KR20230053161A - AI-based accident prevention and energy-saving smart building automatic control operation system - Google Patents

Abstract

The present invention relates to an AI-based accident prevention and energy-saving smart building automatic control operating system. AI that enables the creation of meaningful new multi-virtual facilities as well as making it possible to determine or control the efficiency of a building based on these new multi-virtual facilities, prevent accidents, and save energy. It is about accident prevention and energy saving smart building automatic control operating system.

Description

AI-based accident prevention and energy-saving smart building automatic control operation system}

The present invention relates to an AI-based accident prevention and energy-saving smart building automatic control operating system. AI that enables the creation of meaningful new multi-virtual facilities as well as making it possible to determine or control the efficiency of a building based on these new multi-virtual facilities, prevent accidents, and save energy. It is about accident prevention and energy saving smart building automatic control operating system.

In general, in recent years, of course, the number of facilities provided in a building has increased, and various facilities provided in the building account for most of the total energy consumption of the building. Most of them result in inefficient energy consumption because they are designed assuming a full load.

In order to solve these problems, a technology is needed to continuously monitor the operation status and actual efficiency of the facility to maintain the facility in an optimal state. Reliability is low and high labor costs are required.

Various technologies have been proposed to solve these conventional problems. For example, Patent No. 10-2005-0081019 published by the Korean Intellectual Property Office measures and collects operation information for each facility in a building and various real-time environmental information inside and outside the building, An intelligent control information device for optimal management and energy saving of office building facilities, which can organize and predict the environmental requirements of occupants for each room in the building and perform optimal operation suitable for the rated characteristics of the facility, has been disclosed. Technology cannot create new meaningful information by combining information on facilities provided in a building by users. Therefore, in the related art, users directly mash up status information on various facilities provided in a building to generate new meaningful information. Thus, there is an urgent need for the development of technologies that enable efficient management of building facilities.

Publication No. 10-2005-0081019 "Intelligent control information device for optimal management and energy saving of office building facilities"

An object of the present invention is to solve this problem, and it is possible to create meaningful new complex virtual facilities by mashing up virtual facilities corresponding to various facilities provided in a building based on AI. It is to provide an AI-based accident prevention and energy-saving smart building automatic control operating system that makes it possible to judge or control the efficiency of buildings based on complex virtual facilities, prevent accidents, and save energy.

In order to achieve this purpose, a facility unit 1, an internal network unit 2 that processes data of the facility unit 1 and transmits the data to a central control center, and a signal received from the facility unit 1 is transmitted to the internal network. The central control center (3), which is processed and received through the unit (2) and is in charge of overall automatic control operation, receives data from the central control center (3), performs failure prediction, visualizes the data, and It is achieved by the AI-based accident prevention and energy-saving smart building automatic control operating system according to the present invention, which includes an artificial intelligence unit 4 that acquires data and promotes failure prediction.

The AI-based accident prevention and energy-saving smart building automatic control operating system according to the present invention not only enables the creation of meaningful new complex virtual facilities by mashing up based on AI, but also the Efficiency can be judged or controlled, accidents can be prevented, and energy can be saved, which has excellent effects to meet the various needs of building managers.

1 is a schematic configuration diagram of an AI-based accident prevention and energy saving smart building automatic control operating system according to the present invention
Figure 2 is a schematic configuration diagram of the equipment of the AI-based accident prevention and energy saving smart building automatic control operating system according to the present invention
Figure 3 is a schematic block diagram of the central control center of the AI-based accident prevention and energy saving smart building automatic control operating system according to the present invention
Figures 4a, 4b, 4c is a schematic block diagram of the internal network unit, HMI and conversion unit of the AI-based accident prevention and energy saving smart building automatic control operating system according to the present invention
5 is a schematic block diagram of the artificial intelligence unit of the present invention
6 is a flowchart of energy saving of the AI-based accident prevention and energy saving smart building automatic control operating system according to the present invention
7 is a flowchart of accident prevention of AI-based accident prevention and energy saving smart building automatic control operating system according to the present invention
8 is information on the national research and development project of the AI-based accident prevention and energy saving smart building automatic control operating system according to the present invention.

As shown in FIG. 1, the AI-based accident prevention and energy saving smart building automatic control operating system (A) according to the present invention processes the facility unit (1) and the data of the facility unit (1) to control the central control center (3) and the central control center (3) in which the signal received from the facility unit (1) is processed and received through the internal network unit (2) and is in charge of the automatic control operation. ) and an artificial intelligence unit 4 that receives data from the central control center 3, performs failure prediction, visualizes data, and acquires other external data to enhance failure prediction.

The equipment unit 1 includes power equipment 11, air conditioning equipment 12, lighting equipment 13, disaster prevention equipment 14, heating and cooling equipment 15, energy saving equipment 16, and photovoltaic equipment 17. Including, and may further include various types of building facilities such as communication facilities.

The power facility 11 is a facility that distributes power supplied by a power company to electricity users that require it, and transmits power supplied from a switchboard receiving power from the power company and a branch line. It includes a distribution panel for distributing to users, and a watt-hour meter for measuring the amount of power supplied by the power company and the amount of power used by the devices using electricity.

The air conditioner 12 is a facility that makes the environment inside the building pleasant by controlling the temperature and humidity inside the building and removing fine dust in the air, and determines whether a heater and air conditioner for temperature control, and their operation. A temperature sensor that detects the temperature to control the humidity, a humidity sensor that detects the humidity to determine whether or not the dehumidifier is operating, a ventilator that discharges fine dust in the air to the outside, and a ventilator It includes a dust sensor that detects the density of fine dust to determine whether or not to operate.

The lighting equipment 13 is equipment for illuminating the inside of a building, and includes a lighting fixture, a timer for determining lighting timing of the lighting fixture, an illuminance sensor, and an entry/exit detection sensor.

The disaster prevention facility 14 includes a fire detector and a fire extinguisher for recognizing and extinguishing a fire when a fire occurs, and includes a damping unit for attenuating seismic waves when an earthquake occurs, and the air-conditioning facility 15 adjusts the temperature inside the building to the human body at the highest level. It includes an air conditioner that raises or lowers the temperature inside the building to suitably adjust the temperature, and the energy saving facility 16 is for using the energy used in the building most efficiently and includes facilities such as a condensate discharge facility, The photovoltaic facility 17 includes facilities such as solar cells and storage batteries.

The facility unit 1 includes various building facilities such as power facilities, lighting facilities, air conditioning facilities, disaster prevention facilities, sanitary facilities, air conditioning and heating facilities, and photovoltaic facilities, and each building facility 11, 12, ... It is composed of devices (11a, 12a, ...), and for example, the air conditioning facility 12 of the facility 1 includes an air conditioner, a variable air volume device, a fan coil unit, a convector, a radiator, an air conditioner, a ventilation fan, and the like. Devices 12a, ... are included, and the heating and cooling facility 15 includes on-site devices 15a, ... such as a boiler, an internal motor, a cooling tower, a heat exchanger, and an ice thermal storage facility.

In the facility 1, a DDC (Direct Digit Control) 10 is installed to communicate with various field devices 11a, 12a, ... of various facilities 1 installed in the field, and the DDC 10 is installed in the field. It controls the operation of the devices (11a, 12a, ...), collects and analyzes the situation information of each terminal device (10a) of the facility installed in the field, and sends the collected data to the central control center through the internal network unit (2). Send to (3). The DDC 10 is provided in each equipment unit 1, receives data of terminal devices 10a such as, for example, thermometers, valves, and sensors, and transfers the received data to the central network unit 2 through the internal network unit 2. It transmits to the control center 3 or transmits commands received from the central control center 3 to the terminal device 10a to control the operation of the terminal device 10a, thereby controlling various field devices 11a, 12a, ..) to control.

The internal network unit 2 performs a function of processing data of the equipment unit 1 and transmitting the data to the central control center 3 .

For the conversion data collected from the DDC 10, the internal network unit 2 performs preprocessing tasks of integrating, refining, reducing, and transforming into data for assembly and disassembly of packets, error detection and correction through preprocessing software. and a FEP for transmitting to the central control center 3 as pre-processing data.

The internal network unit 2 is composed of a device in an active state and a device in a standby state in a redundant manner, and performs a switchover to a device in a standby state according to an abnormality check result to provide continuous and continuous service.

The internal network unit 2 is shown in FIG. 4, and in detail, FIG. 4a is a block diagram of the internal network unit 2 of FIG. 1, and FIG. 4b is a block diagram of the HMI unit 21. , FIG. 4C is a block diagram of a converting unit 23 (Convert Agent).

The internal network unit 2 includes an HMI unit 21, a storage unit 22, and a conversion unit 23 (Convert Agent), and the HMI unit 21 is a subordinate assigned to itself. It manages and controls the DDCs 10 of the facility unit 1, which are components.

The HMI unit 21 collects and stores raw data of the DDCs 10 to be controlled, requests an operation command to a specific DDC 10 according to a user's request, and receives a response corresponding to the requested data from the DDC 10 Receives data and displays it.

The storage unit 22 stores necessary items such as collected directory monitoring and data.

The conversion unit 23, including the data file creation unit 23a, checks whether there is a collection for each collected directory, creates a collection if there is none, and performs a function of learning and detecting data for each DDC 10. do.

As shown in FIG. 4B, the HMI unit 21 includes a controller 21a that manages and controls the overall operation of the HMI 21 and transmits generated data to the central control center 3, and a user's request. A display unit 21b for displaying response data according to the above, a main power supply unit 21c for supplying commercial power to the HMI unit 21, and operating when an abnormal voltage occurs to supply auxiliary power to the HMI unit 21 It consists of a sub power supply unit 21d.

The conversion unit 23 is a part that converts data so that the data collected by the DDC 10 can be transmitted from the HMI 21 to the artificial intelligence unit 4, and the conversion unit 23 , as shown in FIG. 4C, including a data file generating unit 23a and a communication unit 23b communicating with other components.

The data file creation unit 23a creates a new file at a certain time every day (eg, midnight) from the file generated by the HMI 21, and the generated file is generated at a certain time period (eg, 15 minutes). interval), a new data line is added to the end of the file, the file to be created is in CSV file format, and the files in the same DDC folder have the same column head.

Directories and files created by the HMI 21 must not be changed by the conversion unit 23 .

The function of the conversion unit 23 monitors a designated directory, and when a new file is created or modified, the data of the file is transferred to the detect command of the artificial intelligence unit 4, and the conversion unit 23 converts 1 per directory It is executed one by one, new data can be added to the user-data item of Detect, the DDC directory name is used as the device-id, and the information of the file to be monitored is saved and used when starting anew. data or file information generated after the last monitoring file is transferred to the artificial intelligence unit 4.

The central control center 3 performs a function of comprehensively monitoring, controlling, and managing the situation of the entire building, and as shown in FIG. 3, the central control center 3 includes a storage unit 30, Data acquisition unit 31, control unit 32, air conditioning operation unit 33, heating and cooling operation unit 34, power operation unit 35, energy saving operation unit 36, lighting operation unit 37, disaster prevention operation unit 38, sun A light operation unit 39 is included.

The storage unit 30 stores all the data necessary for building management, for example, the range of appropriate temperatures for each time period in the winter season inside and outside the building, the appropriate temperature range for each time period in spring and autumn, inside and outside the building Range, heating supply temperature, heating return temperature, domestic hot water supply temperature, domestic hot water return temperature, cooling water supply temperature, cooling water return temperature, outdoor unit supply temperature, outdoor unit return temperature, appropriate reservoir water level, fire extinguisher water level, appropriate parking CO value, cooling tower temperature setting , solar energy storage tank temperature, heating hot water pipe pressure, heating return pipe pressure, cooling supply pressure, cooling return pressure, basement CO value, etc. Also, various programs required for building management are stored.

And, in the storage unit 30, the terminal device 10a used in the DDC 10 of the equipment unit 1, for example, a terminal device 10a such as a thermometer, a valve, and a sensor, is purchased at the time of purchase and is appropriate. Detailed specific information about the terminal device 10a, such as the period of use and the manufacturer, is also stored, and information to be replaced at an appropriate period through an appropriate replacement period for accident prevention is stored.

The data acquisition unit 31 has a function of converting and collecting the data collected by the DDC 10 into data suitable for the artificial intelligence unit 4 .

The controller 32 controls the overall situation of the central control center 3 and controls each component.

The air conditioning operation unit 33 includes a heater and an air conditioner, a temperature sensor for detecting temperature to determine whether they are operating, a dehumidifier for controlling humidity, and a humidity sensor for determining whether the dehumidifier is operating. Controlling the terminal device 10a, such as a humidity sensor, a ventilator that discharges fine dust in the air to the outside, and a dust sensor that detects the density of fine dust to determine whether the ventilator is operating or not, to an optimum temperature perform a function

The air-conditioning operation unit 34 controls the air conditioner that raises or lowers the temperature inside the building so as to adjust the temperature inside the building most suitable for the human body. It performs the function of controlling the proper temperature.

The power management unit 35 includes a switchboard that receives power from the power company, a switchboard that distributes the power supplied from the power receiver to electricity users through a branch line, and the amount of power supplied from the power company and the devices that use electricity. A watt-hour meter that measures the amount of power used is controlled to distribute and use power to have optimal efficiency using the terminal device 10a installed on the power facility.

The energy saving operation unit 36 performs a function of efficiently controlling the use of energy through the terminal device 10a installed on the energy saving facility so that the energy used in the building is most efficiently used.

The lighting operation unit 37 performs a function of efficiently controlling lighting fixtures installed inside and outside the building, a timer for determining lighting timing of the lighting fixtures, an illuminance sensor, and an access sensor.

The disaster prevention operation unit 38 includes a fire detector and a fire extinguisher for recognizing and extinguishing a fire when a fire occurs, and performs a function of controlling an attenuation unit for attenuating seismic waves to be operated when an earthquake occurs.

The photovoltaic operation unit 39 controls the photovoltaic facility 17 so that the photovoltaic facility 17 is operated using the charged electricity when fully charged so that the photovoltaic facility 17 is operated efficiently and not using a rechargeable battery when the charge is insufficient. perform a function

The artificial intelligence unit 4 receives data from the central control center 3 to perform failure prediction, visualizes data, and acquires other external data to enhance failure prediction.

As shown in FIG. 5, the artificial intelligence unit 4 includes a failure prediction unit 41, a storage unit 42, a data visualization unit 43, a data communication unit 44, and an energy saving learning unit 45 includes

The failure predicting unit 41 receives, for example, data about the proper replacement timing of the plurality of terminal devices 10a used in the equipment unit 1, and as a result of learning based on this data, the equipment unit 1 Among the terminal devices 10a of ), if a specific terminal device 10a is not replaced within about one month, a failure prediction that a failure occurs is notified to the operator through the display unit.

The storage unit 42 stores learned data or programs, and reads and uses the stored data or programs when necessary.

The data visualization unit 43 is a component that expresses information and data in an easy and effective way to understand using visual elements such as diagrams, graphs, and maps, and based on this, prompt decision-making is performed, and time One of visualization, distribution visualization, relationship visualization, comparison visualization, and spatial visualization, or a combination of several methods is visualized.

The data communication unit 44 is provided to perform communication for transmission and reception of data with the central control center 3 or the outside.

The energy saving learning unit 45 is provided with a deep learning algorithm to compare input data to perform deep learning and predict future learned data.

The artificial intelligence unit 4 performs pre-processing of collection of learning data and data integration, refinement, reduction, and transformation for machine learning. It is characterized by newly creating or modifying a model of prediction, judgment, and response.

The artificial intelligence unit 4 notifies the facility through the HMI, monitors signals and data from the central control center 3, the HMI, and the FEP, checks data, and receives data through the FEP. If there is no error, FEP module failure or RTU failure diagnosis is presented to the operator.

The artificial intelligence unit 4 notifies the facility through the HMI, but there is no abnormality in data transmission within the system, but when an error occurs in data processing and the operator does not recognize it, the location of data processing is determined. Diagnose and display notifications to the operator.

The artificial intelligence unit 4 performs notification of human errors through the HMI; If the AI data values related to the input of a specific facility are learned, if the AI data is 0 or the data within the normal range is not displayed at the time of the input of the specific facility, a notification is displayed to the operator.

The artificial intelligence unit 4 performs notification of human errors through the HMI; It learns the occurrence of related DI and AI events when a specific facility is turned on or off, and displays a notification to the operator when a preset time elapses when a specific facility is turned on or off.

The operation of the AI-based accident prevention and energy saving smart building automatic control operating system (A) according to the present invention having such a configuration will be described in detail below with reference to the drawings.

First, as shown in FIG. 6, when the operation for energy saving is explained in the smart building automatic control operating system (A) of the present invention, when it starts (S1), the central control center (3) in the artificial intelligence unit (4) When requesting energy-related data stored in the storage unit 3 of ) (S2), the central control center 3 transmits the stored data to the artificial intelligence unit 4 for energy saving learning of the artificial intelligence unit 4 In unit 45, learning is started through the deep learning algorithm (S3), and it is determined whether the learning of the data is normally ended (S4), and the normal end is completed, and the learned deep learning data is stored in the storage unit 42, (S5), start the energy saving simulation, store the simulation result in the storage unit 42 (S6), compare the simulation result with the past energy operation record (S7), and if accepted, make the building energy manager aware of it It is output (S8), and if there is no need to accept it, it is terminated (S9).

The operation of the AI-based accident prevention and energy saving smart building automatic control operating system (A) according to the present invention having such a configuration will be described in detail below with reference to the drawings.

First, as shown in FIG. 7, when the operation for accident prevention is described in the smart building automatic control operating system (A) of the present invention, when it starts (S11), the central control center (3) in the artificial intelligence unit (4) When requesting data for the terminal device 10a of the facility unit stored in the storage unit 3 of ) (S12), the central control center 3 transmits the stored data to the artificial intelligence unit 4 so that the artificial intelligence unit In (4), the failure prediction unit 41 starts learning through the deep learning algorithm (S13), determines whether the learning of the data has normally ended (S14), and has been normally terminated, and stores the learned deep learning data in the storage unit (42) (S15), among the terminal devices (10a), the terminal device (10a) that has reached the appropriate replacement time is stored in the storage unit (42) (S16), and the terminal device that has reached the appropriate replacement time (10a) is notified to the manager by the artificial intelligence unit (4) or notified to the manager by the central control center (3) (S17), and it is confirmed whether the manager has confirmed the terminal device (10a) that has reached an appropriate replacement time. (S18), if it is confirmed, it ends (S18), and if it is not confirmed, it is returned again to continuously check whether or not it is confirmed. This makes it possible to prevent failures in advance.

The AI-based accident prevention and energy saving smart building automatic control operating system according to the present invention can be said to be capable of repeatedly manufacturing the same product in the manufacturing industry of the general smart building automatic control operating system, so it has industrial applicability. I would call it an invention.

A: AI-based accident prevention and energy saving smart building automatic control operating system
1: facility part 2: internal network part
3: Central Control Center 4: Artificial Intelligence Department
10: DDC 10a: terminal device
11: power facilities 11a, 12a, ‥: field devices
12: air conditioning equipment 13: lighting equipment
14: disaster prevention equipment 15: cooling and heating equipment
16: energy saving facility 17: solar power facility
21: HMI unit 22: storage unit
23: conversion unit 23a: data file generation unit
23a: communication unit 30: storage unit
31: data acquisition unit 32: control unit
33: air conditioning operation unit 34: cooling and heating operation unit
35: power operation department 36: energy saving operation department
37: lighting operation department 38: disaster prevention operation department
39: solar operation department 41: failure prevention department
42: storage unit 43: data visualization unit
44: data communication unit 45: energy saving learning unit

Claims (5)

In the AI-based accident prevention and energy saving smart building automatic control operating system (A),
The AI-based accident prevention and energy saving smart building automatic control operating system (A) has a facility unit (1) and an internal network unit that processes data of the facility unit (1) and transmits it to the central control center (3) ( 2), and the central control center (3), in which the signal received from the facility unit (1) is processed and received through the internal network unit (2), and is in charge of the automatic control operation as a whole, and the central control center (3) An artificial intelligence unit 4 that receives data to perform failure prediction, visualizes data, and acquires other external data to improve failure prediction,
The equipment unit 1 includes power equipment 11, air conditioning equipment 12, lighting equipment 13, disaster prevention equipment 14, heating and cooling equipment 15, energy saving equipment 16, and photovoltaic equipment 17. include,
In the facility 1, a DDC (Direct Digit Control) 10 is installed to communicate with various field devices 11a, 12a, ... of various facilities 1 installed in the field,
The DDC (10) controls the operation of field devices (11a, 12a, ...), collects and analyzes situation information of each terminal device (10a) of facilities installed in the field, and transmits the collected data to the internal network unit (2). ) to the central control center 3 through
The DDC (10) is provided in each equipment unit (1), receives data of the terminal device (10a) and transmits the received data to the central control center (3) through the internal network unit (2), or the central control center (3). AI-based, characterized in that the command received from the control center (3) is transmitted to the terminal device (10a) to control the operation of the terminal device (10a) to control various field devices (11a, 12a, ...) Accident prevention and energy saving smart building automatic control operating system
According to claim 1,
For the conversion data collected from the DDC 10, the internal network unit 2 performs preprocessing tasks of integrating, refining, reducing, and transforming into data for assembly and disassembly of packets, error detection and correction through preprocessing software. And a FEP for transmitting to the central control center 3 as pre-processing data by performing
The internal network unit 2 includes an HMI unit 21, a storage unit 22 and a conversion unit 23 (Convert Agent),
The HMI unit 21 collects and stores raw data of the DDCs 10 to be controlled, requests an operation command to a specific DDC 10 according to a user's request, and receives a response corresponding to the requested data from the DDC 10 Receive and display data
The storage unit 22 stores necessary items such as directory monitoring and data collected,
The conversion unit 23, including the data file creation unit 23a, checks whether there is a collection for each collected directory, creates a collection if not, and performs a function of learning and detecting data for each DDC 10. do,
The HMI unit 21 includes a controller 21a that manages and controls the overall operation of the HMI 21 and transmits generated data to the central control center 3, and a display on which response data according to a user's request is displayed. It consists of a means 21b, a main power supply unit 21c that supplies commercial power to the HMI unit 21, and a sub power unit 21d that operates when an abnormal voltage occurs and supplies auxiliary power to the HMI unit 21.
The conversion unit 23 includes a data file generation unit 23a and a communication unit 23b communicating with other components,
The data file generation unit 23a creates a new file from the file generated by the HMI 21 at a predetermined time every day, and creates the generated file so that a new data line is added to the end of the file at a regular time period. The generated file is in CSV file format, files in the same DDC folder have the same column head, and the directories and files created by the HMI 21 do not have to be changed by the conversion unit 23,
The conversion unit 23 monitors the designated directory, and when a new file is created or modified, the data of the corresponding file is transmitted as a detect command of the artificial intelligence unit 4, and the conversion unit 23 converts one file per directory. Execute, new data can be added to the user-data item of Detect, the DDC directory name is used as the device-id, and the information of the file to be monitored is saved and used when starting anew. AI-based accident prevention and energy-saving smart building automatic control operating system, characterized in that it transmits data or file information generated after the last monitoring file to the artificial intelligence unit (4)
According to claim 1,
The central control center 3 includes a data acquisition unit 31, a control unit 32, an air conditioning operation unit 33, a cooling/heating operation unit 34, a power operation unit 35, an energy saving operation unit 36, a lighting operation unit 37 ), including a disaster prevention operation unit 38 and a solar operation unit 39,
The storage unit 30 includes a range of appropriate temperatures for each time zone in the winter season inside and outside the building, a range of appropriate temperatures for each time zone in spring and autumn inside and outside the building, heating supply temperature, heating return temperature, and domestic hot water Supply temperature, domestic hot water return temperature, cooling water supply temperature, cooling water return temperature, outdoor unit supply temperature, outdoor unit water return temperature, appropriate water tank level, fire hydrant water level, appropriate parking lot CO value, cooling tower temperature setting, solar heat storage tank temperature, heating and hot water pipe pressure , Heating return pipe pressure, cooling supply pressure, cooling return pressure, and appropriate values required for building management, such as CO value in the basement, are stored, and programs necessary for building management are also stored, and the storage unit 30 stores the facility unit 1 The terminal device 10a used in the DDC 10 of the terminal device 10a, such as a thermometer, valve, and sensor, is also detailed and detailed information about the terminal device 10a, such as purchase period, proper use period, and manufacturer. stored, information to be replaced at an appropriate period through an appropriate replacement period for accident prevention is stored,
The data acquisition unit 31 performs a function of converting and collecting the data collected by the DDC 10 into data suitable for the artificial intelligence unit 4,
The controller 32 controls the overall situation of the central control center 3 and controls each component,
The air conditioning operation unit 33 includes a heater and an air conditioner, a temperature sensor for detecting temperature to determine whether they are operating, a dehumidifier for controlling humidity, and a humidity sensor for determining whether the dehumidifier is operating. Controlling the terminal device 10a, such as a humidity sensor, a ventilator that discharges fine dust in the air to the outside, and a dust sensor that detects the density of fine dust to determine whether the ventilator is operating or not, to an optimum temperature perform a function,
The air-conditioning operation unit 34 controls the air conditioner that raises or lowers the temperature inside the building so as to adjust the temperature inside the building most suitable for the human body. It performs the function of controlling the appropriate temperature,
The power management unit 35 includes a switchboard that receives power from the power company, a switchboard that distributes the power supplied from the power receiver to electricity users through a branch line, and the amount of power supplied from the power company and the devices that use electricity. A watt-hour meter that measures the amount of power used is controlled to distribute and use power to have optimal efficiency using the terminal device 10a installed on the power facility,
The energy saving operation unit 36 performs a function of efficiently controlling the use of energy through the terminal device 10a installed on the energy saving facility so that the energy used in the building is most efficiently used,
The lighting operation unit 37 performs a function of controlling the efficient use of lighting fixtures installed inside and outside the building, a timer for determining lighting timing of the lighting fixtures, an illuminance sensor, and an access sensor,
The disaster prevention operating unit 38 includes a fire detector and a fire extinguisher for recognizing and extinguishing a fire when a fire occurs, and controls the operation of a damping unit for attenuating seismic waves when an earthquake occurs,
The photovoltaic operation unit 39 controls the photovoltaic facility 17 so that the photovoltaic facility 17 is operated using the charged electricity when fully charged so that the photovoltaic facility 17 is operated efficiently and not using a rechargeable battery when the charge is insufficient. AI-based accident prevention and energy-saving smart building automatic control operating system characterized by performing functions
According to claim 1,
The artificial intelligence unit 4 includes a failure prediction unit 41, a storage unit 42, a data visualization unit 43, a data communication unit 44, and an energy saving learning unit 45,
The failure predicting unit 41 receives data about the proper replacement time of the plurality of terminal devices 10a used in the facility unit 1, and as a result of learning based on this data, the terminal device of the facility unit 1 Among (10a), if a specific terminal device (10a) is not replaced within a certain period of time, a failure prediction that a failure occurs is notified to the operator through the display unit,
The storage unit 42 stores the learned data or program,
The data visualization unit 43 enables quick decision-making to be performed by enabling easy and effective understanding of information and data using visual elements such as charts, graphs, and maps, and includes time visualization, distribution visualization, relationship visualization, Comparative visualization, spatial visualization, or a combination of several methods are visualized.
The data communication unit 44 is provided to perform communication for transmission and reception of data with the central control center 3 or the outside.
The energy saving learning unit 45 is provided with a deep learning algorithm to compare input data to perform deep learning and predict future learned data,
The artificial intelligence unit 4 performs pre-processing of collection of learning data and data integration, refinement, reduction, and transformation for machine learning. Newly create or modify models of prediction, judgment, and response,
The artificial intelligence unit 4 notifies the facility through the HMI, monitors signals and data from the central control center 3, the HMI, and the FEP, checks data, and receives data through the FEP. If there is no error, FEP module error or RTU failure diagnosis is presented to the operator,
The artificial intelligence unit 4 notifies the facility through the HMI, but there is no abnormality in data transmission within the system, but when an error occurs in data processing and the operator does not recognize it, the location of data processing is determined. AI-based accident prevention and energy-saving smart building automatic control operating system characterized by diagnosing and displaying notifications to operators
In the AI-based accident prevention and energy saving smart building automatic control operating system,
The AI-based accident prevention and energy saving smart building automatic control operating system,
Operation for energy saving,
When it starts (S1), when the artificial intelligence unit (4) requests energy-related data stored in the storage unit (3) of the central control center (3) (S2), the data stored in the central control center (3) is sent to the artificial intelligence unit (S2). It is sent to unit 4, and the energy saving learning unit 45 of the artificial intelligence unit 4 starts learning through a deep learning algorithm (S3), and determines whether the learning of data is normally terminated (S4), The normal end is completed, the learned deep learning data is stored in the storage unit 42 (S5), the energy saving simulation is started, the simulation results are stored in the storage unit 42 (S6), the simulation results and the past energy operation records Compare with (S7), and if accepted, output it so that the building energy manager recognizes it (S8), and terminate it if there is no need to accept it (S9),
For accident prevention,
When it starts (S11), when the artificial intelligence unit 4 requests data for the terminal device 10a of the facility unit stored in the storage unit 3 of the central control center 3 (S12), the central control center 3 ) transmits the stored data to the artificial intelligence unit 4, the failure prediction unit 41 of the artificial intelligence unit 4 starts learning through the deep learning algorithm (S13), and checks whether the learning of the data has been normally completed. It is judged (S14), the normal termination has been completed and the learned deep learning data is stored in the storage unit 42 (S15), and the terminal device 10a that has reached the proper replacement time among the terminal devices 10a is stored in the storage unit. (42), and the terminal device (10a) that has reached an appropriate replacement time is notified to the manager by the artificial intelligence unit (4) or notified to the manager by the central control center (3) (S17), It is characterized in that the manager checks whether the terminal device 10a that has reached the appropriate replacement time is checked (S18), and if it is confirmed, it is terminated (S18), and if it is not confirmed, it is returned again to continuously check whether the confirmation is made AI-based accident prevention and energy saving smart building automatic control operating system

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