KR102270348B1 - Building energy management method and system using artificial intelligence using the number of residents for cost reduction - Google Patents

Abstract

A building energy management method and system using artificial intelligence using the number of residents for cost reduction are disclosed. A building energy management method and system using artificial intelligence using the number of residents for cost reduction according to an aspect of the present invention includes the steps of: calculating the number of resident people in the building by counting the number of people entering and leaving the building; determining whether the number of residents is less than a set threshold value; if it is less than the set threshold, calculating the energy use set value of management devices by artificial intelligence corresponding to the number of residents; and generating a simulation when applying the energy use set value and providing it to a manager terminal.

Description

Building energy management method and system using artificial intelligence using the number of residents for cost reduction

The present invention relates to building energy management, and more particularly, to a building energy management method and system by artificial intelligence using the number of resident people for cost reduction.

Office buildings in recent years have become large and highly functional, and various facilities such as air conditioning, sanitation, electric power, crime prevention, and disaster prevention are complexly combined. A Building Automation System (BAS) is being built to more conveniently monitor and control equipment that uses energy according to these various facilities. Recently, an energy management solution (BEMS: Building) for energy efficiency of each facility is being built. Energy Management System) is being built together.

The energy management solution is a holistic system that provides real-time control to minimize energy costs by basically monitoring the energy use status of each facility, and analyzes energy consumption patterns for quick and effective strategic decision making.

However, due to the increase in the number of equipment to be managed in recently enlarged buildings, it is practically difficult to monitor energy use for various equipment and control for efficient use of energy.

Republic of Korea Patent Publication No. 10-2005-0081019 (Intelligent control information device for optimal management of office building facilities and energy saving)

Therefore, the present invention has been devised to solve the above-mentioned problems, and it is possible to save energy by performing appropriate control according to the number of people resident in a building, and to manage building energy by artificial intelligence using the number of resident people for cost reduction. To provide a method and system.

Other objects of the present invention will become clearer through preferred embodiments described below.

According to an aspect of the present invention, by counting the number of people entering and leaving the target building, calculating the number of resident in the building; determining whether the number of resident persons is less than a set threshold value; calculating a set value of energy use of management equipment by artificial intelligence corresponding to the number of resident people when it is less than the set threshold; and generating a simulation when the energy use set value is applied and providing it to an administrator terminal. A method for managing building energy by artificial intelligence using the number of resident people for cost reduction and a recording medium recording a program for executing the method are provided.

Here, the number of resident is calculated based on information from an access control device installed at each entrance and information from an image analysis device that analyzes an image by a camera at the entrance, but a terminal device acquired by a short-distance communication device installed in a building It is possible to verify and correct the number of resident people by using the number of their beer houses.

In addition, based on the movement amount and movement history of the elevator, the number of resident persons is verified and corrected.

In addition, the set threshold value is set based on the average number of residents and energy use history, but a weight is applied with reference to weather information.

In addition, when an application command for the energy use set value is input from the manager terminal, the energy use set value is applied to each management equipment, but until the number of resident people becomes more than the set threshold value by driving artificial intelligence Dynamically change the setting value of each management equipment in response to the changed number of resident personnel.

In addition, when the number of resident people is greater than or equal to the set threshold, the energy saving value by the artificial intelligence is calculated and provided to the manager terminal.

In addition, based on the target reduction cost for a predetermined period obtained in advance from the manager terminal, the energy use set value of the management equipment is calculated.

In addition, the energy use setting value is determined by analyzing the target building information including the usage form, structure, and size of the target building by artificial intelligence learned based on information on a plurality of buildings.

According to another aspect of the present invention, the number of people calculation unit for calculating the number of resident based on the information from the access confirmation device for counting the number of people passing through the entrance; an artificial intelligence unit that determines whether the number of resident people is less than a set threshold, and calculates a set value of energy use of management equipment by artificial intelligence corresponding to the number of resident when it is less than the set threshold; a simulation unit for generating a simulation when the energy use set value is applied; And there is provided a building energy management system by artificial intelligence using the number of resident people for cost reduction, including an interface unit that provides information about the simulation to a manager terminal.

Here, the number of people calculation unit may verify and correct the number of resident by using the number of destinations of the terminal devices acquired by the short-distance communication device installed in the building.

In addition, when an application command for the energy use set value is inputted from the manager terminal, the artificial intelligence unit applies the energy use set value to each management equipment, but changes until the number of resident people exceeds the set threshold value Dynamically change the setting value of each management equipment in response to the number of permanent residents.

In addition, the artificial intelligence unit determines the energy use setting value by analyzing the target building information including the usage type, structure, and size of the target building based on the information learned based on the information on a plurality of buildings.

According to the present invention, it is possible to reduce costs by checking the number of people residing in a building and proposing an optimized energy use method.

1 is a block diagram schematically showing the entire system for building energy management by artificial intelligence using the number of resident people according to an embodiment of the present invention.
Figure 2 is a block diagram showing the configuration of a building energy management system using artificial intelligence in an embodiment of the present invention.
Figure 3 is a flow chart showing a building energy management process by artificial intelligence using the number of resident for cost reduction according to an embodiment of the present invention.
Figure 4 is an exemplary view showing a building energy usage status monitoring interface screen displayed on the manager terminal according to an embodiment of the present invention.
5 is a flowchart illustrating a building energy use control process by artificial intelligence corresponding to the number of resident persons according to an embodiment of the present invention.
6 is a flowchart illustrating a process of calculating the number of residents in a building according to an embodiment of the present invention.

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to a specific embodiment, it should be understood to include all modifications, equivalents and substitutes included in the spirit and scope of the present invention.

When a component is referred to as being “connected” or “connected” to another component, it is understood that the other component may be directly connected or connected to the other component, but other components may exist in between. it should be On the other hand, when it is said that a certain element is "directly connected" or "directly connected" to another element, it should be understood that no other element is present in the middle.

Terms such as first, second, etc. may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, terms such as a first threshold value and a second threshold value, which will be described later, may be preset as threshold values that are substantially different or partially have the same value. Since there is room, the terms 1, 2, etc. will be used together for convenience of classification.

The terms used herein are used only to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In this specification, terms such as "comprises" or "have" are intended to designate that the features, numbers, steps, operations, components, parts, or combinations thereof described in the specification exist, but one or more other features It should be understood that this does not preclude the existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

In addition, the components of the embodiment described with reference to each drawing are not limitedly applied only to the embodiment, and may be implemented to be included in other embodiments within the scope of maintaining the technical spirit of the present invention, and also Even if the description is omitted, it is natural that a plurality of embodiments may be re-implemented as a single integrated embodiment.

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

1 is a block diagram schematically showing the entire system for building energy management by artificial intelligence using the number of resident people according to an embodiment of the present invention, and FIG. 2 is an embodiment of the present invention using artificial intelligence. It is a block diagram showing the configuration of a building energy management system.

Referring to FIG. 1 , the entire system includes management target equipment (10-1, 10-2, ..., 10-n, hereinafter referred to as 10), an access confirmation device 20, and a building energy management system (BEMS, 30). ), a building information DB and a manager terminal 50 .

The equipment to be managed 10 is equipment that uses energy such as electric power according to various facilities such as air conditioning, sanitation, electric power, crime prevention, and disaster prevention, and refers to equipment for monitoring and controlling the state of energy use.

That is, the building energy management system (BEMS, 30) monitors the energy use status of the management target equipment 10, and controls the energy use of the management target equipment (10). For example, the building energy management system 30 monitors the hourly energy usage of the air conditioning system, and controls the air conditioning system not to be driven at night. Here, the target building in which the building energy management system 30 is operated may be any building using energy. In other words, it will be apparent to those skilled in the art that the building energy management system 30 can be applied to all buildings, such as buildings, houses, and schools, using energy.

The manager terminal 50 is a terminal device for a manager for accessing the building energy management system 30 to monitor or control the usage status of the management target equipment 10 . The building energy management system 30 provides an interface for monitoring the energy use status and controlling the management target equipment 10 to the manager terminal 50 .

The access confirmation device 20 is a means for counting the number of people residing in the building (hereinafter referred to as the number of resident people), and is installed at the entrance or the like to check the number of people entering the building or going out. According to an example, the access check device 20 may be an access control device installed at each entrance. For example, the access control device may count the number of people entering and leaving by recognizing the employee card held by the employees. Alternatively, the access confirmation device may be an image analysis device for counting the number of people entering and exiting by analyzing an image by a camera provided at the entrance by face recognition.

The building energy management system 30 may use the number of resident personnel to control the energy use of the equipment 10 to be managed. The building energy management system 30 uses artificial intelligence to determine an energy use method suitable for the number of resident people, and operates each management target equipment 10 accordingly.

The artificial intelligence of the building energy management system 30 is based on the number of occupants of the target building by deep-learning learning using information in the building information DB in which information about various buildings (building size, energy use history, etc.) is stored. Determine the optimal way to use energy. Recently, as the number of non-resident personnel is increasing due to the development of online business such as video conferencing, it is necessary to minimize unnecessary energy waste by controlling the management target equipment 10 to reduce energy consumption when the number of resident personnel in the building decreases. .

Referring to FIG. 2 showing the configuration of such a building energy management system 30, it includes a communication unit 210, a storage unit 220, and a control unit 230, but the control unit 230 includes a person counting unit 231, It may include an artificial intelligence unit 232 , a simulation unit 233 , and an interface unit 234 . Here, it will be apparent to those skilled in the art that each functional unit of the control unit 230 is not necessarily implemented in hardware, but may also be implemented as software such as an application program.

The number of people calculating unit 231 of the control unit 230 calculates the number of resident based on the information received by the communication unit 210 from one or more access confirmation devices for counting the number of people passing through the entrance.

The artificial intelligence unit 232 determines whether the number of resident people is less than a set threshold, and if it is less than the set threshold, calculates a set value of energy use of management equipment by artificial intelligence corresponding to the number of resident people, and, if necessary, an energy set value Control the equipment to be managed according to The method will be described in detail later with reference to the related drawings ( FIGS. 3 and 6 ).

The simulation unit 233 generates a simulation when the energy use set value is applied, and the interface unit 234 performs a function of providing an interface screen on which information about the simulation is displayed to the connected manager terminal 50. . In addition, it is natural that the interface unit 234 may provide monitoring information such as the energy use status and history of the management target devices to the manager terminal 50 and may also provide an interface for controlling the management target devices 10 . .

In addition, although not shown in the drawing, the control unit 230 may further include an equipment scanning unit (not shown) that scans items to be managed according to each facility and function that uses energy in the target building. That is, when the building energy management system 30 is installed in the target building, data collected from the management target equipment 10 is analyzed to identify the type and function of each management target equipment. And, the management target item can be subdivided not only the management target equipment 10 but also each function in the corresponding equipment if necessary. For example, in the case of elevator equipment as the management target equipment 10, the management target items may be subdivided into [elevator driving power], [elevator lighting power], and [elevator air conditioner power].

In addition, the interface unit 234 of the control unit 230 may provide a management setting interface for selecting one or more management items to be managed from among the management target items to the manager terminal 50 . That is, a fixed interface may be provided to monitor all the scanned management target items, but the administrator selects only the management items that he/she wants to manage, and also supports directly decorating an easy-to-manage interface.

Setting information such as management items and interface screen configuration information set by the administrator is stored in the storage unit 220 . In addition, as information about the target building, the storage unit 220 may store information on items to be managed, the type of use of the target building, size, structure, average number of resident, and the like.

In addition, the interface unit 234 provides monitoring information such as energy use status for additional management items selected by the artificial intelligence unit 232 as a monitoring interface screen in addition to the management items. According to an example, when the monitoring request is inputted, at least any one of the management target items that is determined to be necessary for monitoring by the artificial intelligence unit 232 is selected as an additional management item, except for the management item, the interface unit 234 configures the interface screen so that monitoring information for additional management items is exposed to the manager.

To this end, the artificial intelligence unit 232 monitors the energy use pattern of the items to be managed, selects an abnormal symptom is detected as an additional management item, so that the manager can check it. Alternatively, the artificial intelligence unit 232 selects a similar type of equipment having a similar energy use pattern as an additional management item with reference to the analysis information of the type of management item and the energy use pattern. For example, when the usage of management item 1 suddenly skyrocketed, the usage status is provided as monitoring information by selecting as additional management items mainly those with increased usage among devices similar to management item 1.

According to this embodiment, any one or more of the management items not selected by the manager are dynamically monitored by artificial intelligence and exposed to the manager, so that the manager directly manages only the main management items set by the manager and The rest can be provided with high reliability other than convenience due to being monitored by artificial intelligence.

In addition, the control unit 230 may further include an equipment control unit (not shown) for controlling the management target equipment 10 , and the equipment control unit controls the management target equipment 10 according to a setting from the manager terminal 50 . Alternatively, real-time control is performed according to control information input in real time from the manager terminal 50 . In addition, according to an example, when control information is generated by the artificial intelligence unit 232, real-time control (or after confirmation by the administrator) is performed. Since the control of the managed equipment 10 in the BEMS 30 will be apparent to those skilled in the art, a detailed description of the control itself will be omitted.

And, according to an example, the billing process according to the use of the BEMS 30 can also be dynamically performed. The billing processing unit (not shown) of the control unit sets the monitoring cost according to the number and type of management items. That is, the usage fee may vary depending on how many management items are set, and may also vary depending on the type of management items. In addition, the number of additional management items may be determined by using the information on the monitoring cost and the number of monitoring requests. For example, the artificial intelligence unit 232 selects more additional management items as the monitoring fee is higher and the number of monitoring requests is lower. In addition, the billing processing unit of the control unit 230 may process additional billing in preparation for the energy saved by the control of the management target equipment 10 by the artificial intelligence unit 232 . For example, when control of recommended management items according to the recommended control information is performed, the estimated energy saving cost is calculated, and a part of the calculated estimated energy saving cost (eg, 10%, etc.) is used for AI monitoring. It is billed as an expense. According to this embodiment, energy is saved by artificial intelligence monitoring and control and unnecessary waste of cost can be prevented, and by charging only a portion of the saved cost as a usage fee, the manager can reduce energy use cost and also It provides the advantage of being able to handle the artificial intelligence usage fee at a reduced cost.

3 is a flowchart illustrating a building energy management process by artificial intelligence using the number of resident people for cost reduction according to an embodiment of the present invention, and FIG. 4 is a building displayed on a manager terminal according to an embodiment of the present invention. It is an exemplary diagram showing an energy use status monitoring interface screen.

Referring to FIG. 3 , the BEMS 30 calculates the number of residents in the building by counting the number of people entering and leaving the target building ( S310 ).

Then, it is determined whether the number of resident people is less than a set threshold value (S320).

The set threshold is set based on the average number of residents and energy use history. For example, if 500 people reside in the target building on average and the smallest number of residents is 200, then 350 people, the median value, are set as the set threshold. Then, with reference to the energy use history, the current energy use pattern and the average use pattern are compared, and the comparison result is reflected in the set threshold value and changed. For example, if the energy and power currently used is greater than the average usage pattern, 385 people multiplied by a constant of 1.1 becomes the set threshold. Of course, this is only an example, and all methods of calculating the set threshold value based on the history of the number of resident people and the history of energy use at that time can be equally applied.

In addition, a weight may be applied to the set threshold with reference to weather information (or weather forecast, etc.) of the day. For example, if it is summer and it is a rainy day, it is necessary to increase the driving amount of the air conditioner and the like more than on a non-rainy day, so the set threshold is set higher.

If the number of resident personnel is greater than or equal to the set threshold, artificial intelligence control on energy use is not performed, and, according to an example, monitoring information on the energy use status of target equipment (or the above-mentioned management items) is generated and the manager can check it. to be there (S330).

On the other hand, if the number of resident people is less than the set threshold, an energy use set value corresponding to the number of resident people is calculated (S340).

The number of people residing in the building may change due to holidays of companies residing in the building, or an increase in the number of telecommuters. As described above, in recent years, as the number of non-resident personnel is increasing due to the development of online businesses such as video conferencing, when the number of resident personnel in a building decreases, unnecessary energy waste is minimized by controlling the management target equipment 10 to reduce energy consumption. Needs to be.

To this end, the energy use set value of each management item for controlling the energy use of various management target equipment 10 is calculated in order to use appropriate energy according to the number of resident personnel.

Here, according to an example, an energy use setting value is determined by analyzing the target building information including the usage type, structure, and size of the target building by artificial intelligence learned based on information on a plurality of buildings.

According to another example, based on the target reduction cost for a predetermined period acquired in advance from the manager terminal 50, the energy use set value of the management equipment may be calculated. In other words, it is to calculate the set value of energy use that allows the manager to reach the target amount of energy saving.

Then, a simulation is generated when the calculated energy use set value is applied and provided to the manager terminal (S350). For example, by changing the wind strength from strong to weak while maintaining the set temperature of the air conditioner, the amount of energy saved in time units is graphed and provided to the manager terminal 50 .

Accordingly, by checking the simulation, the manager can control the management items in a certain way to save energy, and also can immediately check the amount of energy (and cost) to be saved.

Referring to FIG. 4 showing an interface screen displayed on the manager terminal 50, when there are four management items, not only monitoring information 410 of each management item, but also management by artificial intelligence in one screen area 420 As contents, the number of permanent residents and potential energy saving figures are displayed. The administrator can check the energy saving method and its numerical value in more detail through the simulation [View Details], and also can apply the control suggested by the AI manager through [Apply].

5 is a flowchart illustrating a building energy use control process by artificial intelligence corresponding to the number of resident persons according to an embodiment of the present invention.

Referring to FIG. 5 , the BEMS 30 provides an energy use set value to the manager terminal 50 ( S510 ), and determines whether an application command for the set value is input from the manager terminal 50 ( S520 ). ). In other words, it is to provide simulation information that can save energy, and to determine whether a command to perform control is input from the manager with the corresponding contents.

When the application command is not input, according to an example, the second energy use set value is generated and information about the simulation is provided again to the manager terminal 50 ( S530 ). For example, an energy use set value that can further increase the amount of energy that can be saved may be provided, and a plurality of second energy use set values (ie, various simulations are generated and provided) may be provided.

On the other hand, when an application command is input, each management target device 10 is controlled to correspond to the energy use set value (S540).

In addition, the set value of energy use is applied to each management device, but by driving artificial intelligence, the set value of each management equipment can be dynamically changed in response to the number of resident people changing until the number of resident people exceeds the set threshold value. .

Accordingly, periodically (or whenever the number of resident people is changed), the number of resident people and the set threshold are compared (S550), and while the number of resident people is less than the set threshold, the energy use setting value is changed according to the number of resident people. The management target equipment 10 is controlled in real time (S560).

And, when the number of resident people exceeds the set threshold, the energy value saved by artificial intelligence control is calculated and provided to the manager terminal 50 (S570).

Due to this, the manager can immediately check the amount of energy saved by the artificial intelligence control, so that the efficiency can be recognized.

6 is a flowchart illustrating a process of calculating the number of residents in a building according to an embodiment of the present invention.

Referring to FIG. 6 , the BEMS 30 according to the present embodiment calculates the number of residents based on information from an access control device installed at each entrance and information from an image analysis device that analyzes an image by a camera at the entrance. do (S610).

Then, the number of destinations of the terminal devices acquired by the short-distance communication device installed in the building is checked (S620). In recent years, almost everyone carries a terminal device such as a smart phone, and most smart phones have a short-range communication function such as Wi-Fi or Bluetooth, and at least one function is driven. A short-distance communication function such as Wi-Fi or Bluetooth basically performs a function of searching for an external short-range communication device, and the signal transmitted for the search includes information on the MAC address of the corresponding terminal device. Accordingly, the number of residents can be estimated based on the number of destinations of the terminal devices detected from signals collected by a plurality of short-distance communication devices installed in the building. Of course, since there may be terminal devices that do not drive the short-distance communication function, it cannot be called an accurate number, but the reliability can be increased due to statistical information for a long period of time.

Therefore, verification of the number of resident people calculated using the number of acquired breweries is performed, and the number of resident people can be corrected if necessary (S630). For example, assuming that the calculated number of resident people is 300, the number of breweries is 270, and the average number of breweries is about 90% of the calculated number of resident people, the verification can be processed as a success.

Although not shown in the drawings, according to another example, the number of resident persons may be verified and corrected based on the movement amount and movement history of the elevator provided in the building. For example, as the amount of movement of the elevator increases, and the movement to the floor where the movement history is automatically set rather than by a user call takes up a greater proportion, the number of resident is likely to be small. In addition, based on the number of vehicles in the parking lot, electric light power consumption, toilet water usage, etc., the number of resident people can be predicted relatively, and the number of resident people calculated by integrating this information can be verified or somewhat corrected.

The building energy management method by artificial intelligence using the number of resident people for cost reduction according to the present invention described above may be implemented as a computer-readable code on a computer-readable recording medium. The computer-readable recording medium includes any type of recording medium in which data that can be read by a computer system is stored. For example, there may be a read only memory (ROM), a random access memory (RAM), a magnetic tape, a magnetic disk, a flash memory, an optical data storage device, and the like. In addition, the computer-readable recording medium may be distributed in computer systems connected through a computer communication network, and stored and executed as readable codes in a distributed manner.

In addition, although the above has been described with reference to the preferred embodiment of the present invention, those of ordinary skill in the art can use the present invention within the scope not departing from the spirit and scope of the present invention described in the claims below. It will be understood that various modifications and variations are possible.

10: equipment to be managed
20: access confirmation device
30: Building Energy Management System
40: building information database
50: user terminal

Claims (13)

In the building energy management method method performed in the building energy management system,
Calculating the number of resident in the building by counting the number of people entering and leaving the target building based on information from the access control device installed in each entrance and information from the image analysis device that analyzes the image by the camera of the entrance;
verifying and correcting the number of resident based on the amount of movement of the elevator provided in the target building, the number of vehicles in the parking lot, the amount of electricity used for electric light, and the amount of water used in the toilet;
determining whether the number of resident persons is less than a set threshold value;
calculating a set value of energy use of management equipment by artificial intelligence corresponding to the number of resident people when it is less than the set threshold;
generating a simulation when the energy use set value is applied and providing it to an administrator terminal;
When an application command for the energy use set value is input from the manager terminal, the energy use set value is applied to each management equipment, but by driving artificial intelligence, the number of resident people is changed until the set threshold value or more dynamically changing the set value of each management equipment in response to the number of resident persons; and
When the number of resident people is greater than or equal to the set threshold, calculating the energy saving value by the artificial intelligence, and charging a part of the calculated saving energy value as an AI management cost, resident for cost reduction Building energy management method by artificial intelligence using the number of people.
delete delete The method according to claim 1,
The set threshold value is set based on the average number of resident people and energy use history, and weight is applied by referring to weather information. Building energy management method by artificial intelligence using the number of resident people for cost reduction.
delete delete The method according to claim 1,
Building energy management method by artificial intelligence using the number of resident people for cost reduction, which calculates the energy use set value of the management equipment based on the target reduction cost for a predetermined period acquired in advance from the manager terminal.
The method according to claim 1,
By analyzing the target building information including the usage type, structure, and size of the target building by artificial intelligence learned based on information about a plurality of buildings, the number of resident people to determine the energy use setting value for cost reduction Building energy management method by artificial intelligence using
A recording medium comprising computer-executable instructions such as an application or program module executed by a computer for performing the method of claim 1 .
The number of residents in the building is calculated by counting the number of people entering and leaving the target building based on the information from the access control device installed at each entrance and the information from the image analysis device that analyzes the image by the camera at the entrance, and the target building a number of persons calculation unit for verifying and correcting the number of resident persons based on the amount of movement of the elevator provided in the parking lot, the number of vehicles in the parking lot, the amount of electric light used, and the amount of water used in the toilet;
an artificial intelligence unit that determines whether the number of resident people is less than a set threshold, and calculates a set value of energy use of management equipment by artificial intelligence corresponding to the number of resident when it is less than the set threshold;
a simulation unit for generating a simulation when the energy use set value is applied; and
Including an interface unit for providing information about the simulation to the manager terminal,
When an application command for the energy use set value is input from the manager terminal, the artificial intelligence unit applies the energy use set value to each management equipment, and drives the artificial intelligence so that the number of resident is greater than or equal to the set threshold value The set value of each management equipment is dynamically changed in response to the number of resident personnel being changed until Building energy management system by artificial intelligence using the number of resident for cost reduction, which charges a part of it as artificial intelligence management cost.
delete delete 11. The method of claim 10,
The artificial intelligence unit determines the energy use setting value by analyzing the target building information including the usage form, structure, and size of the target building based on the information learned based on the information on a plurality of buildings, for cost reduction Building energy management system by artificial intelligence using the number of resident people.

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