry time information of the waiting person. This is because the laundry time desired by the waiting person meets the needs of the waiting person and is shorter than the washing time set by multiple users in the past, so there is no disruption to the operation of the unmanned laundromat.

2-2) If the laundry time information of the waiting person is longer than the average value of the wash time information set by a plurality of users in the past and the washing degree is above, the washing time is set based on the laundry time information of the waiting person. This is to take into account the fact that complaints may arise if the waiting person's desired washing time is longer than the washing time of multiple users, but the waiting person sets the washing level to "High" and the waiting person's desired washing time is not met.

2-3) If the laundry time information of the waiting person is longer than the average value of the laundry time information set by multiple users in the past and the degree of washing is in progress, the average value of the laundry time information of the waiting person and the washing time information set by the plurality of users in the past Set the washing time as the average value of Since the waiting person set the washing level to “Medium”, the average value of the laundry time of the waiting person and the washing time of a plurality of users is considered both the request of the waiting person and the smooth operation of the unmanned laundromat.

2-4) If the wash time information of the waiting person is longer than the average value of the wash time information set by multiple users in the past and the washing degree is lower, the wash time is set based on the average value of the wash time information set by the multiple users in the past. . Since the washing level was set to "low" by the waiting person, the dissatisfaction of the waiting person would not be great even if it was set to the average value of the washing time of a plurality of users, and furthermore, the smooth operation of the unmanned launderette was actively considered.

On the other hand, as shown in FIG. 2(a), the waiting list reservation list 10 is made by inputting the mobile phone number of the person waiting for reservation or the name of the person waiting for reservation as shown in FIG. 2(b). (10) can be generated.

In detail, the states of the first washing machine 11, the second washing machine 12, and the third washing machine 13 are announced through the homepage or application. At this time, when the information of the waiting person is input through the reservation request of the waiting person for each washing machine, identifiable information among the waiting person information is sequentially entered into the waiting list reservation list 10 .

The unmanned laundromat system 1 performs a public announcement step (S2) of notifying the waiting list reservation list 10 generated in the list creation step (S1) after performing the list creation step (S1).

The announcement step (S2) is performed by the system server transmitting the waiting list reservation list 10 generated in the list creation step (S1) to the homepage, application and/or unmanned reservation machine 20 of the waiting terminal.

The publicly announced waiting list reservation list 10 is announced time-sequentially in order of reservation. That is, the order of waiting for washing machines is determined in the order in which reservations are made.

When the waiting list 10 is announced through the public announcement step (S2), a guide service step (S3) of sending a message guiding the on-site visit to the unmanned launderette to the first-ranked waiting list in the waiting list 10 is performed. .

The information service step (S3) may be performed by sending a message from the system server to the waiting terminal or by broadcasting information through the unmanned reservation machine 20 installed in the unmanned laundry room. At the same time as zooming, it plays a role in inducing visits to the unmanned laundromat.

This is because the washing machine use time may be delayed by other users if the user does not wait at the site even if he or she ranks first in the waiting list 10 . Therefore, by sending a guide message to the waiting person, it reminds them of the visit to the unmanned launderette and at the same time informs the first waiting person waiting at the site that the usage time of the washing machine is approaching.

When the information service step (S3) is performed, a ranking change step (S4) is performed according to whether or not the first waiting person is using a washing machine.

The ranking change step (S4) may be performed by the system server changing the ranking to a lower ranking in the waiting list 10 when the washing machine usage information of the first waiting person is not input.

In this case, the washing machine usage information of the first-priority waiting person may be divided into 'on-site waiting' (B1) and 'washing machine use' (B2) and input.

In 'on-site standby' (B1), information about visiting and waiting at the unmanned laundromat by the first waiting person is input, and 'washing machine usage' (B2) is input with washing machine usage information of the first waiting person.

When a signal of 'on-site waiting' (B1) or 'use washing machine' (B2) is input, a list deletion step (S5) to be described later is performed, and the information of the waiting person is deleted from the waiting list (10).

In the ranking change step (S4), if the washing machine usage information of the first-ranking waiter is not input within a certain period of time, for example, 5 to 10 minutes after the information service step (S3) is performed, the ranking of the first-ranking waiter is changed to a lower priority. It is a step to However, it may be set to a time other than 5 to 10 minutes.

In detail, if the ranking change step (S4) is not applied, even though the first waiting list uses a washing machine, the waiting list 10 does not change the waiting list unless the first ranking usage information is input. this will happen

Therefore, after a certain period of time, even if the input of the usage information of the first-ranking waiter is not performed, the ranking of the first-ranking waiter is changed to a lower priority.

In the case where the ranking of the first waiting list is changed to the second ranking several times, a list deletion step (S5) of deleting from the waiting list reservation list 10 is performed.

That is, when the ranking change step (S4) is made a plurality of times, the list deletion step (S5) is performed.

In the ranking change step (S4), when the ranking of the first-ranking waiter is changed to a later rank a plurality of times, it is determined that the first-ranking waiter did not input the use of the washing machine, and the information of the first-ranking waiting list is deleted from the waiting list 10 .

Through the ranking change step (S4) and the list deletion step (S5), the ranks of the waiting list 10 are arranged so that people waiting for reservation can use the unmanned laundromat smoothly, and confusion in using the unmanned laundromat can be prevented.

Meanwhile, when the washing machine installed in the unmanned laundromat is connected systematically with the sleeping goods laundry management system 1, it is possible to obtain information on whether the washing machine is used or not, as well as information about the operation of the washing machine, such as the remaining working time of the washing machine.

In this case, the sleeping goods laundry management system (1) not only induces the person on the waiting list (10) to visit the site through the guide service step (S3), but also provides washing machine operation information such as the remaining time of the washing machine. By providing, the person waiting for the first priority reservation can predict the usage time of the washing machine.

That is, in the information service step (S3), information such as whether or not the washing machine is used and/or the remaining time for washing machine operation is provided to the person waiting for the first reservation, and the remaining time for the washing machine operation is based on the selected laundry information selected by the previous person on standby (current user). can be obtained through

At this time, if the washing machine is not being used, the sleeping goods laundry management system 1 guides the person waiting for the first reservation to visit the launderette, and if the washing machine is being used, the laundry management system 1 for sleeping goods By informing the remaining work time, the first priority reservation waiter can predict the washing machine usage time.

If the washing machine is in use, the information of the person on the waiting list for first priority reservation is maintained as the first priority during the working time of the washing machine, and is maintained as the first priority in the waiting list (1) for an additional 5 to 10 minutes. Conversely, if the washing machine is not being used, the information of the person waiting for the first reservation is maintained as the first priority of the waiting list (1) for 5 to 10 minutes.

Here, the first priority maintenance time of the waiting list (1) may be set to a time other than 5 to 10 minutes.

Therefore, if the input signal of 'waiting on site' (B1) or 'use washing machine' (B2) is not input through the sleeping goods laundry management system 1 within the set time, the ranking change step (S4) is performed, and the first priority The reservation waiting list is changed to a lower priority in the waiting list reservation list (1).

In addition, when the ranking change step (S4) is performed a plurality of times, the list deletion step (S5) is performed so that the information of the first priority waiting list is deleted from the waiting list (10).

In this way, when the sleeping goods laundry management system 1 is applied, the user using the unmanned laundromat can predict the expected use time of the washing machine and the visit time to the unmanned laundromat through a waiting list, so that on-site This can have the effect of reducing waiting time.

In addition, after collecting and analyzing the usage time information of those waiting for reservations received by the unmanned launderette system 1 to identify the day and time zone with high frequency of use of the unmanned launderette, the day and time zone with a relatively small number of waiting persons is provided to the user. In addition, the effect of increasing the convenience and efficiency of using unmanned launderettes can also be expected.

Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art to which the present invention pertains can be implemented in other specific forms without changing the technical spirit or essential features of the present invention. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

Claims (5)

a list creation step in which the system server creates a waiting list reservation list with information on the waiting list reserved for each washing machine;
A public announcement step of time-sequentially notifying the system server of the created waiting list reservation list to the waiting terminal in order of reservation; and
A guide service step of sending, by the system server, a message guiding a site visit of an unmanned laundromat to a person waiting for a first reservation in a waiting list for a reservation to the waiting terminal,
The message is a text notification message or a field broadcasting guide message,
The waiting list information includes reservation information including the waiting person's mobile phone number and name, personal information including the waiting person's gender, age, and occupation, type and weight of laundry, detergent used, and level of washing divided into high, medium, and low. including washing information and washing time information,
The system server determines the laundry time by analyzing wash time information set by a plurality of users in the past with the same personal information and laundry information as the laundry time information set by the waiting person and the personal information and laundry information of the waiting person;
The system server,
If the difference between the laundry time information of the waiting person and the average value of wash time information set in the past by a plurality of users having the same personal information and laundry information of the waiting person is less than a specific time, the washing time is set based on the laundry time information of the waiting person;
If the difference between the laundry time information of the waiting person and the average value of wash time information set in the past by a plurality of users with the same personal information and laundry information of the waiting person is more than a specific time, If the wash time information of the waiting person is shorter than the average value of the wash time information, the laundry time information of the waiting person is set. The wash time is set as the time information, and if the wash time information of the waiting person is longer than the average value of the wash time information previously set by a plurality of users and the washing degree is in progress, the laundry time information of the waiting person and the washing time information of the plurality of users previously set. The wash time is set as the average value of the average value of the wash time information, and when the wash time information of the waiting person is longer than the average value of the wash time information set in the past by a plurality of users and the washing degree is lower, the wash time information set by the plurality of users in the past Set the washing time as the average value of time information,
Even if the waiting order on the waiting list is the first priority, if the washing machine is not on standby before the use of the washing machine ends, the priority to use the washing machine is given to the waiting person on standby at the site,
When the first-ranked user of the waiting list reservation list of the washing machine visits the site, if a non-reservation waiting person is on standby at the site in advance to use the washing machine, priority is given to the non-reservation waiting person waiting at the site,
If the washing machine is not in use, guides the person on the waiting list for the first reservation to visit the laundromat, and if the washing machine is in use, guides the person on the waiting list for the first reservation on the waiting list for the remaining time for the washing machine. Laundry management system. delete delete delete delete

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