KR102559969B1 - Method, device and system for providing user location-based toilet use and payment service - Google Patents

Abstract

An apparatus according to an embodiment collects toilet information including a toilet location and toilet options from a toilet manager's terminal, matches the toilet location included in the toilet information to a map database, receives a request for providing information on a nearby toilet from a user terminal, obtains a user's location from the user terminal, obtains a nearby toilet that is a toilet included within a first distance from the user's location based on the user's location and the map database, provides information on a nearby toilet to the user's terminal, and provides information on a nearby toilet from the user's terminal. If any one of the first toilets is selected, the basic cost corresponding to the first toilet and information on the first toilet are provided to the user's terminal, and when a request to use the first toilet is received from the user's terminal, it is determined whether the distance between the user's terminal and the first toilet is within a second distance, and if the distance between the user's terminal and the first toilet is within a second distance, the first toilet is automatically controlled to open, and when it is confirmed that the user's terminal is located in the first toilet, the first toilet is automatically locked; The time the terminal is located in the first bathroom measures the bathroom visit time, generates the final payment cost based on the basic cost corresponding to the first bathroom and the bathroom visit time, and manages the final payment cost from the user's terminal to be paid.

Description

Method, device and system for providing user location-based toilet use and payment service

The embodiments below relate to a technology for providing a toilet use and payment service based on a user's location.

In general, public toilets are facilities used by a large number of users, and are facilities that provide convenience to people, but are inconvenient due to poor management.

Since public toilets are always open, not only do many and unspecified people randomly enter and exit, but also throw away various garbage because of the recognition that they are free, and there are many inconveniences and difficulties in management because they are used messily. .

As a result, unlike general public toilets, pay toilets, which are toilets that can be used for a fee, have appeared. Paid toilets can provide a clean environment with thorough maintenance, toilet supplies and toilet paper are always provided so that users can use them conveniently, there is a manager who manages the paid toilets, and CCTVs can be installed to provide a safe environment.

Therefore, research on technology for providing toilet information based on a user's location and providing a payment service when using the toilet is required so that users can use the pay toilet more conveniently and cleanly.

Korean Patent Publication No. 10-2021-7036323 (published on July 13, 2022) Korean Patent Registration No. 10-1868508 (2018.06.19. Notice) Korean Patent Registration No. 10-2171916 (2020.11.13. Notice) Korean Patent Registration No. 10-1748299 (2017.06.19. Notice)

Embodiments seek to provide toilet use and payment services based on a user's location.

Embodiments attempt to select a basic cost of a toilet based on information about the toilet.

Embodiments are intended to provide a toilet manager with a report including information about toilets owned by the toilet manager.

The object of the present invention is not limited to the object mentioned above, and other objects not mentioned will be clearly understood from the description below.

According to one embodiment, a user location-based toilet use and payment service providing method includes collecting toilet information including a toilet location and toilet options from a toilet manager terminal; Matching the location of the toilet included in the toilet information to a map database; Receiving a request for providing information on a nearby toilet from a user's terminal, and acquiring the user's location from the user's terminal; obtaining a nearby toilet, which is a toilet included within a preset first distance from the user's location, based on the user's location and the map database; providing information on the nearby toilet to the user's terminal; providing a basic cost corresponding to the first toilet and information on the first toilet to the user's terminal when a first toilet, which is one of the nearby toilets, is selected from the user's terminal; When receiving a request to use the first toilet from the user terminal, determining whether a distance between the user terminal and the first toilet is within a preset second distance, and controlling the first toilet to be automatically opened when the distance between the user terminal and the first toilet is within the second distance; If it is confirmed that the user's terminal is located in the first toilet, controlling the first toilet to be automatically locked, and measuring a toilet visit time, which is a time when the user's terminal is located in the first toilet; and generating a final payment cost based on the basic cost corresponding to the first bathroom and the bathroom visit time, and managing the final payment cost to be paid from the user's terminal.

The step of providing a basic cost corresponding to the first toilet and information on the first toilet to the user's terminal; further comprising selecting a basic cost corresponding to the first toilet, and selecting a basic cost corresponding to the first toilet, checking a management cycle of the first toilet and generating a first score according to the management cycle, checking options included in the first toilet, and generating a second score according to the number of included options, based on the information on the first toilet, Checking the size of the first toilet and the number of compartments in the first toilet, and generating a third score based on the size of the first toilet and the number of compartments in the first toilet, determining the number of users using the first toilet and generating a fourth score based on the number of users using the first toilet, acquiring satisfaction with the first toilet from a terminal of a user who used the first toilet, and generating a fifth score based on the satisfaction with the first toilet, through the location of the first toilet Determining whether the first toilet is located in a busy street and generating a sixth score, determining the soundproofing level of the first toilet and generating a seventh score based on the soundproofing level of the first toilet, generating a final score of the first toilet as a sum of the first score, the second score, the third score, the fourth score, the fifth score, the sixth score, and the seventh score, and the final score of the first toilet in proportion to the first score. and selecting a basic cost corresponding to the toilet.

Determining whether the first toilet is located in the downtown area through the location of the first toilet includes generating a population score based on the population density of an area including the location of the first toilet, obtaining the number of public transportation passing through a first threshold range based on the location of the first toilet, generating a traffic score based on the number of public transportation, obtaining the number of stores included in a second threshold range based on the location of the first toilet, and Generating a store score based on the number, and determining that the first toilet is located in a downtown area when it is determined that the sum of the population score, the traffic score, and the store score is greater than a preset target value.

The method of providing a user location-based toilet use and payment service further includes providing a settlement and report to the toilet manager, wherein the providing of the report to the toilet manager includes: checking the usage ratio of the female toilet and the male toilet owned by the toilet manager, checking a difference between the usage ratio of the female toilet and the male toilet, generating toilet rebalancing information recommending that toilets with high usage ratio be increased based on the difference being greater than a preset threshold, and toilets owned by the toilet manager. Checking the visit time of the user, generating the distribution of visit times, and generating the main visit time zone of the bathroom based on the visit time distribution degree, generating toilet management information for inducing toilet management before reaching the main visit time zone of the toilet, checking the age range of users who used the toilet owned by the toilet manager, generating the age distribution degree, and generating the main visit age of the bathroom based on the age distribution degree, obtaining the interior trend of the main visit age of the bathroom based on the main visit age of the bathroom and generating bathroom remodeling information including interior trends of the main visit age, and generating a report including the bathroom rebalancing information, the bathroom management information, and the bathroom remodeling information, and providing the report to the bathroom manager.

The user location-based toilet use and payment service providing method further includes: capturing a first thermal image of the bathroom through a thermal imaging camera installed in the bathroom, and determining whether there is a risk of fire in the area based on the first thermal image, wherein the step of determining whether there is a risk of fire includes: extracting a first image from a first time point of the first thermal image; extracting a second image from a second time point after a predetermined time has elapsed from the first time point of the first thermal image; Generating a color spectrum from the second image from the lowest temperature to the highest temperature appearing in the second image, classifying colors from the lowest temperature to the highest temperature appearing in the second image into at least five grades based on the color spectrum, converting the first colors appearing in the first image and the second image into second colors according to each grade based on the grades, counting the number of first pixels in which the second colors appear in the first image for each second color, the second colors Counting the number of second pixels appearing in the second image for each second color, counting the number of third pixels, which is the total number of pixels of the first image, calculating [number of first pixels / number of third pixels = first ratio] and [number of second pixels / number of third pixels = second ratio] for each second color, extracting at least one check group that is a combination of second colors that differ by at least four grades among the second colors, step of extracting at least one check group, for each check group, [relatively low rank among check groups Calculating [(first rate - second rate) / first rate = first change rate] of [(first rate - second rate) / first rate = first change rate] of [(first rate - second rate) / first rate = first change rate] of [(second rate - first rate) / first rate = second change rate] of [fourth color, which is a second color with a relatively higher rank among the check groups] for each check group, calculating [(second change rate - first change rate) * grade difference between second colors = first increase index] for each check group Returning the first incremental factor to a second incremental factor when the inspection group is one, returning the average value of the first incremental factors of the inspection groups as a second incremental factor when the inspection group is two or more, and determining that there is a risk of fire if the second incremental factor is equal to or greater than a predetermined value.

Embodiments may provide toilet use and payment services based on user location.

Embodiments may select a basic cost of a toilet based on information about the toilet.

Embodiments may provide a toilet manager with a report including information about toilets owned by the toilet manager.

On the other hand, the effects according to the embodiments are not limited to those 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 schematically showing the configuration of a system according to an embodiment.
2 is a flowchart illustrating a process of providing a toilet use and payment service based on a user's location according to an embodiment.
3 is a flowchart for selecting a basic cost corresponding to a first bathroom according to an embodiment.
4 is a flowchart illustrating a process of determining whether a toilet is located on a busy street according to an exemplary embodiment.
5 is a flowchart illustrating a process of providing a report to a bathroom manager according to an embodiment.
6 is a flowchart illustrating a process of determining whether there is a risk of fire based on a thermal imaging camera according to an exemplary embodiment.
7 is a diagram of spectral bars according to one embodiment.
8 is an exemplary diagram of a configuration of a device according to an embodiment.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, since various changes can be made to the embodiments, the scope of the patent application is not limited or limited by these embodiments. It should be understood that all changes, equivalents or substitutes to the embodiments are included within the scope of rights.

Specific structural or functional descriptions of the embodiments are disclosed for illustrative purposes only, and may be modified and implemented in various forms. Therefore, the embodiments are not limited to the specific disclosed form, and the scope of the present specification includes changes, equivalents, or substitutes included in the technical spirit.

Although terms such as first or second may be used to describe various components, such terms should only be construed for the purpose of distinguishing one component from another. For example, a first element may be termed a second element, and similarly, a second element may be termed a first element.

It should be understood that when an element is referred to as being “connected” to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle.

Terms used in the examples are used only for descriptive purposes and should not be construed as limiting. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, terms such as "comprise" or "having" are intended to specify that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but it should be understood that the presence or addition of one or more other features or numbers, steps, operations, components, parts, or combinations thereof is not excluded in advance.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the art to which the embodiment belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and are not interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application.

In addition, in the description with reference to the accompanying drawings, the same reference numerals are given to the same components regardless of reference numerals, and overlapping descriptions thereof will be omitted. In describing the embodiment, if it is determined that a detailed description of a related known technology may unnecessarily obscure the gist of the embodiment, the detailed description will be omitted.

The embodiments may be implemented in various types of products such as personal computers, laptop computers, tablet computers, smart phones, televisions, smart home appliances, intelligent vehicles, kiosks, and wearable devices.

1 is a diagram schematically showing the configuration of a system according to an embodiment.

Referring to FIG. 1 , a system according to an embodiment may include a toilet manager terminal 110, a user terminal 120, and a device 200 capable of communicating with each other through a communication network.

First, a communication network may be configured regardless of its communication mode, such as wired or wireless, and may be implemented in various forms so that communication between servers and communication between servers and terminals is performed.

The terminal 110 of the toilet manager is a terminal used by a toilet manager who has a toilet and wants to provide the toilet to the user for a fee, and may be implemented as a mobile phone, desktop PC, laptop PC, tablet PC, smartphone, etc., but is not limited thereto, and may be implemented as various types of communication devices that can be connected to external servers. For example, as shown in FIG. 1 , the toilet manager's terminal 110 may be a smart phone, and may be employed differently depending on the embodiment.

The user's terminal 120 is a terminal used by a user who wants to use a pay toilet, and may be implemented as a mobile phone, desktop PC, laptop PC, tablet PC, smart phone, etc., but is not limited thereto, and may be implemented as various types of communication devices that can be connected to an external server. For example, as shown in FIG. 1 , the user's terminal 120 may be a smart phone, and may be employed differently depending on embodiments.

The toilet manager's terminal 110 and the user's terminal 120 may be configured to perform all or part of an arithmetic function, a storage/reference function, an input/output function, and a control function of a typical computer. The toilet manager's terminal 110 and the user's terminal 120 may be configured to communicate with the device 200 by wire or wireless.

The toilet manager's terminal 110 and the user's terminal 120 are connected to a website operated by a service provider or organization using the device 200, or a service provider using the device 200. Applications developed and distributed by organizations may be installed. The toilet manager's terminal 110 and the user's terminal 120 may interwork with the device 200 through a website or application.

In FIG. 1 and the following description, for convenience of description, only one terminal 110 of a toilet manager and one terminal 120 of a user are illustrated and described, but the number of terminals may vary according to embodiments. As long as the processing capacity of the device 200 allows, the number of terminals is not particularly limited.

The device 200 may be a server owned by a person or organization that provides services using the device 200, may be a cloud server, or may be a peer-to-peer (p2p) set of distributed nodes. The device 200 may be configured to perform all or some of the arithmetic function, storage/reference function, input/output function, and control function of a normal computer. The device 200 may be configured to communicate with the toilet manager's terminal 110 and the user's terminal 120 through wired or wireless communication.

In addition, the device 200 may communicate with a website including an SNS by wire or wirelessly, and obtain information by accessing the website.

The apparatus 200 collects toilet information including the location of the toilet and toilet options from the terminal 110 of the toilet manager, matches the location of the toilet included in the toilet information to a map database, receives a request for providing information on a nearby toilet from the user terminal 120, obtains the user's location from the user terminal 120, and obtains a nearby toilet that is a toilet included within a first distance from the user's location based on the user's location and the map database, and the user's terminal 120 ), provides information on nearby toilets, and when a first toilet, which is one of the nearby toilets, is selected from the user's terminal 120, basic cost corresponding to the first toilet and information on the first toilet are provided to the user's terminal 120, When a request to use the first toilet is received from the user's terminal 120, it is determined whether the distance between the user's terminal 120 and the first toilet is within a second distance, and if the distance between the user terminal and the first toilet is within a second distance, The first toilet may be controlled to automatically open, and when it is confirmed that the user's terminal 120 is located in the first toilet, the first toilet may be controlled to be automatically locked, and the time the user's terminal 120 is located in the first toilet may measure the bathroom visit time, generate a final payment cost based on the basic cost corresponding to the first bathroom and the bathroom visit time, and manage the final payment cost to be paid from the user's terminal 120.

In the present invention, artificial intelligence (AI) means a technology that imitates human learning ability, reasoning ability, perception ability, etc., and implements it with a computer, and includes concepts such as machine learning and symbolic logic. Machine learning (ML) is an algorithm technology that classifies or learns the characteristics of input data by itself. Artificial intelligence technology is a machine learning algorithm that analyzes input data, learns the result of the analysis, and can make judgments or predictions based on the result of the learning. In addition, technologies that mimic the functions of the human brain, such as recognition and judgment, using machine learning algorithms, can also be understood as artificial intelligence. For example, technical fields such as linguistic understanding, visual understanding, inference/prediction, knowledge expression, and motion control may be included.

Machine learning may refer to processing that trains a neural network model using experience of processing data. Through machine learning, computer software could mean improving its own data processing capabilities. A neural network model is constructed by modeling a correlation between data, and the correlation may be expressed by a plurality of parameters. The neural network model derives a correlation between data by extracting and analyzing features from given data, and optimizing the parameters of the neural network model by repeating this process can be referred to as machine learning. For example, a neural network model may learn a mapping (correlation) between an input and an output with respect to data given as an input/output pair. Alternatively, even when only input data is given, the neural network model may learn the relationship by deriving a regularity between given data.

An artificial intelligence learning model or a neural network model may be designed to implement a human brain structure on a computer, and may include a plurality of network nodes having weights while simulating neurons of a human neural network. A plurality of network nodes may have a connection relationship between them by simulating synaptic activities of neurons that transmit and receive signals through synapses. In the artificial intelligence learning model, a plurality of network nodes can send and receive data according to a convolutional connection relationship while being located in layers of different depths. The artificial intelligence learning model may be, for example, an artificial neural network model, a convolutional neural network model (CNN), and the like. As an embodiment, the artificial intelligence learning model may be machine-learned according to methods such as supervised learning, unsupervised learning, and reinforcement learning. Machine learning algorithms for performing machine learning include decision trees, Bayesian networks, support vector machines, artificial neural networks, Ada-boost, Perceptron, genetic programming, clustering, and the like.

Of these, CNNs are a type of multilayer perceptrons designed to use minimal preprocessing. A CNN consists of one or several convolution layers and general artificial neural network layers on top, and additionally utilizes weights and pooling layers. Thanks to this structure, CNN can fully utilize the input data with a two-dimensional structure. Compared to other deep learning structures, CNN shows good performance in both video and audio fields. CNNs can also be trained via standard back-propagation. CNNs are easier to train than other feedforward artificial neural network techniques and have the advantage of using fewer parameters.

Convolutional networks are neural networks that contain sets of nodes with bound parameters. The increasing size of available training data and the availability of computational power, combined with algorithmic advances such as piecewise linear unit and dropout training, have greatly improved many computer vision tasks. With huge data sets, such as those available for many tasks today, overfitting is not critical, and increasing the size of the network improves test accuracy. Optimal use of computing resources becomes a limiting factor. To this end, a distributed, scalable implementation of deep neural networks can be used.

2 is a flowchart illustrating a process of providing a toilet use and payment service based on a user's location according to an embodiment.

Referring to FIG. 2 , first, in step S201 , the device 200 may collect toilet information including a toilet location and toilet options from the toilet manager's terminal 110 . Here, the toilet information includes a toilet location and toilet options, and may further include a toilet management cycle, a toilet size, the number of toilet compartments, and a soundproofing level of the toilet.

In detail, the device 200 may collect toilet information including toilet location and toilet options to be provided to the user for a fee from the terminal 110 of the toilet manager.

In step S202, the device 200 may match the location of the toilet included in the toilet information to a map database. Here, the device 200 may include a map database, and the device 200 may check the location of the toilet where the toilet is located by matching it with a map through the map database, store the information of the toilet together with the location of the toilet in the map database, compare the location of the user with the location of the bathroom stored in the map database to identify a toilet within a first distance from the user's location, and provide information about the identified toilet to the user.

Specifically, the device 200 may have a map database, and correspond to the location of the bathroom in the map database provided based on the location of the bathroom included in the information about the bathroom obtained from the terminal 110 of the bathroom manager. The information of the bathroom can be matched and stored.

In step S203 , the device 200 may receive a request for providing information on a nearby toilet from the user's terminal 120 and obtain the user's location from the user's terminal 120 .

Specifically, the device 200 may receive a request from the user's terminal 120 to provide information on a nearby toilet near the user, and when a request for providing information on a nearby toilet is received from the user's terminal 120, the user's location, which is information about where the user is currently located, may be obtained from the user's terminal 120.

In step S204, the device 200 may obtain a nearby toilet, which is a toilet included within a first distance from the user's location, based on the user's location and the map database. Here, the first distance is a preset distance and may vary according to embodiments.

Specifically, when a request for providing information on a nearby toilet is received from the user's terminal 120, the device 200 may obtain the user's location from the user's terminal 120, compare the user's location with the location of the toilet stored in the map database, and identify a nearby toilet within a first distance from the user's location.

In step S205, the device 200 may provide information on nearby toilets to the user's terminal 120.

Specifically, when the device 200 acquires a nearby toilet that is included within a first distance from the user's location through the user's location and map database, the device 200 may provide information on the nearby toilet to the user's terminal 120 .

In step S206, when a first toilet, which is one of nearby toilets, is selected from the user's terminal 120, the device 200 provides the user's terminal 120 with a basic cost corresponding to the first toilet and information on the first toilet.

Specifically, the device 200 may provide information on nearby toilets to the user's terminal 120, and the user's terminal 120 may select a first toilet, which is one of the nearby toilets. When one of the nearby toilets is selected through the user's terminal 120, the device 200 may receive information that the first toilet is selected from the user's terminal 120, and upon receiving information that the first toilet is selected from the user's terminal 120, the device 200 may provide the user's terminal 120 with basic cost corresponding to the first toilet and information on the first toilet. Here, the basic cost corresponding to the first toilet may be selected through information on the first toilet, and a process of selecting the basic cost corresponding to the first toilet will be referred to FIG. 3 .

In step S207, when receiving a request to use the first toilet from the user's terminal 120, the device 200 determines whether the distance between the user's terminal 120 and the first toilet is within a second distance, and if the distance between the user's terminal 120 and the first toilet is within the second distance, the first toilet may be automatically opened. Here, the second distance is a preset distance shorter than the first distance, and may vary according to embodiments.

Specifically, the device 200 provides basic cost corresponding to the first toilet and information on the first toilet to the user's terminal 120, and when a request to use the first toilet is received from the user's terminal 120, the device 200 may determine whether the distance between the user's terminal 120 and the first toilet is within a second distance, and if it is determined that the distance between the user terminal 120 and the first toilet is within a second distance, the first toilet may be automatically opened. At this time, the first toilet may be provided with a toilet device, the toilet device may communicate with the device 200 by wire or wireless, the toilet device may be controlled through the device 200, and the device 200 The first bathroom door may be automatically opened by control.

That is, the device 200 may determine whether or not the distance between the user terminal 120 and the first toilet is within the second distance based on the position of the toilet device provided in the first toilet and the user's location acquired from the user terminal 120. When the distance between the user terminal 120 and the first toilet is determined to be within the second distance, the device 200 may control the toilet device to automatically open the first toilet.

In addition, when the apparatus 200 determines that the distance between the user's terminal 120 and the first toilet is not within the second distance, the device 200 may prevent the first toilet from being opened by not controlling the toilet device.

In step S208, when it is confirmed that the user's terminal 120 is located in the first toilet, the device 200 controls the first toilet to be automatically locked, and measures the toilet visit time, which is the time the user's terminal 120 is located in the first toilet.

Specifically, the device 200 may check whether the user terminal 120 is located in the first toilet through the user terminal 120 and a toilet device provided in the first toilet, and if it is confirmed that the user terminal 120 is located in the first toilet, it is possible to measure the toilet visit time, which is the time the user terminal 120 is located in the first toilet. At this time, the device 200 may check the distance between the user terminal 120 and the toilet device to determine whether the user terminal 120 is located in the first toilet through the user terminal 120 and the toilet device provided in the first toilet. When the distance between the user terminal 120 and the toilet device is determined to be within a third distance shorter than the second distance, it may be determined that the user terminal 120 is located in the first toilet.

In step S209, the device 200 may generate a final payment cost based on the basic cost corresponding to the first toilet and the toilet visit time, and manage the final payment cost to be paid from the user's terminal 120.

Specifically, the device 200 may select an additional cost based on the bathroom visit time, which is the time the user's terminal 120 is located in the first bathroom, and may generate the final payment cost as the sum of the additional cost and the basic cost corresponding to the first bathroom. In this case, the additional cost may be selected in proportion to the toilet visit time and may vary depending on the embodiment.

In addition, when the final payment cost is generated, the device 200 may manage to pay the final payment cost from the user's terminal 120 . At this time, the device 200 may receive the completion of use when the use of the first toilet is completed from the user's terminal 120, and when the completion of use is received, at least one payment method to the user's terminal 120 It may provide a payment interface including. In addition, the device 200 may receive a payment method selected by the user through a payment interface provided to the user's terminal 120, and manage the final payment cost to be paid through the corresponding payment method. In addition, the device 200 may communicate with the payment tag provided in the first bathroom by wire or wirelessly, and manage the final payment cost to be paid when the user's terminal 120 and the payment tag are within a preset target distance. Meanwhile, the process of managing the payment of the final payment cost from the user's terminal 120 is not limited thereto and may vary depending on the embodiment.

As a result, the device 200 can provide a pay toilet close to the user's location based on the user's location, and can provide a payment service when the user uses the pay toilet.

3 is a flowchart for selecting a basic cost corresponding to a first bathroom according to an embodiment.

Referring to FIG. 3 , first, in step S301, the device 200 may check the management cycle of the first toilet and generate a first score according to the management cycle.

Specifically, the apparatus 200 may obtain a management cycle of the first bathroom from the toilet manager terminal 110 and generate a first score based on the acquired management cycle of the first bathroom. In this case, the management period of the first toilet may be included in information about the first toilet obtained from the terminal 110 of the toilet manager.

That is, the apparatus 200 can check whether the bathroom is frequently cleaned and whether bathroom fixtures are always provided through the management cycle of the first bathroom, and the shorter the management cycle of the first bathroom is, the higher the first score can be generated, and the longer the management cycle of the first bathroom is, the smaller the first score can be generated.

In addition, the apparatus 200 may assign the highest score of the first score as the first score when the management cycle of the first toilet is shorter than the preset reference cycle, and the management cycle of the first bathroom is set in advance. If not shorter than the reference cycle, the first score may be generated in inverse proportion to the management cycle of the first toilet.

In step S302, the device 200 may check the options included in the first toilet and generate a second score according to the number of included options. Here, the options of the first toilet are options included in the first toilet, and may include a bidet, a diaper changing table, a baby potty, and a vending machine. In this case, the option of the first toilet may be included in information on the first toilet obtained from the terminal 110 of the toilet manager.

Specifically, the device 200 may obtain options included in the first toilet from the terminal 110 of the toilet manager, and based on the number of options included in the acquired first toilet, a second score may be generated.

That is, based on the number of options included in the first toilet, the apparatus 200 may generate a larger second score as the number of options included in the first toilet increases, and may generate a smaller second score as the number of options included in the first toilet decreases.

In addition, when the number of options included in the first toilet is greater than the preset reference number, the apparatus 200 may assign the highest score of the second score as the second score, and if the number of options included in the first toilet is not greater than the preset reference number, the second score may be generated in proportion to the number of options included in the first toilet.

In step S303, the device 200 determines the size of the first toilet and the number of compartments of the first toilet based on the information of the first toilet, and generates a third score based on the size of the first toilet and the number of compartments of the first toilet.

Specifically, the apparatus 200 may obtain the size of the first toilet and the number of compartments of the first toilet from the terminal 110 of the toilet manager, and based on the obtained size of the first toilet and the number of compartments of the first toilet, a third score may be generated. In this case, the size of the first toilet and the number of compartments of the first toilet may be included in the first toilet information obtained from the terminal 110 of the toilet manager.

That is, the apparatus 200 may generate a higher third score as the size of the first toilet increases and the number of compartments of the first toilet increases, and a smaller third score may be generated as the size of the first toilet decreases and the number of compartments of the first toilet decreases.

In addition, when the size of the first toilet is larger than the preset reference size and the number of compartments of the first toilet is greater than the preset reference number, the highest score of the third points may be assigned as the third score, when the size of the first toilet is not larger than the preset reference size, the third score may be generated in proportion to the size of the first toilet, and when the number of compartments of the first toilet is not greater than the preset reference number, the third score may be generated in proportion to the number of compartments of the first toilet.

In step S304, the apparatus 200 may check the number of users who use the first toilet and generate a fourth score based on the number of users who use the first toilet.

Specifically, the device 200 may check the number of users who used the first bathroom during a preset reference period, and generate a fourth score based on the number of users who used the first bathroom during the reference period. In this case, when it is confirmed that the user visits the first toilet and pays the final payment, the device 200 generates the user's details including the gender of the user, the age of the user, and the date and time when the user visited the first toilet, and matches and stores the details of the first toilet and the user in a database included in the device 200.

That is, based on the number of users who used the first bathroom during the reference period, the apparatus 200 may generate a higher fourth score as the number of users using the first bathroom increases, and a smaller fourth score as the number of users using the first bathroom decreases.

In addition, the apparatus 200 may assign the highest score of the fourth score as the fourth score when the number of users using the first toilet is greater than the preset reference number, and when the number of users using the first toilet is not greater than the preset reference number, the fourth score may be generated in proportion to the number of users using the first toilet.

In step S305 , the device 200 may acquire satisfaction with the first bathroom from the terminal 120 of the user using the first bathroom, and generate a fifth score based on the satisfaction with the first bathroom.

Specifically, when it is confirmed that the user visits the first toilet and pays the final payment, the device 200 may obtain satisfaction with the first toilet from the terminal 120 of the user using the first toilet, and match the generated user's details, including the satisfaction with the first toilet obtained from the terminal 120 of the user using the first toilet, to the first toilet and store them in a database. Here, satisfaction may be divided into grades from 1 to 5, and the closer to 1, the lower the satisfaction, and the closer to 5, the higher the satisfaction. In addition, the apparatus 200 may generate an average satisfaction with the first toilet based on the satisfaction with the first toilet obtained from the terminal 120 of the user using the first toilet, and may generate a fifth score through the average satisfaction with the first toilet.

That is, based on the average satisfaction score for the first bathroom, the device 200 may generate a larger fifth score as the average satisfaction score for the first bathroom is closer to 5, that is, as the average satisfaction score for the first bathroom is larger, and may generate a smaller fifth score as the average satisfaction score for the first bathroom is closer to 1, that is, as the average satisfaction score for the first bathroom is smaller.

In addition, the apparatus 200 may assign the highest score of the fifth scores as the fifth score when the average satisfaction score for the first toilet is greater than the preset reference score, and if the average satisfaction score for the first toilet is not greater than the preset reference score, the fifth score may be generated in proportion to the average satisfaction score for the first toilet.

In step S306, the apparatus 200 may determine whether the first toilet is located in the downtown area through the location of the first toilet, and generate a sixth score.

Specifically, the device 200 may determine whether the first toilet is located in the downtown area through the location of the first toilet, and if it is determined that the first toilet is located in the downtown area, the sixth score is the highest score of the sixth score. Here, a process of determining whether the first toilet is located in the downtown area through the location of the first toilet will be referred to FIG. 4 .

In step S307 , the apparatus 200 may check the soundproofing level of the first toilet and generate a seventh score based on the soundproofing level of the first toilet.

Specifically, the device 200 may communicate with microphone devices attached to the inside and outside of the first bathroom by wire or wirelessly, and may obtain the average decibels inside the bathroom by checking the decibels inside the bathroom through the microphone device attached to the inside of the bathroom for a first preset period through the microphone devices attached to the inside and outside of the first bathroom, and may also obtain the average decibel outside the bathroom by checking the decibels outside the bathroom through the microphone device attached to the outside of the bathroom during the first period. In addition, the device 200 may determine the sound insulation level of the first bathroom based on the average decibels inside the bathroom and the average decibel outside the bathroom.

Here, the apparatus 200 may select grade 1 as the soundproofing level of the first bathroom when both the average decibel inside the first bathroom and the average decibel outside the first bathroom are lower than the first reference decibel.

In addition, when the average decibel inside the first toilet is lower than the first reference decibel and the average decibel outside the first toilet is higher than the first reference decibel and lower than the second reference decibel, the device 200 may select a second grade as the soundproof level of the first toilet, and the apparatus 200 determines that the average decibel inside the first toilet is higher than the first reference decibel and lower than the second reference decibel, and the average decibel outside the first toilet is the first reference decibel. If it is lower than the standard decibel, a second grade may be selected as the soundproofing level of the first bathroom.

In addition, when the average decibel inside the first toilet and the average decibel outside the first toilet are both higher than the first reference decibel and lower than the second reference decibel, the first toilet may select a grade 3 soundproofing level, and when the average decibel inside the first toilet is lower than the first reference decibel and the average decibel outside the first toilet is higher than the second reference decibel, a grade 3 may be selected as the soundproofing level of the first toilet , When the average decibel inside the first bathroom is higher than the second reference decibel and the average decibel outside the first bathroom is lower than the first reference decibel, a grade 3 may be selected as the soundproofing level of the first bathroom.

In addition, when the average decibel inside the first toilet is higher than the first reference decibel and lower than the second reference decibel, and the average decibel outside the first toilet is higher than the second reference decibel, the device 200 may select grade 4 as the soundproofing level of the first toilet, and the apparatus 200 may select a grade 4 as the sound insulation level of the first toilet, and the device 200 may select a grade 4 when the average decibel inside the first toilet is higher than the second reference decibel, and the average decibel outside the first toilet is higher than the first reference decibel and the second reference decibel. If it is lower than Siebel, 4th grade can be selected as the soundproofing level of the first bathroom.

In addition, the apparatus 200 may select a grade 5 as the soundproofing level of the first bathroom when both the average decibel inside the first bathroom and the average decibel outside the first bathroom are higher than the second reference decibel. In this case, the first reference decibel and the second reference decibel are preset values and may vary according to embodiments, and the second reference decibel is a value set higher than the first reference decibel.

That is, the apparatus 200 may generate a higher 7th score as the soundproofing level of the first bathroom approaches 1st grade, and may generate a smaller 7th score as the soundproofing level of the first toilet approaches 5th grade.

In addition, the apparatus 200 may assign the highest score of the 7th score as the 7th score when the soundproofing level of the first toilet is higher than the preset reference grade, and if the soundproofing level of the first toilet is not higher than the preset reference grade, the 7th score may be generated in proportion to the soundproofing level of the first toilet.

In step S308, the device 200 may generate a final score of the first toilet as a sum of the first score, the second score, the third score, the fourth score, the fifth score, the sixth score, and the seventh score.

Specifically, the apparatus 200 may generate a final score for the first toilet as a sum of a first score generated based on a management cycle, a second score generated based on the number of included options, a third score generated based on the size of the bathroom and the number of toilet compartments, a fourth score generated based on the number of users of the bathroom, a fifth score generated based on the satisfaction of the bathroom, a sixth score generated based on the location of the bathroom, and a seventh score generated based on the soundproofing level of the bathroom.

According to an embodiment, the highest scores of each of the first, second, third, fourth, fifth, sixth, and seventh points may be set to the same score, but the highest score may be set differently according to device manager settings. For example, the highest score of the first score, the second score, the third score, the fourth score, the fifth score, the sixth score, and the seventh score may all be equally set to 10 points, the highest score of the first score is 15 points, the highest score of the second score is 10 points, the highest score of the third score is 12 points, the highest score of the fourth score is 8 points, the highest score of the fifth score is 15 points, the highest score of the sixth score is 5 points, and the seventh score The highest score may be set differently to 10 points.

In step S309, the apparatus 200 may select a basic cost corresponding to the first toilet in proportion to the final score of the first toilet.

Specifically, the device 200 generates a final score of the first toilet as a sum of a first score generated based on a management cycle, a second score generated based on the number of options included, a third score generated based on the size of the bathroom and the number of toilet compartments, a fourth score generated based on the number of users of the bathroom, a fifth score generated based on the satisfaction of the bathroom, a sixth score generated based on the location of the bathroom, and a seventh score generated based on the soundproofing level of the bathroom. A basic cost corresponding to the first toilet may be selected in proportion to the final score of the toilet.

Due to this, the apparatus 200 generates a high basic cost of a clean, convenient, and safe toilet, so that the toilet manager can manage it with responsibility, and the user has the effect of determining whether the toilet is clean, convenient, and safe through the basic cost set for the toilet.

4 is a flowchart illustrating a process of determining whether a toilet is located on a busy street according to an exemplary embodiment.

Referring to FIG. 4 , first, in step S401, the apparatus 200 may generate a population score based on the population density of an area including the location of the first toilet. In this case, the device 200 may communicate with the website by wire or wirelessly, and obtain information by accessing the website.

Specifically, the device 200 may check which area the first toilet is included in through the location of the first toilet obtained from the terminal 110 of the toilet manager. Here, the region may be a dong unit, a ward unit, or a city unit. Also, it may be set in other units of the region.

In addition, the device 200 may obtain a population density of a corresponding region by accessing a website, and generate a population score based on the population density. Here, the population score may be generated as a value proportional to the population density. The higher the population density, the higher the population score, and the lower the population density, the lower the population score.

In step S402, the device 200 may obtain the number of public transportation passing through a first threshold range based on the location of the first toilet, and generate a traffic score based on the number of public transportation. Here, the first threshold range is a range within a preset first threshold distance centered on the location of the first toilet, and the first threshold distance may vary according to embodiments as a preset distance.

Specifically, the device 200 may generate a preset first critical range based on the location of the first toilet acquired from the terminal 110 of the toilet manager, and may check subway stations and bus stops included within the first threshold range generated through a website. The device 200 may obtain the number of public transportation passing through subway stations and bus stops included within the first threshold range through a website. Also, the apparatus 200 may generate a traffic score based on the number of public transportation passing through subway stations and bus stops included within the obtained first threshold range. Here, the traffic score may be generated as a value proportional to the number of public transportation, and the higher the number of public transportation, the higher the transportation score, and the smaller the number of public transportation, the lower the transportation score.

In step S403, the apparatus 200 may obtain the number of stores included in the second threshold range based on the location of the first toilet, and generate store scores based on the number of stores. Here, the second threshold range is a range within a preset second threshold distance centered on the location of the first bathroom, and the second threshold distance may vary according to embodiments to a preset distance wider than the first threshold distance.

Specifically, the device 200 may communicate with a store database through wired or wireless communication, and the store database may include information about which stores are located at which stores. The apparatus 200 may generate a preset second threshold range based on the location of the first toilet acquired from the terminal 110 of the toilet manager, check stores included in the second threshold range through a store database, and generate store scores based on the number of stores included in the second threshold range. Here, the store score may be generated as a value proportional to the number of stores, and a higher store score may be generated as the number of stores increases, and a lower store score may be generated as the number of stores decreases.

In step S404, the apparatus 200 may determine that the first toilet is located in a busy street when it is determined that the sum of the population score, traffic score, and shop score is greater than the target value. Here, the target value is a preset value and may vary according to embodiments.

According to an embodiment, the highest scores of each of the population score, the traffic score, and the shop score may be set to the same score, but the highest score may be set differently according to the settings of the device manager. For example, the highest points of the population score, the traffic score, and the shop score may all be equally set to 10 points, the highest score of the population score is 8 points, the highest score of the transportation score is 10 points, and the highest score of the shop score may be set differently to 15 points.

Specifically, the device 200 may determine whether the sum of the population score, traffic score, and shop score is greater than a preset target value, and if the device 200 determines that the sum of the population score, traffic score, and shop score is greater than the target value, it may be determined that the first toilet is located in a busy street. Also, the apparatus 200 may determine that the first toilet is not located in the downtown area when it is determined that the sum of the population score, traffic score, and shop score is not greater than the target value.

For this reason, the apparatus 200 generates a population score, a traffic score, and a store score based on the location of the first toilet, and determines whether the first toilet is located in the downtown area through the generated population score, traffic score, and store score. If it is determined that the first toilet is located in the downtown area, a high basic cost corresponding to the first toilet can be generated.

Meanwhile, the device 200 may store the user's use of the bathroom in a database, analyze the user's use of the bathroom, generate a report, and provide the generated report to the toilet manager's terminal.

5 is a flowchart illustrating a process of providing a report to a bathroom manager according to an embodiment.

Referring to FIG. 5 , first, in step S501, the device 200 may check the usage ratio of the female toilet and the male toilet owned by the toilet manager, respectively.

Specifically, the device 200 may determine the number of times the female toilet is used and the number of male toilets used by checking the details of the user matched to the toilet owned by the toilet manager stored in the database. In addition, the device 200 may check the usage ratio of the women's toilet and the men's toilet, respectively, through the number of times the toilet manager has used the women's toilet and the number of men's toilets used.

In step S502, the device 200 may check a difference value between the use rate of the female toilet and the use rate of the male toilet.

Specifically, the device 200 may check the usage ratio of the female toilet and the male toilet, respectively, through the details of the user matched to the toilet owned by the toilet manager stored in the database, and the identified female toilet usage ratio and the men's toilet usage ratio. A difference value may be generated.

In step S503, the apparatus 200 may generate toilet rebalancing information recommending an increase in toilets with a high use rate based on a difference value greater than a threshold value. Here, the threshold value is a preset value and may vary according to embodiments.

Specifically, the apparatus 200 may determine whether the difference between the female toilet use rate and the male bathroom use rate is greater than a threshold value, and if it is determined that the difference value between the female toilet use rate and the male toilet use rate is greater than the threshold value, it may generate toilet rebalancing information recommending that toilets with a high use rate be increased. That is, the apparatus 200 may generate toilet rebalancing information recommending an increase in female toilets when it is confirmed that the difference between the female bathroom use rate and the male bathroom use rate is greater than the threshold value and the female bathroom use rate is greater than the male bathroom use rate, and if it is confirmed that the difference between the female bathroom use rate and the male bathroom use rate is greater than the threshold value and the male bathroom use rate is greater than the female bathroom use rate, toilet rebalancing recommending increasing the male bathroom information can be generated.

In addition, the apparatus 200 may not generate toilet rebalancing information when it is determined that the difference between the female toilet use rate and the male toilet use rate is not greater than a threshold value.

For example, when the female toilet usage rate is 80%, the male toilet usage ratio is 20%, and the threshold value is 40%, the apparatus 200 may determine that the difference between the female toilet usage ratio and the male toilet usage ratio, 60%, is greater than the threshold value of 40%, and may generate toilet rebalancing information recommending an increase in female toilets with a high usage ratio.

In step S504, the apparatus 200 may check the visiting time of the user using the toilet owned by the toilet manager to generate the visit time distribution, and based on the visit time distribution, create the main visit time zone of the toilet.

Specifically, the device 200 may check the details of users matched to the bathrooms owned by the bathroom manager stored in the database, and check the visit time of the user who used the bathroom owned by the bathroom manager. In addition, the apparatus 200 may generate a visit time distribution through the visit time of a user using the bathroom owned by the confirmed toilet manager, and based on the visit time distribution degree, the visit time is most crowded, that is, the highest density can be identified, and the corresponding time can be generated as the main visit time of the toilet. At this time, the device 200 may generate the time at which the visit time identified through the visit time distribution is the most crowded as the main visit time of the bathroom, or the visit time confirmed through the visit time distribution may generate a time zone including the most crowded time as the main visit time of the bathroom. Here, the time zone may be generated at preset intervals, may be one hour intervals, two hour intervals, or other time intervals.

In step S505, the device 200 may generate toilet management information leading to toilet management before reaching the main toilet visit time zone. Here, the bathroom management may include cleaning the bathroom, preparing bathroom fixtures, checking normal operation of devices included in the bathroom, and the like.

Specifically, the device 200 may check the main visit time zone of the toilet through the details of the user matched to the toilet possessed by the toilet manager stored in the database, and before reaching the main visit time zone of the identified toilet, toilet management information leading to toilet management can be generated.

For example, when the main visit time zone is 8:00 to 9:00, the device 200 may generate toilet management information including a message to manage the bathroom at 7:30 before reaching 8:00.

In step S506, the apparatus 200 may determine the age range of the user who has used the bathroom owned by the bathroom manager to generate an age distribution level, and based on the age distribution level, generate the age of the main toilet visit.

Specifically, the apparatus 200 may check the age of the user who used the bathroom owned by the bathroom manager by checking the details of the user matched to the bathroom owned by the bathroom manager stored in the database. In addition, the apparatus 200 may generate a degree of age distribution through the age of the user who used the toilet owned by the confirmed toilet manager, and based on the degree of age distribution, the most used age, that is, the age with the highest density. The age may be identified, and the corresponding age may be generated as the age of the main visit to the toilet. At this time, the device 200 may generate the most frequent age identified through the age distribution as the main toilet age, and the age group including the most frequent age identified through the age distribution as the main toilet age. Here, the age range may be generated at preset intervals, may be intervals of 5 years, intervals of 10 years, or other intervals.

In step S507 , the apparatus 200 may obtain interior trends of the ages of main visits based on the ages of main visits to toilets, and generate bathroom remodeling information including the interior trends of ages of main visits.

Specifically, the device 200 may communicate with a database of interior sites by wire or wirelessly, and the database of interior sites may match and store user and user-preferred interiors, and may further include interior trends according to age and interior trends according to gender through the interior matched with the user. That is, the device 200 may check the age of the main visit to the toilet through the details of the user matched to the toilet owned by the toilet manager stored in the database, and match the age of the main visit to the toilet through the database of the interior site. Interior trends can be obtained. In addition, the apparatus 200 may generate bathroom remodeling information including interior trends matched to the age of the main bathroom visitor acquired through a database of an interior site.

For example, if the age of the main visit to the bathroom is 40 to 50 years old, the device 200 may obtain that the interior trend matched to the age of 40 to 50 is natural style, hardwood, and nature-friendly through a database of an interior site, and may generate bathroom remodeling information including the obtained natural style, wood, and nature-friendly.

In step S508, the apparatus 200 may generate a report including toilet rebalancing information, toilet management information, and toilet remodeling information, and provide the report to the toilet manager.

For this reason, the apparatus 200 provides the toilet manager with a report including toilet rebalancing information, toilet management information, and toilet remodeling information generated through the details of the user who used the corresponding toilet, so that the toilet manager needs more toilets of which sex, when to manage the toilet, and how to remodel the toilet.

Meanwhile, a thermal imaging camera is provided in the bathroom, and the apparatus 200 communicates with the thermal imaging camera provided in the bathroom by wire or wireless to determine whether or not there is a risk of fire in the bathroom through the thermal imaging camera.

6 is a flowchart illustrating a process of determining whether there is a risk of fire based on a thermal imaging camera according to an exemplary embodiment.

Specifically, the device 200 may communicate with a thermal imaging camera installed in a bathroom by wire or wirelessly, control the thermal imaging camera, and receive a thermal image from the thermal imaging camera. At this time, the thermal imaging camera may be a camera that displays the temperature of a space to be captured in a predetermined color (red/yellow for a high temperature region, purple for a low temperature region, and blue green for a central region) based on infrared rays. In this case, the infrared measurement/photography range may be 780 nm to 14 μm.

Next, detailed steps of determining whether there is a risk of fire based on the thermal image will be described.

Referring to FIG. 6 , first, in step S601, the apparatus 200 may extract a first image from a first viewpoint of a first thermal image.

Specifically, the apparatus 200 may control a first thermal image of the bathroom to be captured through a thermal imaging camera installed in the bathroom, receive the first thermal image in real time, capture a first image that is an image at any one time point (first time point) of the first thermal image (video) measured over time, and extract the image as a still image.

In step S602, the apparatus 200 may extract a second image at a second point in time after a predetermined time has elapsed from the first point in time of the first thermal image.

In detail, the device 200 may extract the second image at a second point of view that is later than the first point of view in the same way as the first image.

In this case, the shooting range of the first thermal imaging camera may be fixed so as not to be adjusted between the first viewpoint and the second viewpoint. In other words, the first image and the second image are identically displayed in all shapes other than the color in which the temperature appears.

In step S603, the device 200 may generate a color spectrum from the second image from the lowest temperature to the highest temperature appearing in the second image.

In detail, the apparatus 200 may generate a color spectrum bar in which the color changes continuously from purple, which is the lowest temperature color, to red, which is the highest temperature color, based on the temperature color appearing in the second image.

The color spectrum generated as described above is shown in FIG. 9(a).

In step S604, the apparatus 200 may classify colors from the lowest temperature to the highest temperature appearing in the second image into at least five grades based on the color spectrum.

Specifically, the apparatus 200 may convert color spectrum bars in which color changes are 'continuous' into colors as many as the number of levels.

FIG. 7 (b) shows spectrum bars in the form of dividing the FIG. 7 (a) into five levels.

In step S605 , the apparatus 200 may convert the first color C1 appearing in the first image and the second image into a second color C2 according to each grade based on the grade.

Specifically, the device 200 may convert various colors such as red-week-yellow-second-blue-south-violet appearing in the first image and the second image into colors for each grade. Therefore, only a total of 5 colors (as many as the number of the ratings) may be displayed in the converted final first image and second image.

In step S606, the device 200 may count the number of first pixels in which the second colors C2 appear in the first image for each second color C2.

In step S607, the device 200 may count the number of second pixels in which the second colors C2 appear in the second image for each second color C2.

In step S608, the device 200 may count the number of third pixels that is the total number of pixels of the first image.

Specifically, the device 200 may count the number of pixels constituting the first image and the second image.

For example, if the sizes of the first image and the second image are '1080*760', the device 200 may count '1080*760 = 820,800' as the third number of pixels.

Here, the first pixel number and the second pixel number may be counted as shown in Table 1 below.

Secondary Color (Rating) One 2 3 4 5 Total (number of third pixels) first number of pixels 205167 246130 246129 81932 41442 820800 Second number of pixels 123481 123013 205121 205025 164160 820800

In Table 1, a higher grade (from 1 to 5) may mean a color (red) representing a higher temperature. For example, in the example of FIG. 9(b) , purple may indicate a first grade, cyan a second grade, green a third grade, yellow a fourth grade, and red a fifth grade. In step S609, the device 200 may calculate [the number of first pixels / the number of third pixels = a first ratio] and [the number of second pixels / the number of third pixels = a second ratio] for each second color.

That is, the device 200 may calculate the ratio of each second color in each of the first image and the second image.

An example of calculating the first ratio and the second ratio according to the example of Table 1 is shown in Table 2.

Grade (Second Color) One 2 3 4 5 total first rate 0.24996 0.299866 0.299865 0.09982 0.05049 One second rate 0.15044 0.14987 0.249904 0.249787 0.2 One

As shown in Table 2, the sum of the first ratios and the sum of the second ratios each become 1. In step S610, the apparatus 200 may extract at least one check group that is a combination of second colors C2 that differ by at least four grades from among the second colors C2.

That is, the apparatus 200 may extract a combination of second colors C2 whose grades differ by four or more grades.

In the example of Table 2, since the grades are 5 steps from 1 to 5, only one pair of grades 1 and 5 can be extracted from the inspection group.

As another example, if the ratings are 6 steps from 1 to 6, three combinations [(1, 5), (1, 6), (2, 6)], which are combinations whose grades differ by more than four grades among the combinations of 6C2 that extract two out of six, can be extracted as a check group.

In step S611, the apparatus 200 may calculate [(first ratio - second ratio) / first ratio = first change rate] of [the third color that is the second color (C2) of the relatively low grade in the check group] for each inspection group.

That is, the apparatus 200 may calculate the first increase/decrease rate for each combination of inspection groups.

For example, when [(1, 5), (1, 6), and (2, 6)] are the inspection groups, the apparatus 200 may designate 1, 1, and 2, which are the second colors C2 of a relatively low grade in each of the three inspection groups, as the third colors, and calculate the first change rate for 1, 1, and 2.

The first change rate for grade 1 may be calculated as '(0.24996 - 0.15044) / 0.24996 = 0.3981' based on Table 2.

In step S612, the device 200 may calculate [(second ratio - first ratio) / first ratio = second change rate] of [the fourth color that is the second color (C2) of the relatively high grade in the check group] for each inspection group.

Specifically, the device 200 calculates the second change rate in the same way as the first change rate calculation process, but calculates the second change rate based on the relatively high grade of the second color C2 in each of the three inspection groups.

For example, when [(1, 5), (1, 6), and (2, 6)] are the inspection groups, the device 200 may designate 5, 6, and 6, which are the second colors C2 of a relatively high rank in each of the three inspection groups, as the fourth colors, and calculate a second increase/decrease rate for 5, 6, and 6.

The second increase/decrease rate for grade 5 may be calculated as '(0.20000 - 0.05049) / 0.20000 = 2.961' based on Table 2.

In step S613, the apparatus 200 may calculate [(second increase rate - first increase rate) * difference in grades between the second colors C2 = first increase index] for each inspection group.

That is, the device 200 may calculate the first increase factor by reflecting the grade difference between the second colors C2 based on the calculated first increase and decrease rates and the second increase and decrease rates.

Based on Table 2, since the first change rate is 0.3981, the second change rate is 2.961, and the grade difference between the second colors C2 (the grade difference between the third color and the fourth color) is 4, the device 200 can calculate (2.961 - 0.3981) * 4 = 10.2516 as the first increase factor.

In addition, when there are several combinations of inspection groups, the device 200 may calculate several first increase indices.

In step S614, the device 200 may return the first incremental index as the second incremental index when there is one inspection group, and return the average value of the first incremental indexes of the inspection groups as the second incremental index when there are two or more inspection groups.

That is, the apparatus 200 may calculate a second incremental factor as a final value based on the first incremental factor(s).

For example, when the first incremental index is 10.2516, the device 200 calculates (returns) 10.2516 as the second incremental index, and the apparatus 200 calculates (returns) the second incremental index as 10.2516 and 12.4518.

In addition, the device 200 may determine that there is a risk of fire when the second increase factor is greater than or equal to a predetermined value, and accordingly, the device 200 may determine whether there is a risk of fire based on the first thermal image.

For example, the apparatus 200 may determine that there is a risk of fire when the temperature change is rapid by designating a case where the second increase factor is 15 or more as a risk of fire.

8 is an exemplary diagram of a configuration of a device according to an embodiment.

Device 200 according to an embodiment includes a processor 210 and a memory 220 . The processor 210 may include at least one device described above with reference to FIGS. 1 to 7 or may perform at least one method described above with reference to FIGS. 1 to 7 . A person or organization using the device 200 may provide services related to some or all of the methods described above with reference to FIGS. 1 to 7 .

The memory 220 may store information related to the methods described above or may store a program in which the methods described below are implemented. Memory 220 may be volatile memory or non-volatile memory.

The processor 210 may execute a program and control the device 200 . Program codes executed by the processor 210 may be stored in the memory 220 . The device 200 may be connected to an external device (eg, a personal computer or network) through an input/output device (not shown) and exchange data through wired/wireless communication.

The embodiments described above may be implemented as hardware components, software components, and/or a combination of hardware components and software components. For example, the devices, methods, and components described in the embodiments may be implemented using one or more general purpose or special purpose computers, such as, for example, a processor, controller, arithmetic logic unit (ALU), digital signal processor, microcomputer, field programmable gate array (FPGA), programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. A processing device may run an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will recognize that the processing device may include a plurality of processing elements and/or multiple types of processing elements. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program commands recorded on the medium may be specially designed and configured for the embodiment or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, and hardware devices specially configured to store and execute program instructions such as ROM, RAM, and flash memory. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

Software may include a computer program, code, instructions, or a combination of one or more of these, and may configure a processing device to operate as desired, or may independently or collectively direct a processing device. Software and/or data may be permanently or temporarily embodied in any tangible machine, component, physical device, virtual equipment, computer storage medium or device, or transmitted signal wave, to be interpreted by, or to provide instructions or data to, a processing device. Software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

As described above, although the embodiments have been described with limited drawings, those skilled in the art can apply various technical modifications and variations based on the above. For example, even if the described techniques are performed in an order different from the described method, and/or components of the described system, structure, device, circuit, etc. are combined or combined in a different form from the described method, or replaced or substituted by other components or equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims (3)

In the user location-based toilet use and payment service providing method, performed by the device,
Collecting toilet information including toilet location and toilet options from a toilet manager terminal;
Matching the location of the toilet included in the toilet information to a map database;
Receiving a request for providing information on a nearby toilet from a user's terminal, and acquiring the user's location from the user's terminal;
obtaining a nearby toilet, which is a toilet included within a preset first distance from the user's location, based on the user's location and the map database;
providing information on the nearby toilet to the user's terminal;
providing a basic cost corresponding to the first toilet and information on the first toilet to the user's terminal when a first toilet, which is one of the nearby toilets, is selected from the user's terminal;
When receiving a request to use the first toilet from the user terminal, determining whether a distance between the user terminal and the first toilet is within a preset second distance, and controlling the first toilet to be automatically opened when the distance between the user terminal and the first toilet is within the second distance;
If it is confirmed that the user's terminal is located in the first toilet, controlling the first toilet to be automatically locked, and measuring a toilet visit time, which is a time when the user's terminal is located in the first toilet; and
Generating a final payment cost based on the basic cost corresponding to the first bathroom and the bathroom visit time, and managing the final payment cost to be paid from the user's terminal,
Further comprising providing a settlement and report to the toilet manager,
Providing a basic cost corresponding to the first toilet and information on the first toilet to the user's terminal;
Further comprising selecting a basic cost corresponding to the first toilet,
The step of selecting the basic cost corresponding to the first toilet,
Checking the management cycle of the first toilet and generating a first score according to the management cycle;
Checking the options included in the first toilet and generating a second score according to the number of options included;
Based on the information of the first toilet, confirming the size of the first toilet and the number of compartments of the first toilet, and generating a third score based on the size of the first toilet and the number of compartments of the first toilet;
Checking the number of users using the first toilet and generating a fourth score based on the number of users using the first toilet;
Obtaining satisfaction with the first bathroom from a terminal of a user who has used the first bathroom, and generating a fifth score based on the satisfaction with the first bathroom;
Determining whether the first toilet is located in the downtown area through the location of the first toilet and generating a sixth score;
Checking the soundproofing level of the first bathroom and generating a seventh score based on the soundproofing level of the first bathroom;
Generating a final score of the first toilet as a sum of the first score, the second score, the third score, the fourth score, the fifth score, the sixth score, and the seventh score, and
Selecting a basic cost corresponding to the first toilet in proportion to the final score of the first toilet;
The step of providing the report to the toilet manager,
Checking the use ratio of the female toilet and male toilet owned by the toilet manager, respectively;
Checking a difference value between the use rate of the female toilet and the use rate of the male toilet;
Generating toilet rebalancing information recommending an increase in toilets with a high usage rate based on the difference value being greater than a preset threshold;
Checking the visit time of the user using the toilet owned by the toilet manager, generating a visit time distribution degree, and generating a main visit time zone of the toilet based on the visit time distribution degree;
Generating toilet management information that induces toilet management to be performed before reaching the main visit time zone of the toilet;
Checking the age range of the user who used the bathroom owned by the bathroom manager, generating a degree of age distribution, and generating a primary visit age of the bathroom based on the degree of age distribution;
Based on the age of the main visit to the bathroom, obtaining an interior trend of the age of the main visit and generating bathroom remodeling information including the interior trend of the age of the main visit, and
Generating and providing a report including the bathroom rebalancing information, the bathroom management information, and the bathroom remodeling information to the bathroom manager,
How to provide user location-based toilet use and payment services. delete delete