KR20190098784A - Intelligent electric power facility management system based on Merged Reality of Internet of Things, Big data, 3D Technology, Method thereof, and Computer readable storage medium having the method - Google Patents

Abstract

Disclosed is an intelligent electric power conduit pipe management system based on merged reality (MR) of Internet of Things (IoT), big data and 3D technology. The intelligent electric power conduit pipe management system comprises: a plurality of IoT sensors for sensing facilities installed in an electric power conduit pipe and generating sensing information; a collection terminal unit for collecting the sensing information and generating big data; and a management server for analyzing the big data through predetermined criteria or life prediction models to generate analysis information and mapping the analysis information in a predetermined 3D map to output the same into MR.

Description

Intelligent electric power management system based on convergence of the Internet of things, big data, 3D technology, method, and computer readable storage medium storing the method.Integrated electric power facility management system based on Merged Reality of Internet of Things, Big data, 3D Technology, Method approximately, and Computer readable storage medium having the method}

The present invention relates to an intelligent power bulb management system, and more specifically, using the Internet of Things (IoT), big data, and 3D Merged Reality (MR) technology, real-time analysis of the equipment state of the power sphere, and utilizing 3D maps. An intelligent power tool management system and method for realizing remote monitoring / control.

Most power and communal districts that pass through the city underground are connected to power lines and communication lines. In particular, power lines connected through underground power ports are located at regular distances to connect power lines. The risk of fire is quite high at these connection points, and fires have occurred several times, causing enormous damage.

Underground power outlets have high voltage transmission and distribution lines installed on both sides of a very narrow passageway around 2m, and are inspected from time to time by the personnel in charge.However, the length is shorter than 200 ~ 300m and a few tens of kilometers long. have.

Existing detection linear detectors, smoke, and flame detectors are not transmitted early due to a certain time after a fire has occurred.

In addition, the electric power or community district is an unmanned management system, and the manager enters and exits only at regular tours. According to the distribution line inspection guideline, the power facility patrol is inspected once a month by walking and the regular inspection of fire-fighting facilities by monthly. Therefore, when a fire occurs, the perceived speed is inevitably slow, and the entrance of an electric power outlet for firefighting activities is almost impossible due to flame, high heat, and toxic gas, which makes it difficult for firefighters to enter, causing serious secondary damage.

In particular, when a failure and / or fire occurs in the power or the common sphere, there is a problem that can not be prevented because it is detected after the occurrence.

In addition, when a failure and / or fire occurs in the electric power or the common sphere, there is a problem that can not determine the exact site situation. Therefore, there is a problem that proper measures cannot be executed in a short time.

Therefore, before a fire occurs in the power district, there is a need for a method for detecting an early warning and generating an alarm.

In addition, before a failure occurs in the electric power premises, there is a demand for a method of preemptively preventing a warning of a failure risk.

In addition, even after a disaster occurs in the power district, there is a demand for a method that can substantially check on the screen whether or not the disaster treatment team can enter.

1. Korean Patent Publication No. 10-2011-0072468 2. Korean Patent No. 10-1238247 3. Korean Patent Publication No. 10-2008-0038721

The present invention has been proposed to solve the problems according to the above background, and provides an intelligent power tool management system and method that can detect an early warning of a disaster and generate an alarm before a disaster occurs in the power district. There is a purpose.

In addition, another object of the present invention is to provide an intelligent power bulb management system and method that enables a user to check whether a treatment is possible on a screen even after a disaster occurs in the power sphere.

In order to achieve the above-mentioned problems, the present invention provides an intelligent power bulb management system based on the Internet of Things, Big Data, and 3D Technology Convergence Reality, which can detect an early warning of a disaster and generate an alarm before a disaster occurs in the power district. To provide.

The intelligent power bulb management system,

A plurality of IoT sensors configured to generate sensing information by sensing the facilities installed in the power district;

A collection terminal unit which collects the sensing information to generate big data; And

A management server that analyzes the big data through a predetermined determination criterion or life prediction model to generate analysis information, and maps the analysis information to a preset 3D map and outputs it to a merged reality (MR); Characterized in that it comprises a.

At this time, the management server, a collection module for collecting the big data; An analysis module for analyzing the big data to generate analysis information through a predetermined determination criterion and a life prediction model; And a processing module which maps the analysis information to a predetermined 3D map and outputs the merged reality to Merged Reality (MR).

In addition, the facilities may be characterized in that any one of the connection point, the cable and the structure of the cable.

The determination criterion is a deterioration diagnosis criterion at the connection point, and the deterioration diagnosis criterion is used to analyze deterioration or deformation between the connection points by deriving a correlation between current, vibration, and humidity information acquired at the connection point and the connection point temperature. It may be characterized in that it is established in advance to.

In addition, the life prediction model may be a pre-establishment of the life prediction of the cable to determine the degradation state of the cable by deriving the cable current value-temperature correlation from the acquired cable current value and the cable temperature. Can be.

In addition, the determination criterion is a leak and vibration cause reference in the structure, to determine the state of the structure through the correlation between the acquired vibration value of the structure and the drainage trend acquired according to whether the drainage pump is operated. It may be characterized in that it is established for.

In addition, the merged reality may be characterized by synthesizing the 3D map and the spatial information of the inside and outside of the power sphere previously measured.

The intelligent power tool management system may further include imagers for photographing image due diligence of the facilities to generate image due diligence information.

In addition, the management server may generate a road view by reflecting the location information of the IoT sensors in the image real-time shooting information.

The management server may generate guide information for each grade according to the analysis information and transmit the guide information to the outside, and the guide information may be at least one of a voice, a graphic, and a text.

On the other hand, another embodiment of the present invention, (a) a plurality of IoT sensors for sensing the facilities installed in the power sphere to generate the sensing information; (b) a collection terminal unit collecting the sensing information to generate big data; (c) a management server generating analysis information by analyzing the big data through a predetermined criterion or life prediction model; And (d) mapping, by the management server, the analysis information to a preset 3D map and outputting the result to a merged reality (MR), the Internet of Things, big data, and 3D technology convergence. It can provide a complex reality-based intelligent power bulb management method.

The determination criterion may be a criterion for deterioration diagnosis at the connection point, the method comprising: acquiring current, vibration, and humidity at the connection point; And deriving a correlation between the current, vibration, and humidity with the connection point temperature. The deterioration and deformation between the connection points may be generated.

The life prediction model may further include obtaining a cable current value and a cable temperature from the cable; And deriving a correlation between the current value and the cable temperature from the cable current value and the cable temperature.

The determination criterion may be a leak and vibration cause reference in the structure, and the method further comprises: acquiring a vibration value of the structure; And obtaining a displacement amount according to whether the drain pump is operated. And deriving a correlation between the vibration value of the structure and the flow rate trend.

On the other hand, another embodiment of the present invention to provide a computer-readable storage medium storing the program code for executing the above-described IoT, big data, 3D technology convergence reality-based intelligent power management method Can be.

According to the present invention, since intelligent power bulb management is possible on the basis of the IoT, big data, and 3D technology convergence reality, it is possible to detect an early warning and generate an alarm before a disaster occurs in the power zone. In other words, accurate failure prediction and quick response in case of emergency are possible.

In addition, another effect of the present invention is that it is possible to confirm whether or not the processing can be performed on the screen even after a disaster occurs in the electric power sphere. In other words, when fire fighting equipment enters for recovery, etc., 3D is implemented as a convergent reality, and the actual data is reflected in the virtual space as it is. Therefore, the user can check whether the width of the screen is also accessible.

In addition, the effect of the present invention can be reduced power point inspection and instantaneous cost, it is possible to prevent disasters such as power failure / fire of the old power sphere.

1 is a block diagram illustrating an intelligent power tool management system based on the IoT, big data, and 3D technology convergence reality according to an embodiment of the present invention.
FIG. 2 is a detailed configuration diagram of the management server 140 shown in FIG. 1.
3 is a detailed configuration diagram in which the collection terminal unit 120 illustrated in FIG. 1 is connected to the communication terminal 250.
4 is a flowchart illustrating a process of managing intelligent power bulbs based on the IoT, big data, and 3D technology convergence reality according to an embodiment of the present invention.
5 is a screen example showing a graph of big data for each distribution line according to an embodiment of the present invention.
6 is a screen example showing a comprehensive status of an IoT sensor according to an embodiment of the present invention.
7 is an example of a live-action screen according to an embodiment of the present invention.
8 is an example of a real-time monitoring screen according to an embodiment of the present invention.
9 is a screen example showing a temperature alarm of an IoT sensor according to an embodiment of the present invention.
10 is a graph showing an example of cable life according to a load pattern according to a temporary embodiment of the present invention.
11 is an example of an editor screen of a 3D power equipment according to an embodiment of the present invention.
12 is a screen example of a fire hazard warning according to an embodiment of the present invention.

As the invention allows for various changes and numerous embodiments, particular embodiments will be illustrated in the drawings and described in detail in the written description. However, this is not intended to limit the present invention to specific embodiments, it should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention.

In describing each drawing, like reference numerals are used for like elements. Terms such as first and second may be used to describe various components, but the components should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another.

For example, without departing from the scope of the present invention, the first component may be referred to as the second component, and similarly, the second component may also be referred to as the first component. The term “and / or” includes any combination of a plurality of related items or any item of a plurality of related items.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art.

Terms such as those defined in the commonly used dictionaries should be construed as having meanings consistent with the meanings in the context of the related art, and are not construed in ideal or excessively formal meanings unless expressly defined in this application. Should not.

With reference to the accompanying drawings, using the Internet of Things, Big Data, 3D Technology Merged Reality (MR) technology according to an embodiment of the present invention in real time analysis of the equipment state of the power sphere and using the 3D map remote An intelligent power tool management system and method for realizing monitoring / control will be described in detail.

1 is a block diagram illustrating an intelligent power tool management system based on the IoT, big data, and 3D technology convergence reality according to an embodiment of the present invention. Referring to FIG. 1, the intelligent power bulb management system 100 includes a plurality of IoT sensors 110-1 to 110-n that generate sensing information by sensing facilities installed in a power sphere (not shown). The collection terminal unit 120 collects information to generate big data, analyzes the big data through a predetermined determination criterion or a life prediction model, and generates analysis information, and maps the analysis information to a preset 3D map. It may be configured to include a management server 140 for outputting to the merged reality (MR).

The management server 140 is connected to the collection terminal unit 120 through the network 130. Here, the network 130 may be a "power grid" or "power company grid" and / or communication network. Such a power grid may refer to a power plant (not shown), a main grid element (not shown) infrastructure. A power grid can also be thought of as a network that can be layered and divided into several different grid layers. In particular, the power grid refers to a network configured for communication by flowing a data signal to an existing power line using a power line communication (PLC) technology. The power line consists of a high voltage power line (about 22.9 kV) and / or a low voltage power line (about 110-220 V). In addition, the power grid includes a repeater, a power communication modem, a transformer, and the like. The power communication modem performs a function of connecting a power network with an existing communication network.

The communication network refers to a connection structure capable of exchanging information between respective nodes such as a plurality of terminals and servers, and an example of such a network 120 includes a 3rd generation partnership project (3GPP) network and a long term evolution (LTE) network. Network, 5th Generation Partnership Project (5GPP) Network, World Interoperability for Microwave Access (WIMAX) Network, Internet, Local Area Network (WLAN), Wireless Local Area Network (WLAN), Wide Area Network (WAN), PAN (Personal Area Network), Wibro (Wireless Broadband), WiFi (Wireless Fidelity), HSDPA (High Speed Downlink Packet Access), Bluetooth (Bluetooth) Network, NFC Network, Satellite Broadcast Network, Analog Broadcast Network, Digital Multimedia Broadcasting (DMB) Networks, optical communication networks, and the like.

The first to n th IoT sensors 110-1 to 110-n generate a sensing information by sensing a state of facilities installed in the power sphere. These facilities include structures, cables, cable connection points, blowers and the like. Therefore, the following big data collection and analysis is possible.

division Acquisition Information Analysis content Take advantage of the results Connection point Temperature, current, vibration, humidity Phase degradation and deformation Deterioration diagnosis standard cable Temperature change compared to current value Identify cable degradation Life Prediction Model structure Drainage pump operation, vibration Displacement Trend, Crack Identify and reinforce the cause of leakage and vibration

To this end, the first to n-th IoT sensor (110-1 to 110-n) is a temperature sensor for sensing the connection point temperature, etc., a current sensor for measuring the current value, a vibration sensor for sensing the vibration of the structure, Humidity sensor for measuring the humidity in the power sphere, a wind speed sensor for sensing the wind speed of the blower may be configured.

The first to nth IoT sensors 110-1 to 110-n may be detachable sensors.

1, the collection terminal unit 120 collects sensing information generated by the first to nth IoT sensors 110-1 to 110-n to generate big data, and generates the big data. The transmission is transmitted to the management server 140 through the network 130. For this purpose, the collection terminal unit 120 may include a microprocessor, communication circuit, memory, and the like. Of course, the communication circuit may include a communication modem, a LAN card, and the like.

The management server 140 is communicatively connected with the collection terminal unit 120 through the network 130. Thus, big data is received from the collection terminal unit 120. Thereafter, the analysis of the big data is performed through a predetermined decision criterion or a life prediction model to generate analysis information, and the analysis information is mapped to a preset 3D map and output to Merged Reality (MR). Do this.

FIG. 2 is a detailed configuration diagram of the management server 140 shown in FIG. 1. Referring to FIG. 2, the controller 200 may include a controller 200, a communication circuit 201, a storage 202, and the like. The controller 200 may include: a collecting module 210 for collecting the big data, an analysis module 220 for analyzing the big data through preset decision criteria and a life prediction model to generate analysis information; And a processing module 230 for mapping the analysis information to a preset 3D map and outputting the merged reality to Merged Reality (MR). The communication circuit 201 may include a modem, a LAN card, or the like for connecting to the network 130.

The storage 202 analyzes the big data through a predetermined decision criterion or life prediction model to generate analysis information, and maps the analysis information to a preset 3D map to a merged reality (MR). Store programs, data, etc., with output algorithms. In particular, the storage 202 may store 3D software.

Therefore, the management server 140 may implement a merged reality (MR), which is a combination of the space information inside and outside the power sphere previously measured and the 3D map, and output the same to a display (not shown). In addition, the road view may be generated and provided by reflecting the location information of the IoT sensors in the real-time photographing information.

The storage 202 may be a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (eg, SD or XD memory, etc.), RAM (Random Access Memory, RAM), Static Random Access Memory (SRAM), ReadOnly Memory (ROM), Electrically Erasable Programmable ReadOnly Memory (EEPROM), Programmable ReadOnly Memory (PROM), Magnetic Memory, Magnetic Disk, Optical Disk It may include a storage medium of the type. The storage 202 may operate in association with a web storage or a cloud server that performs a storage function on the Internet.

3 is a detailed configuration diagram in which the collection terminal unit 120 illustrated in FIG. 1 is connected to the communication terminal 250. 3 is a configuration diagram for sensing temperature, vibration, and current. Referring to FIG. 3, first to third collection terminal units 320-1 to 320-3 are configured, and each collection terminal unit 320-1 to 320-3 includes sensors 311-1, 311-2 and 311-3. ) Are configured. In other words, in the case of three phases, the first collection terminal unit 320-1 has a first distribution line (DL) temperature sensor 311-1 on A phase and a second DL temperature sensor 311-2 on B phase. A third DL temperature sensor 311-3 is disposed on C. Of course, in the case of two phases, two sensors may be arranged. Similarly, three DL vibration sensors are disposed in the second collection terminal unit 320-2, and three Rogowski coils are used in the third collection terminal unit 320-3 to sense current. Is placed. Of course, sensors for wind speed, humidity, etc. may be further configured.

Referring to FIG. 3, the first to third collection terminal units 320-1 to 320-3 are connected to each other in series, and the third collection terminal unit 320-3 is a serial LAN converter 330. The sensing information is transmitted to the data processing unit 340 through. The serial LAN converter 330 transmits sensing information to the data processing unit 340 through serial communication. The data processing unit 340 generates big data using the sensing information and transmits the big data to the management server 140. To this end, the data processing unit 340 may include a microprocessor, a communication circuit, a memory, and the like.

Meanwhile, the communication between the third collection terminal unit 320-3 and the serial LAN converter 330 and / or the communication between the serial LAN converter 330 and the data processing unit 340 may be wired or wireless communication. In addition, in FIG. 3, although the first to third collection terminal units 320-1 to 320-3 are connected in series, serial and / or parallel are possible.

In addition, first to third image pickup devices 311, 312, and 313 configured to photograph the state of the sensors 311-1, 311-2 and 311-3 and / or the state of the power sphere to generate image information are configured. Of course, in Figure 3 may be configured for each collection terminal unit (320-1 to 320-3), it is also possible to be configured as a single image camera. The first to third image cameras 311, 312, and 313 may be rotated according to a manager's instructions. Of course, the imager itself can be rotated up and down, left and right, 360 °, and a rotation assembly for this may be configured separately.

The imaging apparatuses 311, 312, and 313 may be Closed Circuit Television (CCTV), Charge-Coupled Device (CCD) cameras, complementary metal-oxide semiconductor (CMOS) cameras, or the like.

4 is a flowchart illustrating a process of managing intelligent power bulbs based on the IoT, big data, and 3D technology convergence reality according to an embodiment of the present invention. Referring to FIG. 4, the IoT sensors 110-1 through 110-n of FIG. 1 generate sensing information by sensing facilities installed in a power port (not shown). When the sensing information is generated, the collection terminal unit 120 of FIG. 1 collects the sensing information, generates big data, and transmits the generated big data to the management server 140 (steps S410, S420, and S430).

Thereafter, the management server 140 analyzes the big data through a predetermined criterion or life prediction model to generate analysis information. Here, the determination criteria and the life prediction model are set in advance, which are generated through the following process.

1) Standard for diagnosis of deterioration at connection point

Degradation diagnosis criteria for deterioration and deformation between the connection points are generated through a process of acquiring current, vibration, and humidity at a connection point, and deriving a correlation between the current, vibration, and humidity with the connection point temperature. In other words, according to the current distribution line thermal image diagnosis manual, the criteria for deterioration of power distribution facilities are simply determined based on the temperature difference and the surrounding equipment as follows.

Processing equipment Underground Criteria 14 ℃ -20 ℃ O / A 2 ℃ -4 ℃ O / A Possibility of deterioration 21 ℃ ~ 60 ℃ O / A 5 ℃ -10 ℃ O / A Later progress with defects  > 60 ℃ O / A    > 11 ℃ O / A   flaw

O / A is an abbreviation for Over Ambient.

Therefore, if big data is used, it is possible to establish a deterioration determination criterion considering current temperature, vibration value, and humidity change in connection point temperature, which affect the deterioration of connection point. Can be extracted.

2) life prediction model

A life prediction model for grasping the deterioration state of the cable is generated by obtaining a cable current value and a cable temperature from a cable and deriving a correlation between the current value and the cable temperature from the cable current value and the cable temperature. . Such life prediction models include the paper 2013 IEEE Condition Monitoring and Diagnosis Conference, "The Influence Estimation of Aging Factor in MV Cable Using Weibull Distribution and Neural Networks". According to this, the weight ranking by cable deterioration factor is shown in order of: ■ load fluctuation, ■ load rise rate, ■ years of use, ■ 36 months average load before failure, ■ 24 months average load before failure, and ■ average load three years before failure. In addition to the cable current values, the power tool management system analyzes the temperature trend and enables more accurate life prediction models. 10 is a view illustrating an example of cable life according to a load pattern. This will be described later.

As described above, it can be used for deterioration impact analysis and deterioration acceleration estimation, and remaining life prediction and selective precise diagnosis can be derived. This is shown in the table below.

division Current situation (As-Is) Future situation (To-Be) Diagnosis Target ㅇ Cable after a certain period of time
O Defective cable ㅇ Cable with less than 4 years of remaining life Facility replacement ㅇ Replace the diagnostic result as "imminent" ㅇ Replace after final diagnosis within 1 year of remaining life

3) Leakage and Vibration Cause Standards in Structures

The timing of the structure can be determined by acquiring the vibration value of the structure, acquiring the drainage trend according to the operation of the drainage pump, and deriving a correlation between the vibration value of the structure and the drainage trend. Appropriate drainage determination criteria can be created to track leakage and vibration sources.

In other words, according to the current distribution line inspection guideline, the daily inspection of power equipment structures is performed once a month in parallel with the instantaneous time, which makes it difficult to immediately recognize and take measures when leakage occurs in power equipment. Flooding caused by leakage of electric power (for example, flooding of electric power by leaking tap water) is difficult to grasp by monthly inspection.

Therefore, in one embodiment of the present invention, the state of the structure through the flow rate trend and correlation analysis through the vibration sensor of the power bulb structure, the water level sensor and submersion sensor of the power supply collection well, the monitoring sensor for monitoring the operation of the drain pump Can be immediately remotely identified and can be reinforced by identifying the cause of leakage and vibration through precise inspection.

Thereafter, the management server 140 maps the analysis information to a predetermined 3D map and outputs it to a merged reality (MR) (step S440). In other words, the spatial information (X · Y · Z) data obtained through internal / external survey of the power sphere is first acquired to match the location information of the ground structure outside the power sphere and the underground equipment inside the power sphere, and the location information of the IoT sensor is obtained. Create the reflected road view to generate 3D map fusion reality (MR).

All the facilities in the power district represented by the 3D map are composed of objects and can be edited when changing the on-site facilities. All big data acquired from the IoT sensor is represented in real time on the corresponding facilities on the 3D map. In the event of an emergency, the 3D map screen moves directly to the location of the facility with the IoT sensor, allowing the facility operator to intuitively check for abnormalities.

In addition, the output of internal and external equipment surveys are input to the NDIS (New Distribution Information System) database and used for power facility management. NDIS refers to the new power distribution information system used by KEPCO for the management of electric power facilities, and it includes power facility drawing and number management, design and construction management, facility information review and modification, NDIS DB accuracy / NDIS basic map (digital topography, Cadastral map, etc.)

On the other hand, the management server 140 generates guide information for each grade based on the analysis information and transmits it (steps S450 and S460). In other words, the rating can be divided into attention, attention, and defect. Taking the case of temperature as an example, attention is 2 degreeC or more, attention is 5 degreeC or more, and a defect can mention 10 degreeC or more. Guidance information is provided to the user of the external and / or management server in a combination of voice, graphics, and text.

That is, the terminal may include a mobile phone, a smart phone, a laptop computer, a personal computer, a digital broadcasting terminal, a personal digital assistant (PDA), a portable multimedia player (PMP), The electronic device may be used in a small electronic device such as a navigation device, a note pad, an MP3 player, and the like, but is not limited thereto. A device capable of charging a battery may be sufficient as the wireless power receiver according to the present invention is mounted.

Therefore, before an emergency occurs, accurate failure prediction and diagnostic information of the facility can be managed in real time. In addition, after an emergency, it is easy to grasp the site so that related organizations such as fire departments can cooperate and respond quickly.

5 is a screen example showing a graph of big data for each distribution line according to an embodiment of the present invention. Referring to FIG. 5, a big data graph is shown for each distribution line. In particular, FIG. 5 is an example of a screen showing facility temperature of a power premises in which power is supplied to each region.

6 is a screen example showing a comprehensive status of an IoT sensor according to an embodiment of the present invention. Referring to FIG. 6, current statuses of the facilities by the IoT sensors may be displayed and control of a power tool related field equipment such as a drain pump, lighting, a door, a ventilation fan, and the like.

7 is a live-action screen according to an embodiment of the present invention. Referring to FIG. 7, it is an example of an actual field screen shot photographed using an image photographing device (311 to 313 of FIG. 3).

8 is an example of a real-time monitoring screen according to an embodiment of the present invention. Referring to Figure 8, it shows a temperature graph for each of the phase A, B, C phase of the power supply facilities supplied by each region.

9 is a screen example showing a temperature alarm of an IoT sensor according to an embodiment of the present invention. Referring to FIG. 9, when a certain temperature or more is reached, an alarm is output from a corresponding power tool.

10 is a graph showing an example of cable life according to a load pattern according to an embodiment of the present invention. Referring to FIG. 10, a graph of failure after 15 years of installation and a graph of failure after 24 years of installation are shown. In this graph, the x-axis represents the period (month) and the y-axis represents the load current.

11 is an example of an editor screen of a 3D power equipment according to an embodiment of the present invention. Referring to FIG. 11, a user may edit a selection of a power bulb position, a selection of a facility for a power bulb, an arrangement, and the like in this editor screen.

12 is a screen example of a fire hazard warning according to an embodiment of the present invention. Referring to FIG. 12, a screen example of informing a fire alarm of mass production 3D / L of a specific power sphere is shown.

The term “… module” described in the specification means a unit for processing at least one function or operation, which may be implemented by hardware or software or a combination of hardware and software. In hardware implementation, an application specific integrated circuit (ASIC), a digital signal processing (DSP), a programmable logic device (PLD), a field programmable gate array (FPGA), a processor, a controller, and a microprocessor are designed to perform the above functions. , Other electronic units, or a combination thereof. In the software implementation, the module may be implemented as a module that performs the above-described function. The software may be stored in a memory unit and executed by a processor. The memory unit or processor may employ various means well known to those skilled in the art.

The intelligent power tool management method based on the Internet of Things, Big Data, and 3D Technology Convergence Reality according to the present invention may be implemented in the form of program instructions that can be executed by various computer means and recorded in a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination.

Program instructions recorded on the media may be those specially designed and constructed for the purposes of the present invention, or they may be of the kind well-known and available to those having skill in the computer software arts. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and magnetic disks, such as floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like.

The medium may be a transmission medium such as an optical or metal wire, a waveguide, or the like including a carrier wave for transmitting a signal specifying a program command, a data structure, or the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

As described above, the present invention has been described by specific embodiments such as specific components and the like. For those skilled in the art, various modifications and variations are possible from such description.

100: intelligent power bulb management system
110-1 to 110-n: first to nth IoT sensors
120: collection terminal unit
130: network
140: management server

Claims (20)

A plurality of IoT sensors configured to generate sensing information by sensing the facilities installed in the power district;
A collection terminal unit which collects the sensing information to generate big data; And
A management server that analyzes the big data through a predetermined determination criterion or life prediction model to generate analysis information, and maps the analysis information to a preset 3D map and outputs it to a merged reality (MR);
Internet of things, big data, 3D technology convergence reality-based intelligent power ball management system comprising a.
The method of claim 1,
The management server,
A collection module for collecting the big data;
An analysis module for analyzing the big data to generate analysis information through a predetermined determination criterion and a life prediction model; And
Internet of Things, Big Data, 3D Technology Convergence Reality-based intelligent power tool management, comprising: a processing module for mapping the analysis information to a predetermined 3D map and outputting it to a merged reality (MR: Merged Reality) system. The method of claim 1,
Internet of Things, Big Data, 3D technology convergence reality-based intelligent power management system, characterized in that the facility is any one of the cable connection point, cable and structure.
The method of claim 3, wherein
The determination criterion is a deterioration diagnosis criterion at the connection point, and the deterioration diagnosis criterion is used to analyze deterioration or deformation between the connection points by deriving a correlation between the current, vibration, and humidity information acquired at the connection point and the connection point temperature. Intelligent power bulb management system based on the convergence reality of the Internet of Things, big data, and 3D technology, which is established in advance.
The method of claim 3, wherein
The life prediction model is characterized in that the Internet of Things is pre-established in order to determine the degradation state of the cable by deriving the cable current value-temperature correlation from the obtained cable current value and the cable temperature , Big Data, 3D Technology Convergence Reality-based Intelligent Power Bulb Management System. The method of claim 3, wherein
The determination criterion is a leak and vibration cause criterion in the structure, and is established to grasp the state of the structure through the correlation between the acquired vibration value of the structure and the drainage trend acquired according to whether the drainage pump is operated. Intelligent power sphere management system based on the convergence reality of the Internet of Things, big data, 3D technology.
The method of claim 1,
Merged Reality (MR) is an intelligent power sphere management based on the Internet of Things, Big Data, and 3D Technology convergence reality, wherein the 3D map is composed of spatial information inside and outside of the power sphere previously measured. system.
The method of claim 1,
Intelligent power tool management system based on the Internet of Things, Big Data, 3D Technology Convergence Reality, characterized in that it further comprises a;
The method of claim 8,
The management server generates a road view by reflecting the location information of the IoT sensors in the real-time shooting information, the IoT, big data, 3D technology convergence reality based intelligent power sphere management system.
The method of claim 1,
The mall management server generates guide information for each grade according to the analysis information and transmits the guide information to the outside, wherein the guide information is at least one of voice, graphics, and text. Reality-based intelligent power bulb management system.
(a) generating, by a plurality of IoT sensors, sensing information by sensing facilities installed in a power sphere;
(b) a collection terminal unit collecting the sensing information to generate big data;
(c) a management server generating analysis information by analyzing the big data through a predetermined criterion or life prediction model; And
(d) the management server mapping the analysis information to a preset 3D map and outputting it to a merged reality (MR);
Internet of things, big data, 3D technology convergence reality-based intelligent power sphere management method comprising a.
The method of claim 11,
The management server,
A collection module for collecting the big data;
An analysis module for analyzing the big data to generate analysis information through a predetermined determination criterion and a life prediction model; And
Internet of Things, Big Data, 3D Technology Convergence Reality-based intelligent power tool management, comprising: a processing module for mapping the analysis information to a predetermined 3D map and outputting it to a merged reality (MR: Merged Reality) Way.
The method of claim 11,
Internet of Things, Big Data, 3D technology convergence reality based intelligent power bulb management method characterized in that the facility is any one of the cable connection point, cable and structure.
The method of claim 13,
The criterion for criterion is a criterion for deterioration diagnosis at the connection point, the method comprising: acquiring current, vibration, and humidity at the connection point; And deriving a correlation between the current, vibration, and humidity with the connection point temperature; and analyzing the deterioration and deformation of the connection points with each other. How to manage power bulbs.
The method of claim 13,
The life prediction model may include obtaining a cable current value and a cable temperature from the cable; And deriving a correlation between the current value and the cable temperature from the cable current value and the cable temperature. The Internet of things, big data, and 3D technology convergence are generated by estimating the deterioration state of the cable from the cable current value and the cable temperature. Complex reality based intelligent power bulb management system.
The method of claim 13,
The determination criterion is a leak and vibration cause criterion in the structure, and obtaining a vibration value of the structure; And obtaining a displacement amount according to whether the drain pump is operated. And deriving a correlation between the vibration value of the structure and the drainage trend. The intelligent power sphere management method based on the internet of things, big data, and 3D technology convergence reality is generated by identifying a state of the structure.
The method of claim 13,
Merged Reality (MR) is an intelligent power sphere management based on the Internet of Things, Big Data, and 3D Technology convergence reality, wherein the 3D map is composed of spatial information inside and outside of the power sphere previously measured. Way.
The method of claim 13,
Internet of things, big data, 3D technology convergence reality-based intelligent power tool management method further comprises a; image cameras for generating image real-time shooting information by photographing the image of the facilities.
The method of claim 18,
The management server generates a road view by reflecting the location information of the IoT sensors in the real-time shooting information, the IoT, big data, 3D technology convergence reality based intelligent power sphere management method.
20. A computer readable storage medium storing program code for executing an intelligent power tool management method based on the Internet of Things, Big Data, and 3D Technology Convergence Reality according to any one of claims 11 to 19.

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