KR20220055813A - A platform for providing notification of the ventilation status of welfare centers to the elderly and managing the environment of welfare centers - Google Patents

Abstract

A welfare center indoor environment management method, according to an embodiment of the present invention, comprises the steps of: sensing the location of a welfare center visitor and recognizing the hourly indoor movement of the welfare center visitor; machine-learning the recognized hourly indoor movement of the welfare center visitor, extracting a hourly indoor movement pattern of the welfare center visitor, and constructing a hourly indoor movement prediction model based on the extracted hourly indoor movement pattern; specifying a time at which the welfare center visitor is predicted to move and an indoor area of the welfare center based on the hourly indoor movement prediction model of the welfare center visitor; recognizing the current occupancy of the specified area; determining whether ventilation is required as the welfare center visitors are additionally accommodated in the specified area based on the recognized current occupancy; and if it is determined that the ventilation is necessary, performing ventilation of the specified area in advance before the time when the welfare center visitor is expected to move to the specified area.

Description

A platform for providing notification of the ventilation status of welfare centers to the elderly and managing the environment of welfare centers

The present specification provides a notification of ventilation status of a welfare center to the elderly, and proposes a platform, a system, a method, and an apparatus therefor for managing the environment of the welfare center.

In general, the density of carbon dioxide (CO2) increases over time in the air in the enclosed space due to the breathing of the occupant, which interferes with the breathing of the occupant. Therefore, when many people stay in a narrow space, such as an office or a vehicle, it is necessary to frequently replace the indoor polluted air with outdoor fresh air, and a ventilation system is used at this time.

The ventilation system drives the air supply fan to introduce outdoor air, cools and heats the incoming air to a temperature similar to the indoor temperature through the total heat exchanger, and then flows into the room through the air supply unit. Then, the exhaust fan is driven to introduce indoor air through the exhaust unit and exhaust the incoming air to the outdoors. At this time, the total heat exchanger serves to suppress the sudden inflow of cold air and hot air.

However, the operation of the ventilation system alone lacks indoor dust collection and deodorization ability, and when outdoor air is introduced through the air supply fan, polluted air from the outside is introduced into the room without being finely filtered, resulting in indoor air characteristics. cause aggravation of

In order to solve this problem, recently, by using an air purifier, the dust collection and deodorization ability of indoor air is effectively solved.

However, since the conventional ventilation systems and air purifiers are all designed to operate only when the air pollution level reaches a certain level, there is a problem in that the indoor air must be contaminated to some extent. This has a problem that it can harm the respiratory health of the elderly, pregnant women, and infants, who are greatly affected by even a small degree of pollution.

To prevent this, the ventilation system and the air purifier can always be operated, but in this case, unnecessary power consumption is increased, and in the case of the air purifier, there are problems that the consumption speed of the filter, which is a consumable, is increased.

Accordingly, an object of the present invention is to maintain a comfortable indoor environment by predicting in advance that the number of occupants will be added to each indoor zone and performing ventilation for the corresponding indoor zone in advance.

In a welfare center indoor environment management method according to an embodiment of the present invention, the method comprising: sensing a location of a welfare center visitor to recognize an indoor movement of the welfare center visitor by time; extracting an hourly indoor movement pattern of the welfare center visitor by machine learning the recognized indoor movement of the visitor to the welfare center by time, and building an hourly indoor movement prediction model based on the extracted indoor movement pattern by time; specifying a time at which the welfare center visitor is expected to move and an indoor area of the welfare center based on the hourly indoor movement prediction model of the welfare center visitor; recognizing the current capacity of the specified area; Determining whether ventilation is necessary as the welfare center visitors are additionally accommodated in the specified area based on the recognized current capacity; and if it is determined that the ventilation is necessary, performing ventilation of the specified area in advance before the time when the visitor of the welfare center is expected to move to the specified area; may include

According to an embodiment of the present invention, there is an effect that a comfortable indoor environment is always maintained regardless of the increase/decrease in the number of occupants.

In addition, according to an embodiment of the present invention, since indoor pollution degree information is provided to managers, visitors, guardians, etc., managers, guardians, etc. can manage the number of occupants for each zone based on the pollution level for each zone, and at the same time, the visitor can It has the effect of being able to use the facility in a comfortable environment at all times because it can move to an area with a low degree of pollution.

In addition, various effects of the present invention will be described later in detail with reference to the following drawings, and are not limited to the above-described effects.

1 is a conceptual diagram of an indoor environment management system for a welfare center according to an embodiment of the present invention.
2 is a flowchart of a method for managing an indoor environment of a welfare center according to an embodiment of the present invention.
3 is a diagram illustrating an embodiment of recognizing an indoor movement line by time of a visitor to a welfare center according to an embodiment of the present invention.
4 is a diagram illustrating an embodiment of an indoor movement line prediction model by time according to an embodiment of the present invention.
5 is a diagram illustrating a grouping method among visitors according to an embodiment of the present invention.
6 is a diagram illustrating a prediction method according to the prediction model according to the embodiment of FIG. 4 .
7 is a diagram illustrating an embodiment of a case in which a visitor to a welfare center is located outside the welfare center according to an embodiment of the present invention.
8 is a diagram illustrating an output screen of a terminal that provides a pollution level for each indoor area of a welfare center according to an embodiment of the present invention.
9 is a diagram illustrating a display device according to an exemplary embodiment.
10 is a block diagram of a welfare center indoor environment management server according to an embodiment of the present invention.

Since the technology to be described below may have various changes and may have various embodiments, specific embodiments will be illustrated in the drawings and described in detail. However, this is not intended to limit the technology described below to specific embodiments, and it should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the technology described below.

Terms such as first, second, A, and B may be used to describe various components, but the components are not limited by the above terms, and only for the purpose of distinguishing one component from other components. is used only as For example, a first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component without departing from the scope of the present invention. and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items. For example, 'A and/or B' may be interpreted as meaning 'at least one of A or B'. Also, '/' may be interpreted as 'and' or 'or'.

In terms of terms used herein, the singular expression should be understood to include a plural expression unless the context clearly dictates otherwise, and terms such as "comprises" include the specified feature, number, step, operation, and element. , parts or combinations thereof are to be understood, but not to exclude the possibility of the presence or addition of one or more other features or numbers, step operation components, parts or combinations thereof.

Prior to a detailed description of the drawings, it is intended to clarify that the classification of the constituent parts in the present specification is merely a division according to the main function each constituent unit is responsible for. That is, two or more components to be described below may be combined into one component, or one component may be divided into two or more for each more subdivided function. In addition, each of the constituent units to be described below may additionally perform some or all of the functions of other constituent units in addition to the main function it is responsible for. Of course, it can also be performed by being dedicated to it.

In addition, in performing the method or method of operation, each process constituting the method may occur differently from the specified order unless a specific order is clearly described in context. That is, each process may occur in the same order as specified, may be performed substantially simultaneously, or may be performed in the reverse order.

1 is a conceptual diagram of an indoor environment management system for a welfare center according to an embodiment of the present invention.

Referring to FIG. 1 , the indoor environment management system for a welfare center of the present invention may include at least one Internet of Things (IoT) device 120 , a welfare center indoor environment management server 130 , and at least one user terminal 140 . there is.

The IoT device 120 corresponds to an IoT device installed in the welfare center 110 , and may correspond to a device that senses the indoor environment of the welfare center and transmits the sensing result to the server, or receives a command from the server and operates. For example, the IoT device 120 may include a temperature sensor, a carbon dioxide concentration measurement sensor, an oxygen concentration measurement sensor, a fine dust concentration measurement sensor, an ultrafine dust concentration measurement sensor, a pollution level measurement sensor, a harmful gas sensor, a smart window, and an air purifier. , indoor and outdoor air circulators, air conditioners, washing machines, refrigerators, smart doors, CCTVs, PCs, and the like.

The welfare center indoor environment management server 130 is a configuration that plays a central role in the welfare center indoor environment management system, and can control the IoT device 120 to perform the embodiment proposed in this specification, and the user terminal 140 ) can communicate with In more detail, the welfare center indoor environment management server 130 can communicate with the IoT device 120 to continuously observe the indoor environment of the welfare center 110, and based on the observations to maintain a comfortable indoor environment The IoT device 120 may be controlled. In addition, information about the indoor environment may be provided to the user terminal 140 . Here, the user terminal 140 may correspond to a terminal of a welfare center visitor, a terminal of a person in charge of a welfare center/administrator, and/or a terminal of a guardian (guardian of a welfare center visitor).

This system may be configured by registering the IoT device 120 and the user terminal 140 in the welfare center indoor environment management server 130 , and the welfare center indoor environment management server 130 includes the IoT device 120 and the user terminal 140 . ), you can manage the members of the indoor environment management system of the welfare center by registering or deleting them at the request. In particular, at the time of registration, the IoT device 120 is installed in which indoor area among the indoor areas of the welfare center 110, and information on which indoor area sensing/ventilating operation is performed is also registered with the management server 130. can be

Welfare center visitors who visit the welfare center 110, especially the elderly, have weak immunity, so it is necessary to continuously observe/measure indoor pollution levels and manage them to maintain a comfortable environment. However, in the case of the existing air ventilation system that operates only when the degree of pollution reaches a preset level, it is inevitable that the indoors are exposed to the polluted indoor environment for a certain period of time.

In order to solve this problem, the indoor environment management system for the welfare center proposed in the present specification predicts the movement of the visitors of the welfare center, and performs environmental purification in advance for the indoor area where the number of occupants is expected to increase, so that the visitors to the welfare center are scheduled Avoid exposure to time contamination.

More details will be described later in detail with reference to each drawing. Hereinafter, for convenience of explanation, the welfare center indoor environment management system will be referred to as a 'management system', and the welfare center indoor environment management server 130 will be referred to as a 'management server'.

2 is a flowchart of a method for managing an indoor environment of a welfare center according to an embodiment of the present invention.

Referring to FIG. 2 , the terminal 140-1 of the welfare center visitor may sense the location of the welfare center visitor in real time or periodically (S210), and transmit the sensed location of the welfare center visitor to the management server 130 (S220). ).

Next, the management server 130 may recognize (and record) the indoor movement of the welfare center visitor by time based on the received location of the welfare center visitor (S230). The hourly indoor movement line is a virtual line connecting the positions of the visitors to the welfare center sensed/recognized in a predetermined time unit, and the predetermined time may be set to various values according to embodiments. For example, the preset time may be set in units of minutes, such as 10 minutes or 30 minutes, or in units of hours, such as 1 hour or 3 hours. When the preset time is set to 1 hour, the management server 130 may generate and recognize the hourly indoor movement line by recognizing the location of the welfare center visitor in units of one hour and connecting the recognized location with a virtual line.

Next, the management server 130 may machine-learize the indoor movement of the welfare center visitor by time, extract the hourly indoor movement pattern of the welfare center visitor, and build an hourly indoor movement prediction model based on this (S240).

In this step, the management server 130 may use various machine learning (eg, machine learning, deep learning, etc.) to learn the hourly indoor movement of the welfare center visitor, and in particular, machine learning based on image learning. . For example, the management server 130 may extract a feature point from the indoor movement of the visitor at the welfare center by time using a CNN (Convolutional Neural Network) as an image learning technology. In particular, the management server 130 can secure N sufficient samples (that is, indoor movement by time of different days) to build a highly accurate prediction model by repeatedly recognizing the indoor movement by time of different days of the welfare center visitor several times. there is. Furthermore, the management server 130 can extract the time-wise indoor movement pattern of the welfare center visitor by extracting the feature points of the samples by CNN learning these N sufficient samples.

Based on the extracted hour-by-hour indoor movement pattern, the management server 130 may build an hourly indoor movement line prediction model. In particular, the management server 130 may build a time-wise indoor movement prediction model by setting the extracted hour-by-hour indoor movement pattern as a prediction criterion. The hourly indoor movement prediction model performs a function of predicting which area the welfare center visitor will move to at what time and in the future, based on the indoor movement pattern extracted for the welfare center visitor.

As the number of samples increases, the prediction accuracy of the prediction model may increase. Accordingly, the management server 130 may recognize/record the hourly indoor movement prediction model for each visit of the welfare center visitor, and continuously update the prediction model based on this.

Next, the management server 130 may specify the time and the welfare center indoor area at which the welfare center visitor is expected to move based on the constructed prediction model (S250). For example, if the current visitor to the welfare center is located in the first area, the management server 130 operates the prediction model for the visitor to the welfare center. The second region can be specified as the first viewpoint and the prediction region, respectively. This exemplifies the case where the welfare center visitor is currently inside the welfare center, and if the welfare center visitor is currently located outside the welfare center and is moving toward the welfare center, the predicted time is specified as the arrival time and this step can be performed, A detailed description of the present embodiment will be described below with reference to FIG. 7 .

Next, the management server 130 may recognize the current capacity of the specified area (S260). Since the management server 130 receives the location of the welfare center visitor in real time/periodic from the terminal 140 of the welfare center visitor registered in the management server 130, it is possible to easily determine the number of people accommodated in each area within the welfare center using this. .

Next, the management server 130 may determine whether ventilation is necessary as the number of visitors to the welfare center is additionally accommodated in the specified area based on the current capacity (S270). In more detail, the management server 130 may predict the degree of internal pollution when additional visitors to the welfare center are introduced into the specified area, and determine that ventilation is necessary when the predicted degree of pollution exceeds a preset level.

As an embodiment, the management server 130 may determine that ventilation of the specified area is necessary when the carbon dioxide concentration of the currently specified area is measured as a value close to the upper limit of the carbon dioxide concentration range determined to be a comfortable environment. . For example, if the carbon dioxide concentration range determined to be a comfortable environment (hereinafter referred to as a 'comfortable concentration range') is set to ~700 PPM and the carbon dioxide concentration in the specified area is measured to be 690 PPM, the air condition of the currently specified area is in a comfortable state, the management server 130 may determine that ventilation is necessary and command ventilation to the IoT device 120-1 in the specified area. That is, in the present embodiment, a carbon dioxide concentration threshold value for determining whether ventilation is required may be separately set, and this may be set to a value smaller than the upper limit of the comfortable concentration range by a preset PPM. Therefore, the management server 130 determines whether the current carbon dioxide concentration (eg, 690 PPM) of the specified area is greater than the carbon dioxide concentration threshold value (eg, 680 PPM), and if it is large, it is determined that ventilation is required. can

As another embodiment, the management server 130 may add and calculate the average carbon dioxide emission per person from the current carbon dioxide concentration in the specified area, and determine based on whether the calculated result is outside the comfortable concentration range. If the calculation result is out of the comfortable concentration range, the management server 130 determines that ventilation is necessary even though the air condition of the currently specified area is comfortable, and the IoT device 120-1 of the specified area Ventilation can be ordered.

In the above-described embodiments, specific numerical values and numerical ranges used for determining whether ventilation is necessary may be set/updated/adjusted by a system administrator/operator based on various research results related to respiratory diseases and ventilation. In addition, although the above-described embodiments have been described based on the carbon dioxide concentration, the present invention is not limited thereto, and the elderly's oxygen concentration, fine dust concentration, ultrafine dust concentration, harmful gas concentration, etc. that can be measured/sensed by the IoT device 120 , etc. Various factors that may affect respiratory health may also be applied in the same/similar manner to the above-described embodiment and used as a criterion for determining whether ventilation is required.

Finally, when it is determined that ventilation is necessary, the management server 130 may instruct the IoT device 120-1 of the specified area to ventilate in advance before the time when the welfare center visitor is expected to move to the specified area ( S280).

In this case, the IoT device 120 - 1 receiving the command may correspond to a smart window, an air purifier, an indoor/outdoor air circulator, and/or an air conditioner in a specified area. Here, the smart window may correspond to a window that automatically opens and closes the window according to the command of the management server, and the indoor/outdoor air circulator discharges internal air to the outside according to the command of the management server, It may correspond to a device that performs the function of circulating indoor and outdoor air by introducing it.

The management server 130 may perform this ventilation operation in advance "before" the time when the visitor of the welfare center is expected to move to the specified area, which is to prepare in advance that the pollution level of the area specified by the visitor of the welfare center will rise. am. For example, the management server 130 may derive the estimated time required to ventilate the specified area, and at a point in time ahead of the estimated time derived from the estimated time of movement of the visitor to the welfare center derived through the predictive model. A command may be transmitted to the IoT device 120-1 to perform ventilation of the designated area. As a result, the IoT device 120-1 may prevent the residents from being exposed to air pollution by performing ventilation in advance before the welfare center visitor moves to the specified area.

3 is a diagram illustrating an embodiment of recognizing an indoor movement line by time of a visitor to a welfare center according to an embodiment of the present invention.

The management server creates and recognizes the hourly indoor movement line 310-3 by connecting to the virtual line 310-2 based on the location (340-1 to 340-4) of the welfare center visitor received by the hour from the IoT device. can In particular, when generating the indoor movement line 310-3, the management server may consider the indoor indoor floor plan 310-1 of the welfare center. For example, the management server does not connect the hourly sensed positions 340-1 to 340-4 only in a straight line, but considers the indoor floor plan 310-1, avoiding the area where the wall is determined to exist. The moving line 310-2 can be shown virtual, and when it is determined that a door exists between the two sensed positions 340-3 and 340-4, the two positions are connected with the moving line 310-2, but the corresponding door It can be shown imaginary in a direction passing through.

For example, as shown in FIG. 3 , it can be assumed that the location of the welfare center visitor is received by the management server at intervals of 1 hour from 13:00 to 16:00. In this case, a total of four locations (340-1 to 340-4) as the location of the visitor to the welfare center may be received by the management server, and the management server may transmit the received four locations (340-1 to 340-4) to the inside of the welfare center. After substituting in the floor plan 310-1, it is possible to create an hourly indoor movement line 310-3 of the welfare center visitors by connecting the wall with a virtual line 310-2 in a manner that avoids the wall but passes the door.

As described above, the movement line 310-3 generated in this way can be used as a machine learning target for constructing a predictive model.

4 is a diagram illustrating an embodiment of an indoor movement line prediction model by time according to an embodiment of the present invention.

As described above, the management server may construct an hourly indoor movement prediction model by machine learning the hourly indoor movement of the welfare center visitor 410 - 1 . In addition, the management server may build a prediction model by adding additional elements as a prediction criterion of the prediction model in order to predict with higher accuracy the indoor movement of the visitor of the welfare center 410 - 1 by time.

As an embodiment, the management server may build/complement the prediction model by adding the current weather as a prediction criterion. This is because the weather may also affect the movement of the welfare center visitor 410 - 1 . For example, if the current weather is very cold due to heavy snow, there is a very high possibility that the visitor 410 - 1 to the welfare center will not visit an area that is greatly affected by external temperature, such as a veranda. Therefore, the management server can build a prediction model by adding today's weather as a prediction criterion.

And/or, as another embodiment, the management server may build/complement the prediction model by adding today's date as a prediction criterion. Here, the date refers to the month/day/day of the week, because the date may also affect the movement of the welfare center visitor 410 - 1 . For example, if a singing class for the elderly is held in the first zone on Mondays and Wednesdays, and the welfare center visitor 410 - 1 is a student of the class, the welfare center visitors repeatedly during the class time on Mondays and Wednesdays in the first zone Very likely to visit Therefore, even if the probability of visiting the first zone is low when the first zone is not visited on the remaining days of the week and the probability of visiting the first zone is determined based on only the hourly indoor movement pattern, there is a common point in the movement / location observed at a specific time on a specific day of the week. In this case, the management server may set the day of the week as the prediction standard of the welfare center visitor 410 - 1 to predict the movement of the welfare center visitor 410 - 1 .

And/or as another embodiment, the management server may build/complement the prediction model by adding the current location of the other visitor of the same group as the welfare center visitor (410-1) as a prediction criterion, for which, referring to FIG. It will be described in detail below.

5 is a diagram illustrating a grouping method among visitors according to an embodiment of the present invention.

The management server compares the hourly indoor movement pattern 550-1 of the welfare center visitor 510 with the hourly indoor movement pattern 550-2 ~ 550-4 of other visitors 520-540, and has a predetermined ratio or more. You can search for other visitors 520 batched as . Furthermore, the management server groups the other visitors 520 found in this way into the same group as the welfare center visitors 510, and uses the current location of the other visitors 520 belonging to the same group as the prediction standard of the welfare center visitor 510 predictive model. can be added This is because there is a very high probability that the visitor 520 matching the hourly indoor movement pattern 550 - 2 by a predetermined ratio or more is a friend who participates in an activity within the welfare center.

In view of this, the management server groups based on the hourly indoor movement patterns (550-1 to 550-4) of the welfare center visitors (520 to 540), and other visitors belonging to the same group as the prediction standard of the prediction model. The current location of (520 to 540) can be additionally set.

6 is a diagram illustrating a prediction method according to the prediction model according to the embodiment of FIG. 4 .

As described above, when a prediction model is constructed by setting a plurality of prediction criteria, a weight may be set for each prediction criterion in case a different prediction region is specified for each prediction criterion. The weight may be set in a direction in which the prediction accuracy of the prediction model is high, and the management server may adjust/set the weight given to each prediction criterion by continuously evaluating the prediction accuracy by itself. The higher the weighted prediction criterion, the higher the priority is given, and it can be used to predict the movement of the visitor to the welfare center.

For example, it may be assumed that the time-based indoor movement pattern 610 and the current location of another visitor 620 belonging to the same group are set as the prediction criteria of the prediction model. At this time, as shown in FIG. 6 , according to the hourly indoor movement pattern 610 , it is predicted that the visitor to the welfare center will visit the first area 630 , whereas, according to the current location of the other visitor 620 belonging to the same group A case in which a visitor to the welfare center is predicted to visit the second area 640 may occur. In this case, based on the weight assigned to each prediction criterion, the final prediction region may be specified by giving a higher priority to the prediction criterion to which a higher weight is given. For example, if a higher weight is given to the hourly indoor movement pattern 610, the management server may specify the first area 630 as the movement prediction indoor area of the welfare center visitor, and other visitors of the same group ( When a higher weight is given to the current location of 620 , the management server may specify the second zone 640 as an indoor zone for predicting movement of visitors to the welfare center.

7 is a diagram illustrating an embodiment of a case in which a visitor to a welfare center is located outside the welfare center according to an embodiment of the present invention.

Basically, since the present invention aims to maintain a comfortable indoor environment of the welfare center, when it is confirmed that the welfare center visitor 710 is outside the welfare center, the management server predicts the movement of the welfare center visitor 710. , there is no need to perform operations such as ventilation of a specified area. However, if it is confirmed that the welfare center visitor 710 who was outside is moving toward the welfare center to visit the welfare center, it is necessary to perform the operation according to the above-described embodiments.

Accordingly, when the location of the welfare center visitor 710 is recognized outside the welfare center, the management server may sense the location of the welfare center visitor 710 in real time to predict whether the destination of the welfare center visitor 710 is a welfare center. In the method of sensing the location of the welfare center visitor 710 in real time, the terminal of the welfare center visitor 710 senses the location of the welfare center visitor and transmits the sensing result to the management server, so that recognition/sensing is possible as described above. As a result of recognizing/sensing the location of the welfare center visitor 710 for a preset time, the management server determines the movement path 730 of the welfare center visitor 710 from the current location of the welfare center visitor 710 to the welfare center path 720 and the preset In the case of matching more than the ratio, it can be predicted that the destination of the welfare center visitor 710 is the welfare center.

More specifically, the management server may set / search / search a plurality of candidate routes 720 from the current location of the welfare center visitor 710 to the welfare center, among which the movement path 730 and the group of the welfare center visitor 710 . It may be determined whether there is a path matching more than a set ratio (eg, 60%). If there is a path 720 that matches more than a preset ratio, it may be predicted that the destination of the welfare center visitor 710 is the welfare center.

When the destination of the welfare center visitor 710 is predicted to be a welfare center, the management server may specify the movement prediction time and movement prediction indoor area of the welfare center visitor 710 based on the hourly indoor movement prediction model, at this time The method of using the indoor movement prediction model for each hour may be applied in the same/similar manner. However, the predicted time of the welfare center visitor 710 may be specified based on the moving speed of the current welfare center visitor 710 . For example, the management server may derive the movement speed by sensing the movement distance per hour, may predict the expected arrival time of the welfare center visitor 710 based on the derived movement speed, and calculate the estimated arrival time of the welfare center visitor It can be specified as the predicted movement time of 710 .

8 is a diagram illustrating an output screen of a terminal that provides a pollution level for each indoor area of a welfare center according to an embodiment of the present invention. 9 is a diagram illustrating a display device according to an exemplary embodiment.

The management server measures the pollution level for each area in real time or periodically using the IoT device installed in the welfare center. You can command IoT devices installed in

Furthermore, the management server may transmit information on the measured pollution level to the terminal included in the indoor environment management server of the welfare center. The terminal may visualize the received pollution level 810 for each zone as shown in FIG. 8 and provide it to the user. Welfare center visitors, guardians of welfare center visitors, and/or welfare center managers can check the pollution level for each area through their terminal, and the welfare center visitors decide whether to move to another area, and the welfare center visitors clean up the contaminated indoor areas It has the effect of being able to take action.

In particular, the management server is detailed information 840 on the degree of pollution, and information about the carbon dioxide concentration, oxygen concentration, temperature, fine dust concentration, ultrafine dust concentration, the number of current occupants and/or visitors who stayed the longest for each zone is also terminal. can be provided as When a user selection input 820 for a specific area 830 is received, the terminal may additionally provide detailed information 840 for the selected area as shown in FIG. 8 .

And/or although not shown in FIG. 1, the indoor environment management system for the welfare center may additionally include a display device 910, and the display device 910 is installed for each zone as shown in FIG. We can provide a variety of information about To this end, as described above, the management server may transmit all the information on the pollution level not only to the terminal but also to the display device 910 , and the display device 910 visualizes the received information and displays/outputs the corresponding information. Information can be provided to visitors located in the area.

In particular, when the display device 910 analyzes the received pollution level information and determines that the pollution level of the currently installed area exceeds a preset threshold, the visitor recognized as staying the longest is shown in FIG. 9 . As described above, it is possible to display/output a message recommending moving to an area with a low current level of pollution along with the current level of pollution. Through this, the indoor environment management system of the welfare center may also perform a function of inducing dispersion of occupants for indoor areas with high pollution levels so that the degree of pollution for each area does not exceed a preset threshold.

10 is a block diagram of a welfare center indoor environment management server according to an embodiment of the present invention.

Referring to FIG. 10 , the management server may include a control unit 1010 , a communication unit 1020 , and a storage unit 1030 .

The control unit 1010 may control the communication unit 1020 and the storage unit 1030 to perform the embodiments proposed in this specification, and may process data inside the management server. Accordingly, the management server of the present specification may be described as being replaced with the control unit 1010 . The control unit 1010 is a CPU (Central Processing Unit), MPU (Micro Processor Unit), MCU (Micro Controller Unit), AP (Application Processor), AP (Application Processor), or any form well known in the art of the present invention. It may be configured to include at least one processor. In particular, the control unit 1010 can machine-learning the indoor movement of visitors to the welfare center by time by performing a preset algorithm, extracting the hourly indoor movement pattern through this, and building an hourly indoor movement prediction model based on this. can

The communication unit 1020 may transmit/receive data by performing communication using at least one wired/wireless communication protocol. In particular, the communication unit 1020 of the management server may communicate with at least one IoT device and/or at least one terminal included in the indoor environment management system of the welfare center.

The storage unit 1030 may store various digital data such as video, audio, photo, moving picture, and application. The storage unit 1030 represents various digital data storage spaces such as a flash memory, a hard disk drive (HDD), and a solid state drive (SSD).

Although not shown in this figure, the terminal included in the indoor environment management system for the welfare center may be configured to include a location sensor unit, a communication unit, a user interface unit, and a control unit.

The position sensor unit may sense the position using at least one sensing means (eg, a global positioning sensor (GPS), etc.). In particular, when the terminal is a terminal of a visitor to a welfare center, the location sensor unit may sense the location of the visitor to the welfare center in real time or periodically, and transmit the sensing result to the control unit.

The communication unit may transmit/receive data by performing communication using at least one wired/wireless communication protocol. In particular, the communication unit of the terminal may transmit the location information of the welfare center visitor sensed by the location sensor unit to the management server under the control of the control unit, and may receive information on the pollution level for each indoor area of the welfare center from the management server.

The user interface unit may perform a function of receiving/detecting/sensing a user input from a user by using at least one sensing unit and outputting various information through the at least one output unit. For example, the sensing means may include a gravity sensor, a geomagnetic sensor, a motion sensor, a gyroscope sensor, an acceleration sensor, an infrared sensor, an inclination sensor, a brightness sensor, an altitude sensor, an olfactory sensor, a temperature sensor, and a depth sensor. , a pressure sensor, a bending sensor, an audio sensor, a video sensor, and at least one of various sensing means such as a touch sensor and a grip sensor. For example, the output means may correspond to a display, a speaker, or the like.

The control unit may control the position sensor unit and the communication unit to perform the embodiments proposed in this specification, and may process data inside the terminal. Accordingly, the terminal of the present specification may be described as being replaced with a control unit. The control unit includes at least a CPU (Central Processing Unit), MPU (Micro Processor Unit), MCU (Micro Controller Unit), AP (Application Processor), AP (Application Processor), or any type of processor well known in the art of the present invention. It may include one.

In addition, the ventilation device included in the indoor environment management system of the welfare center may be configured to include a communication unit, a ventilation module, and a control unit. Here, the ventilation device may correspond to an IoT device that performs a ventilation function among IoT devices included in the indoor environment management system of the welfare center, and may correspond to, for example, the smart window, air purifier, indoor/outdoor air circulator, air conditioner, etc. described above. there is.

The communication unit may transmit/receive data by performing communication using at least one wired/wireless communication protocol. In particular, the communication unit of the ventilation device may receive various ventilation commands, such as a ventilation execution command or a ventilation stop command, from the management server, and transmit them to the control unit. Furthermore, the communication unit may transmit various information on performing the ventilation operation to the management server.

The ventilation module may correspond to a module that performs a ventilation operation according to a command of the controller. For example, the ventilation module may correspond to a window opening/closing module of a smart window, an air cleaning module of an air purifier, an air circulation module in an indoor/outdoor air circulator, an air cleaning module in an air conditioner, and the like.

The control unit may control the communication unit and the ventilation module to perform the embodiments proposed herein, and may process the data inside the ventilation device. Therefore, the ventilation device (or IoT device) of the present specification may be described as being replaced with a control unit. The control unit includes at least a CPU (Central Processing Unit), MPU (Micro Processor Unit), MCU (Micro Controller Unit), AP (Application Processor), AP (Application Processor), or any type of processor well known in the art of the present invention. It may include one.

In addition, the display device included in the indoor environment management system for the welfare center may be configured to include a communication unit, an output unit, and a control unit.

The communication unit may transmit/receive data by performing communication using at least one wired/wireless communication protocol. In particular, the communication unit of the display device may receive various information on pollution levels for each indoor area of the welfare center from the management server, and transmit it to the control unit. In addition, the communication unit of the display device may receive various setting information regarding an output method, output contents, etc. from the management server, and transmit it to the control unit.

The output unit may include at least one output unit to output various information. For example, the output means may correspond to a display, a speaker, or the like. In particular, the output unit may output various information regarding the pollution level of the area in which the display device is installed.

The control unit may control the communication unit and the ventilation module to perform the embodiments proposed herein, and may process data inside the display device. Accordingly, the display device of the present specification may be described as being replaced with a control unit. The control unit includes at least a CPU (Central Processing Unit), MPU (Micro Processor Unit), MCU (Micro Controller Unit), AP (Application Processor), AP (Application Processor), or any type of processor well known in the art of the present invention. It may include one.

Embodiments according to the present invention may be implemented by various means, for example, hardware, firmware, software, or a combination thereof. In the case of implementation by hardware, an embodiment of the present invention provides one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), FPGAs ( field programmable gate arrays), a processor, a controller, a microcontroller, a microprocessor, and the like.

In addition, in the case of implementation by firmware or software, an embodiment of the present invention is implemented in the form of a module, procedure, or function that performs the functions or operations described above, and is stored in a recording medium readable through various computer means. can be recorded. Here, the recording medium may include a program command, a data file, a data structure, etc. alone or in combination. The program instructions recorded on the recording medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the art of computer software. For example, the recording medium includes a magnetic medium such as a hard disk, a floppy disk, and a magnetic tape, an optical recording medium such as a compact disk read only memory (CD-ROM), a digital video disk (DVD), and a floppy disk. magneto-optical media, such as a disk, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions may include high-level language codes that can be executed by a computer using an interpreter or the like as well as machine language codes such as those generated by a compiler. Such hardware devices may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

In addition, the device or terminal according to the present invention may be driven by a command to cause one or more processors to perform the functions and processes described above. For example, such instructions may include interpreted instructions, such as script instructions, such as JavaScript or ECMAScript instructions, or executable code or other instructions stored on a computer-readable medium. Furthermore, the device according to the present invention may be implemented in a distributed manner over a network, such as a server farm, or may be implemented in a single computer device.

Further, a computer program (also known as a program, software, software application, script or code) mounted on the device according to the invention and executing the method according to the invention includes compiled or interpreted language or a priori or procedural language. It can be written in any form of programming language, and can be deployed in any form, including stand-alone programs, modules, components, subroutines, or other units suitable for use in a computer environment. A computer program does not necessarily correspond to a file in a file system. A program may be placed in a single file provided to the requested program, or in multiple interacting files (eg, files that store one or more modules, subprograms, or portions of code), or portions of files that hold other programs or data. (eg, one or more scripts stored within a markup language document). The computer program may be deployed to be executed on a single computer or multiple computers located at one site or distributed over a plurality of sites and interconnected by a communication network.

Although each drawing has been described separately for convenience of description, it is also possible to design to implement a new embodiment by merging the embodiments described in each drawing. In addition, the present invention is not limited to the configuration and method of the described embodiments as described above, but the above-described embodiments are configured by selectively combining all or part of each embodiment so that various modifications can be made. it might be

In addition, although preferred embodiments have been illustrated and described above, the present specification is not limited to the specific embodiments described above, and those of ordinary skill in the art to which the specification pertains without departing from the gist of the claims Various modifications are possible by a person, of course, and these modifications should not be individually understood from the technical spirit or perspective of the present specification.

110: welfare center
120: IoT device
130: Welfare center indoor environment management server
140: terminal

Claims (18)

In the method for managing the indoor environment of a welfare center,
recognizing the indoor movement of the welfare center visitor by time by sensing the location of the welfare center visitor;
extracting an hourly indoor movement pattern of the welfare center visitor by machine learning the recognized indoor movement of the visitor to the welfare center by time, and building an hourly indoor movement prediction model based on the extracted indoor movement pattern by time;
specifying a time at which the welfare center visitor is expected to move and an indoor area of the welfare center based on the hourly indoor movement prediction model of the welfare center visitor;
recognizing the current capacity of the specified area;
Determining whether ventilation is necessary as the welfare center visitors are additionally accommodated in the specified area based on the recognized current capacity; and
If it is determined that the ventilation is necessary, before the time it is expected that the visitor to the welfare center will move to the specified area, performing ventilation of the specified area in advance; Including, a welfare center indoor environment management method. The method of claim 1,
predicting whether the destination of the welfare center visitor is the welfare center by sensing the location of the welfare center visitor in real time when the location of the welfare center visitor is recognized outside the welfare center; Further comprising, a welfare center indoor environment management method. 3. The method of claim 2,
The step of predicting whether the destination of the welfare center visitor is the welfare center,
predicting that the destination of the welfare center visitor is the welfare center when the movement path of the welfare center visitor matches the path from the current location of the welfare center visitor to the welfare center by more than a preset ratio; Including, a welfare center indoor environment management method. 3. The method of claim 2,
When it is predicted that the destination of the welfare center visitor is the welfare center, the step of specifying the movement prediction time and movement prediction indoor area of the welfare center visitor based on the hourly indoor movement prediction model is performed, a welfare center indoor environment management method. 5. The method of claim 4,
The step of specifying the expected movement time of the visitor of the welfare center,
deriving the moving speed of the visitor to the welfare center; and
specifying the expected arrival time of the welfare center visitor based on the derived movement speed as the movement predicted time of the welfare center visitor; Including, a welfare center indoor environment management method. The method of claim 1,
Before the predicted time, the step of performing the ventilation of the specified area in advance,
deriving an estimated time required to ventilate the specified area; and
performing ventilation of the specified area at a time earlier by the expected required time from the time when the visitor of the welfare center is expected to move; Including, a welfare center indoor environment management method. The method of claim 1,
When the visitor of the welfare center is currently located in the first area of the interior of the welfare center, the step of specifying the movement prediction time and the movement prediction indoor area of the welfare center visitor,
specifying a first time and a second area in which the welfare center visitor is expected to move based on the hourly indoor movement prediction model of the welfare center visitor; Including, a welfare center indoor environment management method. The method of claim 1,
comparing the hourly indoor movement pattern of the welfare center visitor with the hourly indoor movement pattern of a plurality of other visitors; and
grouping the visitor to the welfare center with other visitors whose pattern matches more than a preset ratio; Further comprising, a welfare center indoor environment management method. 9. The method of claim 8,
The step of building the indoor movement prediction model for each hour is,
adding the current location of another visitor belonging to the same group as the visitor of the welfare center as a prediction criterion of the hourly indoor movement prediction model; Including, a welfare center indoor environment management method. 10. The method of claim 9,
The hourly indoor movement pattern set as the prediction criterion of the hourly indoor movement prediction model and the current location of other visitors belonging to the same group are given different weights, respectively, used to specify the movement prediction time and movement prediction area of the welfare center visitor How to manage the indoor environment of a welfare center. The method of claim 1,
Measuring the indoor air pollution level for each area of the welfare center in real time or periodically; and
performing ventilation of the contaminated area when there is a contaminated area in which the measured indoor air pollution level exceeds a preset value; Further comprising, a welfare center indoor environment management method. 12. The method of claim 11,
transmitting information on the contaminated area to at least one of a preset terminal and a display device; Further comprising, a welfare center indoor environment management method. 13. The method of claim 12,
transmitting information on a visitor having the longest stay among a plurality of visitors to a welfare center located in the contaminated area to at least one of the preset terminal and the display device; Further comprising, a welfare center indoor environment management method. The method of claim 1,
The step of determining whether the ventilation is necessary,
determining that the ventilation is necessary when the indoor air pollution degree of the specified area is expected to exceed a preset range when the welfare center visitor is additionally accommodated; Including, a welfare center indoor environment management method. The method of claim 1,
The step of performing the ventilation,
The window control device opens the window, or the air purifier performs an air cleaning operation; Including, a welfare center indoor environment management method. The method of claim 1,
The step of building the indoor movement prediction model for each hour is,
extracting an image of the indoor movement of the visitor of the welfare center sensed for the preset time; and
extracting feature points from the extracted image to extract the indoor movement pattern for each time; Including, a welfare center indoor environment management method. In the welfare center indoor environment management system,
terminal; as,
For sensing the location of the visitor to the welfare center, a location sensor unit;
a first communication unit for performing communication using at least one communication protocol;
a first control unit for controlling the position sensor and the first communication unit; comprising, and
Welfare center indoor environment management server; as,
a second communication unit for performing communication using the at least one communication protocol;
a storage unit for storing data;
a second control unit for controlling the second communication unit and the storage unit; comprising, and
ventilation equipment; as,
a third communication unit for performing communication using the at least one communication protocol;
To perform a ventilation operation, ventilation module;
A third control unit for controlling the third communication unit and the ventilation unit; including,
The second control unit,
By using the second communication unit to receive the indoor movement by time of the visitor of the welfare center from the terminal, and machine learning the indoor movement of the visitor of the welfare center by time,
By extracting the hourly indoor movement pattern of the welfare center visitors through the machine learning, an hourly indoor movement prediction model for the welfare center visitors is constructed,
Based on the hourly indoor movement prediction model of the welfare center visitors, specifying the time and the welfare center indoor area where the welfare center visitors are expected to move,
Recognize the current capacity of the specified area;
Based on the recognized current capacity, it is determined whether ventilation is necessary as the welfare center visitors are additionally accommodated in the specified area,
When it is determined that the ventilation is necessary, before the time when the welfare center visitor is expected to move to the specified area, a command to perform ventilation of the specified area in advance is transmitted to the ventilation unit using the second communication unit, the welfare center indoor environmental management system. In the welfare center indoor environment management server,
a communication unit configured to perform communication using at least one communication protocol;
a storage unit for storing data; and
a control unit controlling the communication unit and the storage unit; includes,
The control unit is
By using the communication unit to receive the indoor movement of the welfare center visitor by time from the terminal of the welfare center visitor, machine learning the hourly indoor movement of the welfare center visitor,
By extracting the indoor movement pattern for each hour of the visitor to the welfare center through the machine learning, an hourly indoor movement prediction model for the visitor of the welfare center is constructed,
Based on the hourly indoor movement prediction model of the welfare center visitors, specifying a time and a welfare center indoor area for which the welfare center visitors are expected to move,
Recognize the current capacity of the specified area;
Based on the recognized current capacity, it is determined whether ventilation is necessary as the welfare center visitors are additionally accommodated in the specified area,
When it is determined that the ventilation is necessary, before the time when the welfare center visitor is expected to move to the specified area, a command to perform ventilation of the specified area in advance is transmitted to the ventilation unit using the second communication unit, the welfare center indoor environment management server.

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