Energy saving type building management system capable of optimizing indoor environment using artificial intelligence

Abstract

The present invention detects whether windows installed at multiple points in a building are open or closed, and comprises: a window sensor that transmits information regarding windows that open or close an indoor area of ​​the building to a management server according to the control of a management server connected via IoT communication; an indoor fine dust sensor installed inside the building that measures indoor fine dust concentration, generates indoor fine dust information including fine dust concentration, and transmits said indoor fine dust information to a management server connected via IoT communication; an outdoor fine dust sensor installed outside the building that measures outdoor fine dust concentration, generates outdoor fine dust information including fine dust concentration, and transmits said outdoor fine dust information to a management server connected via IoT communication; an indoor temperature sensor installed inside the building that measures indoor temperature, and transmits said indoor temperature information to a management server connected via IoT communication; and an outdoor temperature sensor installed outside the building that measures outdoor temperature, and transmits said outdoor temperature information to a management server connected via IoT communication. A human body sensor for detecting the presence and number of people staying inside a building, and transmitting a human detection signal to a management server connected via IoT communication so that the indoor environment is controlled according to the presence or absence of people inside the building; an outdoor air intake sensor for detecting the amount of outdoor air entering through the window, and transmitting outdoor air quantity information to a management server connected via IoT communication so that the opening and closing of the window can be appropriately controlled according to the real-time air intake amount; and a management server that controls air circulation devices and air conditioning devices by classifying them into essential or non-essential operating equipment so that the indoor environment maintains the indoor and outdoor fine dust concentration, indoor and outdoor temperature, and humidity within an optimal range according to time and the presence or absence of people inside, and controls the operation of the window introducing outdoor air by identifying it.The present invention discloses an intelligent building management system capable of changing the building environment and saving energy based on artificial intelligence, comprising: an AI server; a data storage unit that receives and stores detection information provided by the indoor / outdoor fine dust sensor, indoor / outdoor temperature sensor, human body sensor, and outdoor air intake sensor, as well as control operation information transmitted by the management server, wherein the detection information and control operation information are stored by matching them with time information and also matched with the behavioral patterns of indoor occupants; a data analysis unit that utilizes the detection information and control operation information stored in the data storage unit to learn using machine learning analysis techniques to find optimal control conditions, continuously upgrades the optimal control conditions, and provides them to the management server in real time; and a control mode providing unit that provides the optimal control mode to the management server in real time regarding the timing, status, and duration of operation of windows, air circulation devices, and air conditioning devices by reflecting time information based on the optimal control conditions provided by the data analysis unit.

Description

Technology Field

[0001] The present invention relates to an intelligent building management system capable of artificial intelligence-based building environment changes and energy savings. Background Technology

[0003] Recently, the need for energy management is increasing due to record-breaking oil prices and the exponential increase in electricity consumption.

[0004] To manage building energy, it is necessary to manage both the energy supply and energy consumption aspects. Building energy sources include electricity, gas, and water, and methods of supplying this energy include electrical facilities and heat source facilities. Gas is converted into thermal energy and supplied to the building for heating and cooling.

[0005] Parts that consume the supplied energy include lighting, electric heating, and heat source facilities for electricity; heating and cooling spaces for thermal energy; and toilets and showers for water.

[0006] However, when controlling heating and cooling systems using sensing, there was a problem in that it took a considerable amount of time to operate the system to reach a certain level of comfort.

[0007] In addition, if control is performed according to a preset time, unnecessary operation occurs, or there is the inconvenience of having to separately control the time that changes according to the occupant's occupancy pattern.

[0008] In addition, as the importance of the indoor environment has recently been highlighted, automatic air quality control systems are being widely used. These systems measure indoor air pollution levels to capture and remove fine or ultrafine dust and reduce carbon dioxide concentrations, and then operate air purification and ventilation devices in response to purify and ventilate the indoor air, thereby automatically controlling the air quality of the indoor space to a level above a certain standard.

[0009] However, conventional indoor air quality automatic control systems have only adhered to the basic configuration of measuring air pollution levels in indoor spaces and automatically controlling air quality by driving air purifiers or ventilation devices, and have had the problem that air quality control and power control must be configured separately because they are not integrated with the control of power appliances.

[0010] Specific prior art related to building energy management includes the following technologies.

[0011] Korean Patent Publication No. 10-2021-0089458 relates to a building facility energy control system comprising: a library that receives and stores information regarding each facility from a DDC device that controls multiple facilities installed within a building; a modeling module that reads information regarding the facilities from the library, performs simulation modeling for the facilities, and calculates energy consumption; a control module that generates control commands for the facilities based on the energy consumption calculated by the modeling module and provides them to the DDC device; and a correction module that calculates the error rate between the actual energy consumption of the facilities and the calculated energy consumption, and corrects information regarding the facilities. In such modeling, by providing facility performance information and facility operation information for each facility as a library, it enables optimized control tailored to the product specifications and operating characteristics of each facility.

[0012] Korean Patent Registration No. 10-2401210 comprises: a sensor unit comprising a plurality of solar radiation detectors and ultraviolet detectors installed in each zone, dividing each surface of a building receiving sunlight into zones; a cooling unit and a heating unit that supply cooling and heating to areas partitioned by each zone; and a smart window that covers the exterior surface of the building and adjusts the amount of sunlight transmitted into the interior of the building. and a direct digital controller that receives an instantaneous solar radiation value from the solar radiation sensor, calculates an average instantaneous solar radiation value for each zone, and controls a valve for supplying heating and cooling and the solar light transmittance of the smart window for each partitioned area according to the average instantaneous solar radiation value and the ultraviolet detection value; wherein the smart window includes a smart window film attached to the window glass of the building, and the smart window film includes a transparent polymer lower substrate, a first electrode layer laminated on the transparent polymer lower substrate, a polymer dispersed liquid crystal (PDLC) layer laminated on the first electrode layer, a second electrode layer laminated on the polymer dispersed liquid crystal layer, a first insulating layer laminated on the second electrode layer, a third electrode layer laminated on the first insulating layer, a second insulating layer laminated on the third electrode layer, a fourth electrode layer laminated on the second insulating layer, and a transparent polymer upper substrate laminated on the fourth electrode layer, wherein the third electrode layer and the fourth electrode layer have a conductive electrode pattern of a transparent conductive metal material formed thereon, and the conductive electrode The present invention relates to an energy-saving building energy management system characterized by the pattern being patterned so as not to overlap with each other in the third electrode layer and the fourth electrode layer, and enables energy consumption to be reduced by controlling the amount of heating and cooling in a proportional control manner using solar radiation that differs for each orientation.

[0013] Korean Patent Registration No. 10-2402640 describes an invention conceived to address the problem that, in order to provide detailed energy management functions, a building energy management system must operate energy by considering the environment of each space within the building based on various environmental information such as temperature, humidity, occupants, air quality, illuminance, CO2, and fine dust; however, since the installation of environmental sensors to configure the building energy management environment has a significant impact on the budget for establishing the system, they cannot be installed indiscriminately; therefore, it is necessary to deploy or configure an appropriate number of sensors considering the spatial environment and budget within the building; and when aging or malfunctioning sensors occur among the sensors deployed within the building, the building energy management system does not properly perform configuration rearrangement or replacement of the aging or malfunctioning sensors, resulting in energy waste caused by operational or control errors of building equipment. The invention comprises the step of detecting a malfunctioning sensor or an aging sensor that exceeds a preset measurement error range among a plurality of sensors within the building; The method includes the step of updating the configuration of the sensors to be controlled by replacing the detected faulty sensor or the aging sensor with a new sensor through an alarm to a user terminal; and the step of controlling the building equipment to be controlled within the building based on the updated sensor configuration to perform building energy management, thereby enabling more efficient control of the building equipment by updating the configuration of the sensors to be controlled in consideration of the status (e.g., aging or failure) of the building sensors installed within the building. Prior art literature

[0015] 1. Korean Patent Publication No. 10-2021-0089458 (Published July 16, 2021; Title: Building Facility Energy Management Control System and Method for Controlling the Same) 2. Korean Patent Registration No. 10-2401210 (Registered May 19, 2022; Title: Energy-Saving Building Energy Management System) 3. Korean Patent Registration No. 10-2402640 (Registered May 23, 2022; Title: Building Energy Management Method and Device) The problem to be solved

[0016] The objective according to the first embodiment of the present invention is to provide an intelligent building management system capable of AI-based building environment change and energy saving, which comprehensively analyzes indoor and outdoor fine dust concentrations, indoor and outdoor temperatures, the presence or absence of people indoors, and the window opening / closing status, and optimizes the indoor building environment and achieves power saving by appropriately controlling essential and non-essential actuators using artificial intelligence.

[0017] The objective according to the second embodiment of the present invention is to provide an intelligent building management system capable of optimizing the indoor environment of a building based on artificial intelligence, by automatically controlling the illuminance of a lighting device and the operation of a ventilation fan according to the indoor air pollution level and the presence or absence of people inside, thereby enabling energy saving and changes in the building environment.

[0019] The technical problems that the present invention aims to solve are not limited to those mentioned above, and other unmentioned technical problems will be clearly understood by those skilled in the art to which the present invention belongs from the description below. means of solving the problem

[0021] An intelligent building management system capable of artificial intelligence-based building environment change and energy saving according to the first embodiment of the present invention for achieving the above objective is

[0022] A window sensor that detects whether windows installed at multiple points in a building are open or closed, and transmits information about windows that open or close the building's indoor area to a management server according to the control of a management server connected via IoT communication;

[0023] An indoor fine dust sensor installed inside a building to measure indoor fine dust concentration, generating indoor fine dust information including fine dust concentration, and transmitting said indoor fine dust information to a management server connected via IoT communication;

[0024] An outdoor fine dust sensor installed on the exterior of a building to measure outdoor fine dust concentration, generating outdoor fine dust information including fine dust concentration, and transmitting the outdoor fine dust information to a management server connected via IoT communication;

[0025] An indoor temperature sensor installed inside a building to measure the indoor temperature, and transmitting the indoor temperature information to a management server connected via IoT communication;

[0026] An outdoor temperature sensor installed on the exterior of a building to measure the outdoor temperature, and transmitting the outdoor temperature information to a management server connected via IoT communication;

[0027] A human body sensor for detecting people and the number of people staying inside a building, which transmits a person detection signal to a management server connected via IoT communication so that the indoor environment is adjusted according to the presence or absence of people inside the building;

[0028] An outside air inflow sensor that detects the amount of outside air entering through the above window and transmits outside air volume information to a management server connected via IoT communication so that the opening and closing of the window can be appropriately controlled according to the real-time air inflow amount;

[0029] A management server that controls air circulation devices and air conditioning devices by classifying them into essential or non-essential operating equipment so that the indoor environment maintains the indoor and outdoor fine dust concentrations, indoor and outdoor temperatures, and humidity within an optimal range depending on time and the presence or absence of people, and controls the operation of windows that introduce outside air by selectively combining them; and

[0030] The artificial intelligence server comprises: a data storage unit that receives and stores detection information provided by the indoor / outdoor fine dust sensor, indoor / outdoor temperature sensor, human body sensor, and outdoor air intake sensor, as well as control operation information transmitted by the management server, and stores the detection information and control operation information by matching them with time information and also by matching them with the behavioral patterns of indoor occupants; a data analysis unit that utilizes the detection information and control operation information stored in the data storage unit to learn using machine learning analysis techniques to find optimal control conditions, continuously upgrades the optimal control conditions, and provides them to the management server in real time; and a control mode providing unit that provides the optimal control mode for window opening / closing, the timing of operation, the operating status, and the duration of operation of the air circulation device and air conditioning device in real time to the management server by reflecting time information based on the optimal control conditions provided by the data analysis unit.

[0031] In the first embodiment, the management server is

[0032] The method is characterized by pre-setting the total appropriate power consumption of the air circulation device and the air conditioner, and, when the total power consumption of the essential-operating equipment, such as the air circulation device or air conditioner, currently in operation exceeds the total appropriate power consumption based on the indoor / outdoor fine dust concentration and indoor / outdoor temperature, reducing the power consumption of the non-essential-operating equipment, such as the air conditioner or air circulation device, to bring the total power consumption of these equipment devices to the total appropriate power consumption.

[0033] In the first embodiment, the management server is

[0034] It is characterized by determining indoor and outdoor fine dust concentrations and indoor and outdoor temperatures, and regulating the indoor environment by operating an air circulation device and an air conditioner based on the determination result, while taking into account that outside air may be introduced into the air circulation device, it regulates the indoor environment by combining the outdoor fine dust concentration detected in real time by an external sensor, indoor and outdoor temperatures, and whether the windows are open or closed.

[0035] In the first embodiment, the management server or artificial intelligence server is

[0036] A weather information server is additionally configured to provide hourly outdoor temperature, humidity, and fine dust information to enable the estimation and calculation of the outdoor air quality (air quality) index, and

[0037] In such a case, the method is characterized by deriving a corrected optimal control mode by reflecting the weather information and time information in the optimal control conditions.

[0038] In the first embodiment, the management server is

[0039] It is characterized by monitoring energy usage within a building in real time, collecting management data on the amount of outside air inflow of an air circulation device and real-time monitored indoor environment information of the building, generating control values ​​for the time and amount of outside air inflow, and causing the air circulation device to inflow outside air into the building in an amount equal to the amount of outside air inflow at the time of outside air inflow according to the control values.

[0041] An intelligent building management system capable of artificial intelligence-based building environment change and energy saving according to the second embodiment of the present invention for achieving the above objective is

[0042] Provided as a ventilation module for optimizing indoor air pollution levels and indoor temperature as an indoor building environment, comprising: window sensors that detect the opening and closing of windows installed at multiple points to introduce outside air into the room and discharge indoor air to the outside;

[0043] Fine dust sensor that detects fine dust in an indoor space;

[0044] Illumination sensor for detecting illuminance of a lighting device in an indoor space;

[0045] Human body sensor that detects the presence or absence of people in an indoor space;

[0046] A weather information server that provides hourly outdoor temperature, humidity, and fine dust information to enable the estimation and calculation of an outdoor air quality (air quality) index;

[0047] A management server that generates control signals to control the dimming of lighting devices and the operation and speed of ventilation fans based on the results of detecting fine dust, illuminance, and the presence or absence of people in the indoor space, wherein information corresponding to a comfortable air quality index is received from the weather information server when the outdoor fine dust concentration is below a standard value, and when the indoor fine dust concentration is above the standard value and people are present, the windows are opened to introduce outdoor air into the indoor space so that indoor environment optimization is achieved within a short period of time;

[0048] A local controller that receives fine dust detection signals and illuminance detection signals of the indoor space, as well as motion signals detecting surrounding movement, via Zigbee communication, Bluetooth communication, or Wi-Fi communication, controls the illuminance of an LED lamp through an LED dimming unit, and controls the operation and speed of a fan through a fan driving unit;

[0049] An LED dimming unit that controls the dimming of an LED lamp according to a dimming control signal of the local controller; and

[0050] It is characterized by comprising a fan drive unit that controls the operation and speed of the ventilation fan according to the fan control signal of the local controller.

[0051] In the second embodiment, the control of the LED lamp and fan is

[0052] A step of measuring indoor fine dust using the above-mentioned fine dust sensor;

[0053] A step of detecting the illuminance of an indoor space using the above illuminance sensor;

[0054] A step of detecting a person in an indoor space using the above human body sensor;

[0055] A step of generating an LED lamp illumination control signal and a fan operation status and speed control signal based on indoor fine dust, illumination, and the presence or absence of people determined by the above steps; and

[0056] It is characterized by being performed according to an operation flow comprising the step of updating and controlling the illuminance of the LED lamp and the operation and speed of the fan in real time to correspond to the changes in indoor fine dust in real time. Effects of the invention

[0058] According to the intelligent building management system capable of changing the building environment and saving energy based on artificial intelligence according to the first embodiment of the present invention, by comprehensively analyzing indoor and outdoor fine dust concentrations, indoor and outdoor temperatures, the presence or absence of people indoors, and the window opening / closing status, and utilizing artificial intelligence to appropriately control essential and non-essential actuators, it is possible to optimize indoor air quality and indoor temperature while also achieving power savings.

[0059] According to the intelligent building management system capable of changing the building environment and saving energy based on artificial intelligence according to the second embodiment of the present invention, power saving can be achieved while optimizing the indoor air of a building by controlling the LED dimming of a lighting device and the operation of a ventilation fan according to fine dust in a specific indoor space, the illuminance of a lighting device installed in the indoor space, and the presence or absence of people staying in the indoor space.

[0061] The effects of the present invention are not limited to the effects described above, and should be understood to include all effects that can be inferred from the configuration of the invention described in the detailed description of the invention or the claims. Brief explanation of the drawing

[0063] FIG. 1 is a configuration diagram of an intelligent building management system capable of changing the building environment and saving energy based on artificial intelligence according to a first embodiment of the present invention. FIG. 2 is a configuration diagram of a building management system applied to a BAS network-based IoT expansion system according to the first embodiment of the present invention. FIG. 3 is a configuration diagram of a BBAS network-based IoT expansion construction system according to a first embodiment of the present invention. FIG. 4 is a network configuration diagram of air conditioning-related sensors and control means in an intelligent building management system capable of artificial intelligence-based building environment change and energy saving according to the first embodiment of the present invention. FIG. 5 is a configuration diagram for controlling the amount of air entering an air circulation device according to a first embodiment of the present invention. FIG. 6 is a diagram showing the configuration of an artificial intelligence module of an intelligent building management system capable of changing the building environment and saving energy based on artificial intelligence according to the first embodiment of the present invention. FIG. 7 is a configuration diagram of a management server of an intelligent building management system capable of artificial intelligence-based building environment change and energy saving according to the first embodiment of the present invention. FIG. 8 is a control diagram of an intelligent building management operation capable of artificial intelligence-based building environment change and energy saving according to the first embodiment of the present invention. FIG. 9 is a configuration diagram of an intelligent building management system capable of artificial intelligence-based building environment change and energy saving according to a second embodiment of the present invention. FIG. 10 is an intelligent building management operation control diagram capable of artificial intelligence-based building environment change and energy saving according to a second embodiment of the present invention. Clear embodiments of the present invention are illustrated in the drawings above and will be described in more detail below. These drawings are not intended to limit the scope of the spirit of the present invention in any way, but are intended to enable those skilled in the art to understand the concept of the present invention by referring to specific embodiments. Specific details for implementing the invention

[0064] The present invention is capable of various modifications and may have various embodiments, and specific embodiments are illustrated in the drawings and described in detail in the detailed description.

[0065] However, this is not intended to limit the invention to specific embodiments, and it should be understood that it includes all modifications, equivalents, and substitutions that fall within the spirit and scope of the invention.

[0066] The terms used in this invention are used merely to describe specific embodiments and are not intended to limit the invention.

[0067] The singular expression includes the plural expression unless the context clearly indicates otherwise. In this application, terms such as "comprising" or "having" are intended to specify the existence of the features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof.

[0068] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which this invention pertains.

[0070] Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings.

[0071] [1st Example]

[0072] FIG. 1 is a configuration diagram of an intelligent building management system capable of AI-based building environment changes and energy savings according to the first embodiment of the present invention. FIG. 2 is a configuration diagram of a building management system applied to an IoT expansion system based on a BAS network according to the first embodiment of the present invention. FIG. 3 is a configuration diagram of an IoT expansion system based on a BBAS network according to the first embodiment of the present invention. FIG. 4 is a network configuration diagram of air conditioning-related sensors and control means in an intelligent building management system capable of AI-based building environment changes and energy savings according to the first embodiment of the present invention. FIG. 5 is a configuration diagram of controlling the air intake amount in an air circulation device according to the first embodiment of the present invention. FIG. 6 is a configuration diagram of an AI module of an intelligent building management system capable of AI-based building environment changes and energy savings according to the first embodiment of the present invention. FIG. 7 is a configuration diagram of a management server of an intelligent building management system capable of AI-based building environment changes and energy savings according to the first embodiment of the present invention. FIG. 8 is a control diagram of an intelligent building management operation capable of AI-based building environment changes and energy savings according to the first embodiment of the present invention.

[0074] Referring to FIG. 1, an intelligent building management system capable of changing the building environment and saving energy based on artificial intelligence according to the first embodiment of the present invention may include a plurality of equipment devices (110), a plurality of DDCs (Direct Digital Controllers) (120), a building management server (200), a building information DB (210), and an administrator terminal (300).

[0075] Multiple DDCs (120), a building management server (200), a building information DB (210), an administrator terminal (300), and multiple sensors are components that constitute a building energy management system (BEMS).

[0076] Multiple equipment devices (110) may include an air circulation device, an air conditioning device, a boiler, a lighting device, a ventilation device, a pump device, etc., and are devices that consume electricity, i.e., energy, to implement air conditioning, sanitation, power, security, fire prevention, etc.

[0077] Multiple DDCs (120) monitor the operation of each of the multiple equipment devices (110) and directly control the operation.

[0078] In a building (100) equipped with the above-mentioned multiple equipment (110) and DDC (120), multiple sensors are installed to detect indoor temperature, indoor humidity, illuminance, air pollution level (indoor air quality), etc., so that an optimal indoor environment is achieved.

[0079] The management server (200) can be connected to the plurality of DDCs (120) via wired or wireless communication, for example, through a TCP / IP network.

[0080] The management server (200) monitors the power usage status of multiple equipment devices (110) and, based on the results, controls the operation of multiple equipment devices (110) either all or selectively.

[0081] The management server (200) transmits a drive control signal of the equipment (110) to a DDC (120) connected to the equipment (110), and the DDC (120) can directly drive and control the equipment (110) based on the drive control signal. For example, the management server (200) can monitor the power consumption of the air circulation device and the air conditioning device (air conditioner) by time period and control them appropriately so that power saving is achieved.

[0082] The management server (200) can manage each of the plurality of equipment devices (110) by classifying them into non-essential equipment devices that are operated necessarily according to the indoor environment and non-essential equipment devices that do not need to be operated for a certain period of time. In the present invention, the air circulation device and the air conditioning device may be essential equipment devices or non-essential equipment devices depending on the indoor environment.

[0083] The management server (200) pre-sets the total appropriate power consumption of the air circulation device and the air conditioning device, and if the total power consumption of the essential-operating equipment, such as the air circulation device or the air conditioning device, currently in operation exceeds the total appropriate power consumption, it can reduce the power consumption of the non-essential-operating equipment, such as the air conditioning device or the air circulation device, to bring the total power consumption of these equipment devices to the total appropriate power consumption.

[0084] That is, the management server (200) controls the operation of the air circulation device and air conditioning device and the opening and closing of windows in combination according to the indoor air pollution level and indoor temperature, and can remotely control the air circulation device and air conditioning device installed indoors and the opening and closing of windows according to the concentration of fine dust and carbon dioxide contained in the indoor air and the indoor temperature.

[0085] The building information DB (210) can store information such as the ID, management code, standard usage, installation year, and lifespan information of each of the multiple equipment (110).

[0086] The administrator terminal (300) is networked with the management server (200) and may be a terminal device for monitoring the usage status of each of the multiple equipment devices (110) and for remotely controlling each of the multiple equipment devices (110). In this case, the management server (200) may provide an interface to the administrator terminal (300) for monitoring the power usage status and controlling the multiple equipment devices (110).

[0087] Meanwhile, although the building (100) in FIG. 1 is described as a single building, it is not necessarily limited to this and may be a group of buildings including multiple buildings (100). In this case, each business operator may be configured to manage the equipment of each building, and the building information managed by these business operators may be transmitted to a management server (200) based on a BAS network.

[0088] That is, the BAS network-based building management system may include an IoT service provider (10) installed in the building to collect various building information such as air conditioning, power, lighting, and security, and a network provider. In the above, the network provider is a person who has previously provided building management services.

[0089] An IoT service provider (10) can receive building information collected by at least one sensor installed in a building through a network provided by a network provider.

[0090] A building management system may be composed of a network provider that establishes a network for at least one IoT service provider (10); and an IoT service provider (10) that is configured with at least one sensor (11) and a control unit (12) for building energy management, and which receives data collected from the sensor (11) through the network established by the network provider and uses it for building management, thereby enabling easy expansion of the IoT.

[0091] Data collected by the sensor (11) and transmitted to the IoT service provider (10) via a network and the network provider's own data can be configured so as not to affect each other, and the sensor (11) and the control unit (12) can exchange data in a predefined form using any one of the standard communication methods provided by the network provider, such as UART, BT, and ZigBee.

[0092] An IoT service provider (10) may have a system capable of providing building management services by processing at least one detection information collected from sensors related to air conditioning, power, lighting, security, and earthquakes installed in a building. At this time, a building management system provided by a network provider may be used, or a building management system provided by the provider itself may be used.

[0093] The collected information mentioned above may be various sensing data such as temperature, humidity, CO2, power, gas leaks, and fine dust. However, it is not necessarily limited to these.

[0094] In the present invention, since it can be assumed that the IoT service provider (10) is configured to allow at least one provider to connect to a building through a network, the management server (200) can distinguish information regarding building management elements transmitted to each IoT service provider (10).

[0095] For this purpose, for example, each IoT service provider (10) can register a unique ID in the management server (200). That is, the management server (200) recognizes the ID uniquely assigned to each IoT service provider (10) and processes the building management information collected by the sensor (11) installed by the IoT service provider (10) so that only the IoT service provider (10) can use it.

[0096] In addition, building management information processed by the IoT service provider server (10) can be filtered into information having valid values.

[0097] As shown in FIG. 4, the sensor (11) may be configured to include a window sensor (11a) that opens or closes to optimize the indoor environment in conjunction with the operation of an air circulation device or air conditioning device based on indoor air pollution levels and indoor temperature and outdoor air pollution levels and outdoor temperature; an indoor dust sensor (11b) and an indoor temperature sensor (11d) for detecting indoor air pollution levels and indoor temperature as an indoor environment of the building; an outdoor fine dust sensor (11c) and an outdoor temperature sensor (11e) for detecting outdoor air pollution levels and outdoor temperature as an outdoor environment of the building; a human body sensor (11f) for detecting the presence or absence and number of people staying inside the building; and an outdoor air intake sensor (11g) for detecting the amount of outside air entering the indoor space according to the opening of the window. At this time, the sensors may be configured in multiple units to prepare for failures, etc.

[0098] The above window sensor (11a) is provided as a ventilation module for optimizing indoor air pollution levels and indoor temperature as an indoor environment of a building, and is a component that introduces outside air into the indoor space and discharges indoor air to the outside. It detects whether windows installed at multiple points in the building are open or closed, and transmits window opening / closing information to the management server (200) that opens or closes the indoor area of ​​the building according to the control of the management server (200) connected via IoT communication. If necessary, the windows can be automatically opened or closed according to a signal input to a switch installed on a nearby side wall panel.

[0099] The indoor fine dust sensor (11b) is installed indoors in a building to measure indoor fine dust concentration (indoor air pollution level), generates indoor fine dust information including indoor fine dust concentration, and transmits the indoor fine dust information to a management server (200) via IoT communication. Here, fine dust is a concept that includes carbon monoxide, carbon dioxide, various harmful substances, etc.

[0100] The outdoor fine dust sensor (11c) is installed outside a building to measure the outdoor fine dust concentration (outdoor air pollution level), generates outdoor fine dust information including the outdoor fine dust concentration, and transmits the outdoor fine dust information to a management server (200) via IoT communication. Here, fine dust is a concept that includes carbon monoxide, carbon dioxide, various harmful substances, etc.

[0101] The indoor temperature sensor (11d) is installed inside a building to measure the indoor temperature and transmits the indoor temperature information to a management server (200) via IoT communication. Here, indoor temperature is a concept that includes indoor humidity. That is, the indoor temperature sensor (11d) may be a means for detecting indoor temperature and indoor humidity.

[0102] The outdoor temperature sensor (11e) is installed outside the building to measure the outdoor temperature and transmits the outdoor temperature information to the management server (200) via IoT communication. Here, the outdoor temperature is a concept that includes outdoor humidity. That is, the outdoor temperature sensor (11e) may be a means for detecting outdoor temperature and outdoor humidity.

[0103] The human body sensor (11f) is intended to detect a person staying inside a building, and transmits a person detection signal to a management server (200) so that the indoor environment is adjusted according to the presence or absence of a person inside the building.

[0104] The human body sensor (11f) may be, for example, an infrared sensor and may be installed at multiple points indoors. Additionally, the human body sensor (11f) may be replaced with a camera.

[0105] The above-mentioned outside air intake sensor (11g) is an air intake sensor that detects the amount of outside air entering through the window, and transmits outside air intake information to a management server (200) via IoT communication so that the opening and closing of the window can be appropriately controlled according to the real-time air intake amount.

[0106] The above-mentioned outside air intake sensor (11g) may be, for example, an air pressure sensor (APS) that detects wind pressure entering the room through a window.

[0107] The detection signals of the window sensor (11a), indoor fine dust sensor (11b), outdoor fine dust sensor (11c), indoor temperature sensor (11d), outdoor temperature sensor (11e), human body sensor (11f), and outdoor air intake sensor (11g) are used to control the air circulation device and air conditioning device included in the equipment (110) of the building (100).

[0108] The air circulation device included in the above-mentioned equipment (110) circulates outside air and indoor air to maintain the concentration of fine dust inside the building at or below a predetermined value. It may include an intake pipe installed at the top of the indoor space to provide a passage for outside air to be drawn into the indoor space, an exhaust pipe installed at the top of the indoor space to provide a passage for indoor air to be exhausted to the outside, and an intake pump installed in the intake pipe to draw outside air through the intake pipe and inject it into the indoor space. If necessary, it may optionally include an exhaust pump installed in the exhaust pipe to discharge indoor air through the exhaust pipe to release indoor air.

[0109] At this time, the operation of the intake pump can be controlled according to the control of the management server (200) connected via IoT communication.

[0110] In addition, the air circulation device can regulate the amount of outside air flowing into the room based on information processed by the management server (200), namely, information processed by combining or selectively combining indoor and outdoor fine dust concentrations, indoor and outdoor temperatures, and whether the windows are open or closed, and can also maintain the indoor fine dust concentration at a level below a certain level and maintain the indoor temperature at an appropriate temperature.

[0111] Specifically, it is intended to control indoor fine dust to be maintained within a normal concentration range, more specifically at the level of domestic regulations and WHO recommendations, and in terms of hardware, it utilizes an air circulation device and various devices configured therein, and may be equipped with a damper to control the air flowing into the air circulation device.

[0112] The damper installed in the above air circulation device can regulate the amount of air flowing into the air circulation device by completely blocking or partially blocking the air inlet, or by completely opening or partially opening it. In this case, the amount of air flowing in can be controlled in conjunction with the indoor and outdoor fine dust concentration and the indoor and outdoor temperatures.

[0113] The present invention allows the management server (200) to control the air circulation device so that even if the indoor fine dust concentration and indoor temperature deviate from the normal range, the amount of deviation is determined and the amount of outside air introduced can be controlled.

[0114] In addition, the air conditioning device separates and emits warm and cold air, and maintains the indoor temperature at a certain level by controlling the indoor temperature through the control of the management server (200) according to the result of processing a combination of indoor and outdoor fine dust concentrations, indoor and outdoor temperatures, whether the window is open or closed, and whether there are people.

[0116] Next, various control embodiments performed by the above-mentioned management server (200) are described in detail as follows.

[0117] The management server (200) controls the air circulation device and air conditioning device so that the indoor environment is maintained within an optimal range according to the time and the presence or absence of people, with indoor and outdoor fine dust concentration, indoor and outdoor temperature, and humidity.

[0118] That is, when a person stays inside the building, the opening and closing of windows, the air circulation device, and the air conditioning device are controlled based on the detection information provided by the human body sensor (11f) to maintain the indoor temperature, indoor humidity, fine dust concentration, etc., within a predetermined optimal range.

[0119] The above management server (200) may perform window opening and closing and control of the air circulation device and air conditioning device by means of a control program built into itself, or may perform control according to optimal control conditions provided by the artificial intelligence server (800).

[0120] In addition, control operations can also be performed by control commands from a manager terminal (300) networked to the management server (200).

[0121] The artificial intelligence server (800) may be configured as a separate server, and in this case, it stores and analyzes detection information provided by the sensors and control information by the management server (200) to provide optimal control conditions to the management server (200).

[0122] The artificial intelligence server (800) analyzes and learns various detection information provided in real time, control operation information actually performed by the management server (200) according to this information, and indoor environment information performed thereby, and derives a solution for optimal living environment conditions and management that reflects the living environment patterns and characteristics of indoor occupants.

[0123] To this end, in this embodiment, the artificial intelligence server (800) may be configured to include a data storage unit (810), a data analysis unit (820), and a control mode providing unit (830), as shown in FIG. 6.

[0124] The data storage unit (810) receives and stores detection information provided by the indoor sensors and outdoor sensors, the human body sensor (11f) and the outside air inflow sensor (11g), and control operation information transmitted by the management server (200).

[0125] The above data storage unit (810) stores the detection information and control operation information by matching them with time information, and also stores them by matching them with the behavior patterns of indoor occupants.

[0126] The data analysis unit (820) utilizes the detection information and control operation information stored in the data storage unit (810) to learn using a machine learning analysis technique and finds the optimal control conditions.

[0127] The optimal control conditions provided by the data analysis unit (820) are continuously upgraded and provided to the management server (200) in real time.

[0128] The control mode providing unit (830) provides an optimal control mode to the management server (200) in real time by reflecting time information based on the optimal control conditions provided by the data analysis unit (820). Here, the optimal control mode may be information regarding the opening and closing of the window, the timing of operation of the air circulation device and the air conditioning device, the operation status, and the duration of operation.

[0129] The artificial intelligence server (800) configured in this manner controls the opening and closing of windows and the operation of the air circulation device and air conditioning device based on the detection signal of the human body sensor (11f), which can determine whether there are people staying indoors or the number of people staying indoors. For example, it enables energy-saving operation by controlling the system so that heating, cooling, and ventilation are not performed during times when there is a high probability that there are no people staying indoors, such as at night when the company's business hours in the building have ended or during lunchtime.

[0130] Meanwhile, in this embodiment, the artificial intelligence server (800) may further be configured with a weather information server that provides weather forecast information, and the control mode providing unit (830) may provide the management server (500) with a corrected optimal control mode by reflecting the weather forecast information and time information in the optimal control conditions provided by the data analysis unit (820).

[0131] The above weather information server provides at least one piece of information among outdoor hourly temperature, humidity, fine dust, carbon monoxide, carbon dioxide, and volatile organic compounds to enable the estimation and calculation of an outdoor air quality (air quality) index.

[0132] The air quality information estimated and calculated as described above can be used to control the air circulation device; for example, to improve indoor fine dust, the air circulation device can be scheduled to operate in a standby state during times when air quality improves.

[0133] The above air quality index can be represented as shown in Table 1. However, this is merely an example, and the data can be converted into various numerical values.

[0134] jisoo 1 2 3 4 5 Temperature (°C) ~15 15~20 21~25 26~30 31~ humidity(%) ~25 26~45 46~55 56~65 66~ Fine dust ( ) ~25 26~70 71~140 141~290 291~

[0135] Referring to Table 1 above, the indoor temperature index varies depending on the season, but 3 is an appropriate temperature index, and if it deviates from this, the air conditioning unit can be operated. In particular, if the temperature index is 4 or higher, the air conditioning unit must be operated to maintain a low indoor temperature.

[0136] In the case of humidity, a humidity index of 3 is considered appropriate, and if it deviates from this, the air conditioning unit can be operated.

[0137] Meanwhile, if the fine dust index exceeds 1, a warning message is sent, and if it is 3 or higher, the air circulation device is immediately activated to improve indoor air quality.

[0138] At this time, the operating time of the air circulation device can be adjusted based on external air quality information from the aforementioned weather information server. For example, if the external air quality index is worse than the indoor air quality index, the operating time of the air circulation device can be shortened. That is, if the air conditioning device is operated for a long time when the external temperature deviates significantly from the set value (either too high or too low), the indoor temperature index may not reach the set value range. To prevent such a situation, the operating time of the air conditioning device can be controlled to be shorter.

[0139] Meanwhile, the management server (200) can activate the external air intake function of the air circulation device when the index indicating the indoor fine dust concentration exceeds 2. At this time, a guidance message can be transmitted as voice or text.

[0140] Additionally, the management server (200) can control the windows to be closed when the air quality index is higher than the indoor air quality index when comparing the indoor air quality index and the outdoor air quality index. For example, the management server (200) can control the windows to be closed when comparing the indoor fine dust index and the outdoor fine dust index received, and when the outdoor fine dust index is higher than the indoor fine dust index.

[0142] Another control embodiment performed by the management server (200) is described.

[0143] The management server (200) monitors the energy usage within the building in real time and performs various controls to improve energy efficiency within the building based on this. In particular, it collects management data regarding the amount of outside air entering the air circulation device and real-time monitored indoor environment information of the building to generate control values ​​for the time and amount of outside air entering.

[0144] The control values ​​for the above-mentioned outdoor air inflow time and outdoor air inflow amount are generated by identifying the period during which outdoor air inflow is possible based on building environment information collected from indoor sensors, management data, and historical statistical data including building environment information, and then predicting the efficiency of the energy heat quantity resulting from outdoor air inflow during the period during which outdoor air inflow is possible.

[0145] Accordingly, the air circulation device introduces outside air into the building in an amount equal to the outside air intake amount during the outside air intake time, based on the received control value.

[0146] The management server (200) stores and manages building indoor environment information collected through real-time monitoring, analyzes it by period, for example, by year, quarter, month, week, day, or weekday, and stores the analyzed content, and the building indoor environment information analyzed by period can be used as past statistical data.

[0147] When the management server (200) collects the monitored building indoor environment information and management data regarding the amount of outside air inflow, it identifies the period during which outside air inflow is possible based on past statistical data including the building indoor environment information, management data, and previously analyzed past building indoor environment information, and then predicts the efficiency of the energy heat quantity according to the outside air inflow during the period during which outside air inflow is possible, thereby generating control values ​​for the time and amount of outside air inflow.

[0148] In other words, based on real-time monitored indoor building environment information, changes in indoor temperature and indoor comfort levels due to the inflow of outside air are simulated using mathematical modeling to calculate a first-order control value for the amount of outside air inflow during the period when outside air inflow is possible.

[0149] Since it is desirable that the period during which outside air can be introduced be at night when the outside temperature is lower than the indoor temperature and when no people are present in the building, a predetermined value can be calculated as the primary control value for the amount of outside air introduced, for example, between 4:00 AM and 7:00 AM.

[0150] Subsequently, during the period when outside air can enter, statistical data including past indoor building environment information is checked.

[0151] The management server (200) stores and manages building indoor environment information, analyzes it by period, for example, by year, by quarter, by month, by week, by day, or by at least one of the categories, and stores the analyzed content.

[0152] Building indoor environment information, analyzed and stored at regular intervals in this way, can be utilized as historical statistical data. In other words, all historical data necessary for building energy control can be used as statistical data.

[0153] During the period when such outside air inflow is possible, based on statistical data and management data including past building indoor environment information, the efficiency of the energy heat quantity due to outside air inflow can be predicted, and a second control value corrected for the outside air inflow time and first control value, for example, 6:30 AM, can be calculated.

[0154] Afterward, the outdoor air inflow is controlled by opening the outdoor air damper inside the building according to the second control value at the calculated outdoor air inflow time, for example, 6:30 AM, and then the building's cooling and heating efficiency and indoor comfort are monitored in real time to determine whether there is a decrease, and a final control value is set based on this.

[0155] At this time, weather information for the day can be further collected through the weather information server to consider the predicted external temperature, external humidity, and human dwell rate for the day, and a final control value can be calculated by correcting the secondary control value by considering the current building environment information.

[0156] Through the aforementioned process, energy efficiency is improved by reducing the amount of power consumed by equipment, and once a control value for the optimal amount of outside air intake is calculated to maintain a comfortable indoor environment, the intake of outside air into the building is controlled according to the final control value.

[0157] Subsequently, by checking the real-time monitored indoor environment information, the inflow of outside air can be stopped if the indoor temperature drops below the outside temperature.

[0158] To this end, as illustrated in FIG. 7, the management server (200) may be configured to include a building environment information analysis module (200a) that analyzes building indoor environment information at regular intervals, an outdoor air inflow time / inflow amount calculation module (200b) that identifies the period during which outdoor air can be introduced based on building environment information, management data on the amount of outdoor air introduced by the air circulation device, and past statistical data, predicts the efficiency of the energy heat quantity according to the outdoor air introduction during the period during which outdoor air can be introduced, and calculates control values ​​for the outdoor air introduction time and the amount of outdoor air introduction, and a result analysis module (200c) that monitors whether the cooling and heating efficiency and indoor comfort of the building deteriorate and analyzes the efficiency of the energy heat quantity when outdoor air is introduced.

[0160] Next, embodiments for controlling indoor and outdoor fine dust concentrations, indoor and outdoor temperatures, and whether windows are open or closed are described in detail as follows.

[0161] The present invention determines the indoor and outdoor fine dust concentration and indoor and outdoor temperatures as described above, and controls the indoor environment by operating an air circulation device and an air conditioning device according to the determination result; however, considering that outside air may be introduced into the air circulation device, the indoor environment is controlled by combining the outdoor fine dust concentration detected in real time by an external sensor, the indoor and outdoor temperatures, and whether the windows are open or closed.

[0162] First, when the indoor and outdoor fine dust concentrations and indoor temperature are within the normal range and the windows are closed, the amount of outside air entering is controlled using a damper, taking into account the level of air circulation function that can be performed by the air circulation device. The better the air purification function of the air circulation device, the greater the amount of air entering from the outside may be.

[0163] Therefore, in such cases, the size of the air inlet blocked by the damper should be reduced, and in the opposite case, the size of the air inlet blocked by the damper should be increased.

[0164] At this time, the window can be opened to simultaneously introduce outdoor air into the room through the air circulation device and the window.

[0165] In such cases, the air circulation device is operated for a certain period as an essential driving facility, and the air conditioning unit is stopped as a non-essential driving facility within the limits where the indoor temperature does not deviate from the normal range, thereby reducing the power consumption associated with the operation of the air conditioning unit.

[0166] At this time, as long as the indoor temperature does not exceed the normal range, the operating time of the air circulation device as an essential driving facility can be shortened due to the influx of outside air through the opening of the window, thereby reducing power consumption associated with the long-term operation of the air circulation device.

[0167] In addition, as long as the indoor fine dust concentration and indoor temperature remain within the normal range, the windows are closed, and the outdoor fine dust also remains within the normal range, the operation of the air circulation device is maintained within the total appropriate power consumption limit. However, if the total appropriate power consumption limit is exceeded, the operation of the air circulation device is maintained within the total power consumption limit set together with the air conditioning unit.

[0169] Next, if both the indoor and outdoor temperatures exceed the normal range, but the indoor fine dust concentration remains within the normal range and the outdoor fine dust concentration is outside the normal range, the operation of the air circulation device as a non-essential operating facility is stopped and the windows are closed to block the inflow of outside air into the room, while the air conditioning unit as an essential operating facility is operated to bring the indoor temperature to the normal range.

[0170] In other words, the air conditioning unit is operated for a certain period as an essential driving facility, while the air circulation unit is stopped as a non-essential driving facility, thereby reducing the power consumption associated with the operation of the air circulation unit.

[0171] In this case, as long as both the indoor and outdoor temperatures exceed the normal range, yet the indoor fine dust concentration remains within the normal range and the outdoor fine dust concentration is outside the normal range, the operation of the air conditioner is maintained within the total appropriate power consumption limit. However, if the total appropriate power consumption limit of the air conditioning system is exceeded, the operation of the air conditioner is maintained within the total power consumption limit set together with the air circulation device.

[0173] Next, if the indoor temperature exceeds the normal range but the outdoor temperature is within the normal range and the indoor and outdoor fine dust concentrations remain within the normal range, the air circulation device is kept running as an essential operating unit while the windows are opened to allow outside air to flow into the room, and the air conditioning unit is also operated as an essential operating unit to bring the indoor temperature to the normal range.

[0174] That is, both the air conditioning unit and the air circulation unit are operated for a certain period of time as essential operating equipment, and the window is opened to lower the indoor temperature because the outdoor temperature is lower than the indoor temperature, and this opening of the window contributes to shortening the operating time of the air conditioning unit and reducing operating power.

[0175] In this case, as long as the indoor temperature exceeds the normal range but the outdoor temperature remains within the normal range and the indoor and outdoor fine dust concentrations remain within the normal range, the operation of the air conditioning system and the air circulation system is maintained within the total appropriate power consumption limit. However, if either the air conditioning system or the air circulation system exceeds the total appropriate power consumption limit, the operation of the device is maintained within the total power consumption limit set together with the other device.

[0177] Meanwhile, the present invention requires that the window sensor (11a), indoor dust sensor (11b), indoor temperature sensor (11d), outdoor fine dust sensor (11c), outdoor temperature sensor (11e), human body sensor (11f), and outdoor air inflow sensor (11g) each maintain their respective positions to increase the accuracy of the detection signal. To this end, the present invention provides a program in the management server (200) for determining whether the sensors maintain their respective positions, and analyzes the position signals of the sensors in real time and utilizes them for improving the indoor environment, thereby enabling more efficient improvement of the indoor environment.

[0178] At this time, ultrasonic waves are emitted toward the window sensor (11a), indoor dust sensor (11b), indoor temperature sensor (11d), outdoor fine dust sensor (11c), outdoor temperature sensor (11e), human body sensor (11f), and outdoor air inflow sensor (11g), and ultrasonic sensors can be configured at multiple locations corresponding to each sensor so that the exact location of each sensor can be detected based on the magnitude and distance of the reflected signal returning.

[0179] According to this configuration, the signal from the ultrasonic sensor can be analyzed to determine whether each sensor maintains its accurate position, and even if it is analyzed that one sensor is not maintaining its accurate position, control operations for optimizing the indoor environment can be performed without interruption by the signal from other sensors.

[0181] [2nd Example]

[0182] Next, a second embodiment of the present invention will be described in detail with reference to the drawings.

[0183] FIG. 9 is a configuration diagram of an intelligent building management system capable of changing the building environment and saving energy based on artificial intelligence according to a second embodiment of the present invention. FIG. 10 is a control diagram of an intelligent building management operation capable of changing the building environment and saving energy based on artificial intelligence according to a second embodiment of the present invention.

[0185] Generally, buildings of a certain size or larger are equipped with air conditioning systems that ventilate by exhausting indoor air to the outside. The ventilation structure of such air conditioning systems consists of ventilation fans installed in openings formed in each indoor space of the building, and each opening is connected via air conditioning ducts to exhaust vents provided in various forms, such as chimneys or exhaust windows, located outside the building. Consequently, the air from each indoor space is transported through the air conditioning ducts by the operation of the ventilation fans and is either naturally exhausted through the vents or forcibly discharged by a separate exhaust fan.

[0186] However, in such ventilation facilities, conventionally, the operation of each ventilation fan was merely turned ON / OFF, and control according to the environment of the indoor space was not achieved.

[0187] Accordingly, the second embodiment is intended to implement a technology for controlling LED dimming of a lighting device and a ventilation fan based on the fine dust concentration of a specific indoor space, the illuminance of a lighting device installed in the indoor space, and whether there are people in the indoor space.

[0188] As illustrated in FIG. 9, the system according to the second embodiment includes a remote management unit (600), an LED and fan control signal transmitting device (500), and an LED and fan control signal receiving device (700).

[0189] The remote management unit (600) includes a communication unit (610) and a management server (620). The management server (620) is a configuration corresponding to the management server (200) in the first embodiment.

[0190] The management server (620) is a server for conveniently managing LED lamps (740) and fans (750) in large spaces, such as large buildings, where it is difficult to manage or maintain them with a small number of personnel, and for dimming control and fan control. It enables dimming control of the LED lamps (740) and driving control of the fans (750) based on the results of detecting indoor fine dust, indoor illuminance, and the presence or absence of people indoors.

[0191] The management server (620) can easily control the LED lamp (740) and fan (750) by transmitting LED control signals and fan control signals to the local controller (520) configured in the building.

[0192] The management server (620) can also transmit control signals for the LED lamp (740) and the fan (750) by connecting to the communication unit (610) through a terminal such as a manager's mobile phone or touch pad, in addition to the local controller (620).

[0193] The communication unit (610) may include both wired and wireless communication networks.

[0194] The dimming control signal can be generated by a local controller (520) or a management server (620) to control the dimming of the LED lamp (740) in various ways, such as by detecting the concentration of fine dust and the presence or absence of people, and maintaining a low or high illuminance.

[0195] Additionally, the fan control signal can be generated by a local controller (520) or a management server (620) as a driving and speed control signal for the fan (750) to control the driving and speed of the fan (750) in various ways, such as low rotational speed, high rotational speed, or stopping the driving, by detecting the concentration of fine dust and the presence or absence of people.

[0196] The LED and fan control signal transmitting device (500) is configured in a building and includes a communication unit (510), a local controller (520), and a communication unit (530).

[0197] The communication unit (530) receives a dimming control signal or a fan control signal from the communication unit (610) of the remote management unit (600) and transmits it to the local controller (620) via wireless or wired communication.

[0198] The local controller (620) receives the fine dust concentration detection signal and the light intensity detection signal of the indoor space, as well as the motion signal detecting surrounding movement, from the fine dust sensor (410), the light intensity sensor (420), and the human body sensor (430) via Zigbee communication, Bluetooth communication, or Wi-Fi communication, and is configured so that the LED dimming unit (720) controls the light intensity of the LED lamp (740) and the fan driving unit (730) controls the driving and speed of the fan (750). The fine dust concentration, light intensity, and information on the presence or absence of people can be shared with the management server (620).

[0199] The communication unit (710) receives a dimming control signal and a fan drive and speed control signal from the local controller (520) and transmits them to the receiving device (700) via Bluetooth communication.

[0200] The LED and fan control signal receiving device (700) includes a communication unit (710), an LED dimming unit (720), an LED lamp (740) controlled by the LED dimming unit (720), a fan driving unit (730), and a fan (750) whose driving and speed are controlled by the fan driving unit (730).

[0201] The communication unit (710) receives the dimming control signal and the fan driving and speed control signal of the local controller (520) from the transmitting device (500) via Bluetooth communication and transmits them to the LED dimming unit (720) and the fan driving unit (730).

[0202] The LED dimming unit (720) controls the dimming of the LED lamp (740) according to the dimming control signal of the local controller (520).

[0203] The LED lamp (740) may include a bypass function that switches to manual mode when a malfunction occurs, so that the lamp that was lit does not turn off but remains turned on.

[0204] The fan drive unit (730) controls the drive and speed of the fan (750) according to the fan drive and speed control signal of the local controller (520).

[0205] The system according to the second embodiment configured as described above has an operation flow comprising: a step (S1) of measuring the concentration of fine dust in an indoor space using a fine dust sensor (410) as shown in FIG. 10; a step (S2) of detecting the illuminance of an indoor space using an illuminance sensor (420); a step (S3) of detecting the presence or absence of a person in an indoor space using a human body sensor (430); a step (S4) of generating an illuminance control signal for an LED lamp (740) and a speed control signal for driving a fan (750) according to the indoor dust concentration, illuminance, and the presence or absence of a person in the indoor space determined by the steps; and a step (S5) of updating and controlling the illuminance of the LED lamp (740) and the driving and speed of the fan (750) in real time to correspond to the change in the indoor fine dust concentration.

[0206] Examples of operations based on the indoor environment of a building are as follows.

[0207] When the fine dust concentration in a specific indoor space is above the standard level and there is a person present, the LED lamp (740) is turned on via the LED dimming unit (720), and at the same time, the fan (750) is driven at high speed via the fan driving unit (730) so that the indoor fine dust is discharged to the outside in a short time. Afterward, when the fine dust concentration changes to below the standard level, the fan (750) is driven and the LED lamp (740) is controlled according to whether there is a person present.

[0208] When the fine dust concentration in a specific indoor space is above the standard level and there is no person present, the LED lamp (740) is turned off via the LED dimming unit (720), and at the same time, the fan (750) is controlled at high speed via the fan driving unit (730) so that the indoor fine dust is discharged to the outside in a short time. Afterward, when the fine dust concentration changes to below the standard level, the operation of the fan (750) is stopped, and the LED lamp (740) is controlled according to whether there is a person present.

[0209] When the fine dust concentration in a specific indoor space is below the standard level and there is a person present, the LED lamp (740) is turned on via the LED dimming unit (720), and the fan (750) is stopped via the fan driving unit (730). Afterwards, when the fine dust concentration changes above the standard level, the fan (750) is driven via the fan driving unit (730), and the LED lamp (740) is controlled according to whether there is a person present.

[0210] When the fine dust concentration in a specific indoor space is below the standard level and there are no people, the LED lamp (740) is turned off through the LED dimming unit (720), and the fan (750) is also stopped through the fan driving unit (730). Afterwards, when the fine dust concentration changes to above the standard level, the fan (750) is driven through the fan driving unit (730), and the LED lamp (740) is controlled according to whether there are people.

[0212] Meanwhile, the window sensor (11a) configured in the first embodiment and the weather information server can be combined in the second embodiment and used for optimizing the indoor environment.

[0213] If information corresponding to a comfortable air quality index (Air Quality Index 1 in Table 1) is received from the weather information server, where the outdoor fine dust concentration is below the standard value, and the indoor fine dust concentration is above the standard value and there are people present, the windows are opened to introduce outdoor air into the room, thereby optimizing the indoor environment in a short period of time. In other words, power consumption is reduced by shortening the operating time of the fan (750). At this time, if an air circulation device is installed, the operating time of the fan (750) can be further shortened by adjusting the damper to introduce outdoor air in a short period of time.

[0214] While this operation is being performed, if air pollution information is received from the weather information server indicating that the outdoor fine dust is above the standard level while the indoor fine dust has not dropped below the standard level, the windows are closed to block the inflow of outdoor air into the indoor space, and only the fan (750) is operated to lower the indoor fine dust to below the standard level.

[0216] As explained above, the detailed description of the present invention describes preferred embodiments of the invention; however, this is merely an illustrative description of the best embodiments of the invention and is not intended to limit the invention. Furthermore, it is understood that anyone skilled in the art to which the present invention pertains can make various modifications and imitations within the scope of the technical concept of the invention without departing from its spirit. Explanation of the symbols

[0218] 100 : Building 110 : Equipment 120 : DDC 200, 620 : Management Server 210 : DB 300 : Administrator Terminal 410: Fine dust sensor 420: Illumination sensor 430: Human body sensor 520: Local controller 720 : LED dimming unit 730 : Fan drive unit 740 : LED lamp 750 : Fan

Claims

Claim 1 Provided as a ventilation module for optimizing indoor air pollution levels and indoor temperature as an indoor building environment, comprising: a window sensor that detects the opening and closing of windows installed at multiple points to introduce outside air into the room and discharge indoor air to the outside; a fine dust sensor that detects fine dust in the indoor space; an illuminance sensor that detects the illuminance of lighting devices in the indoor space; a human body sensor that detects the presence or absence of people in the indoor space; a weather information server that provides outdoor temperature, humidity, and fine dust information by time of day to estimate and calculate an outdoor air quality (air quality) index; and a management server that generates control signals to enable dimming control of lighting devices and driving and speed control of ventilation fans based on the results of detecting fine dust, illuminance, and the presence or absence of people in the indoor space, wherein information corresponding to a comfortable air quality index is received from the weather information server when the outdoor fine dust concentration is below a standard value, and when the indoor fine dust concentration is above a standard value and people are present, the windows are opened to introduce outdoor air into the room, thereby enabling indoor environment optimization to be achieved within a short period of time. An intelligent building management system capable of AI-based building environment change and energy saving, characterized by comprising: a local controller that receives a fine dust detection signal and an illuminance detection signal of the indoor space and a motion signal detecting surrounding movement via a Zigbee communication method, a Bluetooth communication method, or a Wi-Fi communication method, controls the illuminance of an LED lamp through an LED dimming unit, and controls the operation and speed of a fan through a fan driving unit; an LED dimming unit that controls the dimming of an LED lamp according to a dimming control signal of the local controller; and a fan driving unit that controls the operation and speed of a ventilation fan according to a fan control signal of the local controller. Claim 2 An intelligent building management system capable of artificial intelligence-based building environment change and energy saving, characterized in that, in claim 1, the control of the LED lamp and the fan is performed according to an operation flow comprising: a step of measuring indoor space fine dust using the fine dust sensor; a step of detecting the illuminance of the indoor space using the illuminance sensor; a step of detecting the presence or absence of a person in the indoor space using the human body sensor; a step of generating an illuminance control signal for the LED lamp and a control signal for the operation and speed of the fan according to the indoor dust, illuminance, and presence or absence of a person determined by the steps; and a step of updating and controlling the illuminance of the LED lamp and the operation and speed of the fan in real time to correspond to the indoor fine dust as it changes in real time. Claim 3 delete Claim 4 delete Claim 5 delete Claim 6 delete Claim 7 delete

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