WO2019098430A1 - Site safety management system using unmanned detection device - Google Patents

Site safety management system using unmanned detection device Download PDF

Info

Publication number
WO2019098430A1
WO2019098430A1 PCT/KR2017/013268 KR2017013268W WO2019098430A1 WO 2019098430 A1 WO2019098430 A1 WO 2019098430A1 KR 2017013268 W KR2017013268 W KR 2017013268W WO 2019098430 A1 WO2019098430 A1 WO 2019098430A1
Authority
WO
WIPO (PCT)
Prior art keywords
management
management site
site
image
server
Prior art date
Application number
PCT/KR2017/013268
Other languages
French (fr)
Korean (ko)
Inventor
박병강
Original Assignee
주식회사 아이오티봇
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 주식회사 아이오티봇 filed Critical 주식회사 아이오티봇
Publication of WO2019098430A1 publication Critical patent/WO2019098430A1/en

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Definitions

  • the present invention relates to a management system in which a facility, a sensor, and a camera are installed and a mobile terminal owned by a worker is located and is connected to the management site through a communication network and receives data transmitted from the management site, And transmitting the processed data to the management site.
  • management site An underground facility site is an environment where high-risk, high-temperature, and other risks are inherent, and a system for monitoring various risk factors should be operated.
  • site visits by workers in order to take measures in case of problems in subway, tunnel, bridge, etc. hereinafter, "management site”). It is difficult to actually confirm and judge the state information of the site where the problem occurs.
  • the safety inspection of the management site such as the underground facilities is periodically visited by the person in charge, and the safety inspection is carried out using the five senses and the basic equipment.
  • the safety management system there is no safety management system by collecting and analyzing data related to the safety accident.
  • on-site facilities such as subways and tunnels and safety inspections are operated on a basis of periodic manpower patrols.
  • it is not equipped with a system that can monitor equipment failure or fire in the tunnel.
  • patrol personnel or personnel in charge move directly to the site, I have a problem to do.
  • This system is designed to capture the field image of the management site, model the shot scene image as 3D image, identify the object location of interest from the image, generate 3D image and location mapping information based on 3D data and location identification information, Site image reception, operator position identification, 3D image output by operator's mobile terminal, supervision target site information management, environment for the worker, alarm function for informing the situation to the field worker in case of an emergency, and for immediate withdrawal .
  • the present invention relates to a management system in which a facility, a sensor, a camera, a mobile terminal carried by a worker are located, a management site in which an object of interest to be managed exists, And a server for transmitting and processing the processing data to the management site, wherein the management site security management system comprises:
  • the server includes an image processing unit for processing and managing interest object image data received from the management site, and a facility management unit for managing the management site as the processed data.
  • the image processor is configured to model a video signal of an image of a management site as a 3D image, identify a position of an object of interest in the management site from the 3D image, and map the 3D modeled image and the location identification information
  • the facility management unit may be configured to indicate a failover breakdown in the mobile terminal, receive and record an action history and a result from the mobile terminal, and receive and record measurement data of the sensor and the facility from the mobile terminal.
  • the image of the management site may be transmitted from the sensor or camera to the server.
  • the image of the management site may be transmitted from the mobile terminal to the server.
  • the mobile terminal comprises: means for displaying a moving path image of an operator received from a server; means for displaying a position of an object of interest on the moving path image received from the server; And means for performing meter reading.
  • the image processing unit of the server includes means for transmitting a moving route image of the mobile terminal to a management site to allow the mobile terminal of an operator at the management site to receive and display the image, And may further include means for transmitting a notification signal.
  • the senor and the camera of the management site are installed in an unmanned detection device moving along a rail installed on a management site, the power of the unmanned detection device is supplied through the rail, May be performed by power line communication (PLC).
  • PLC power line communication
  • unattended detection devices there are a number of unattended detection devices within the management site, and these unattended detection devices may be connected to form a LAN network for PLC communications.
  • the management site safety management system may further include a central control center for performing security management of the management site via a communication network.
  • the object of interest in the management site is a crack in the management site
  • the server includes means for collecting big data necessary for crack diagnosis at the management site and performing deep running to construct a diagnostic model, And a means for diagnosing a crack using the diagnostic model constructed by the deep run.
  • the object of interest of the management site is an insulator or an insulation installation
  • the server may comprise means for performing position recognition of the insulator or insulation installation using the tag for position recognition.
  • the object of interest in the management site is a fire
  • the server senses an accident such as a fire with a sensor and a camera at a management site, receives the transmitted sensing information, And transmitting the command to the management site.
  • the object of interest of the management site is a subway screen door
  • the server receives and analyzes the screen door failure information to estimate the position of the screen door, , Means for taking action steps, and means for sending an action command to the management site where the screen door has failed.
  • Safety management targets such as subways, bridges, tunnels, underground facilities, etc. If there is a problem in the facilities installed on the site, it is necessary to make it possible to locate the facility to the operator easily through the video if necessary, If it is detected, an alarm signal is given to an operator so that a quick response can be made, and the stability of the operator can be ensured.
  • the present invention can easily and stably provide the operator with access to the site location by identifying the worker's position at the management site visit using the image technology and providing the movement route image to the worker terminal, (Automatic meter reading, analysis, diagnosis, action, report of results) through on-site facility management.
  • FIG. 1 is a general schematic view of an underground facility safety management system according to an embodiment of the present invention.
  • FIG. 2 is a block diagram of a mobile terminal 104 of a field worker at a management site.
  • FIG. 3 is a configuration diagram of the video management function 300 of the server 120 and is a specific functional diagram of the video processing unit 122 of the server 120 shown in FIG.
  • FIG. 4 shows a specific function of the facility management unit 124 of FIG. 1, which is a configuration of the facility management function 400 of the server 120.
  • FIG. 4 shows a specific function of the facility management unit 124 of FIG. 1, which is a configuration of the facility management function 400 of the server 120.
  • FIG. 5 is a flow chart illustrating a transaction-based operation between an operator's mobile terminal 104 and a server 120, according to an embodiment of the present invention.
  • FIG. 6 shows an unattended detection device 106 that automatically detects a scene situation while moving along a rail 105 installed in a management site 100. As shown in FIG.
  • FIG. 7 is a bottom perspective view of the unattended detection device 106 separated from the rail 105.
  • FIG. 8 is an illustration of an embodiment of configuring a LAN network for PLC communications to allow a plurality of unattended detection devices 106 to perform PLC communications.
  • FIG. 9 shows an example of a redundant ring network configuration as an example of a connection network of a plurality of unattended detection apparatuses 106. As shown in FIG.
  • FIG. 10 is an exemplary view of a connection configuration between the central control center 500 and the unmanned detection device 106. As shown in FIG.
  • 11 is a view for explaining a method of cracking wall surface cracks in an underground facility by deep running.
  • Fig. 12 is a diagram for explaining how an unmanned detection apparatus 106 moves an image of an insulator or an insulator located at an interval D while moving along the rail 105. Fig.
  • FIG. 13 shows a process of monitoring and processing an accident such as a subway fire.
  • Fig. 14 shows the basic concept of an action process in the event of a screen door failure.
  • Fig. 15 shows a workflow when a screen door fails in realizing the concept of Fig.
  • FIG. 1 is a general schematic view of an underground facility safety management system according to an embodiment of the present invention.
  • the left block on the basis of the network 110 is provided with an underground facility 101, a sensor 102, a CCTV 103, and the like.
  • a mobile terminal 104 (100).
  • the management site 100 is an underground facility.
  • the mobile terminal 104 may be a mobile phone, a tablet, a notebook, a Google Glass, a HUD, or the like.
  • the right block based on the network 110, represents the management site 100, that is, the server 120 that receives the data transmitted from the underground facility and sends it to the management site 100.
  • the server 120 mainly includes an image processing unit 122 for processing and managing an image of data transmitted and received through the data transmission and reception unit 121, a facility management unit 124 for managing facilities on the site, And a database 123 interlocked with facilities management and the like.
  • the image processing unit 122 models the image signal of the underground facility (including the object of interest such as the operator) as a 3D image, identifies the location of the underground facility from the image, and displays the 3D image data and the location identification information Mapping.
  • the on-site image capturing of the underground facility can be taken by the sensor 102 and the CCTV 103 unattended and transmitted to the server 120.
  • An operator put in the underground facility captures an image, 120).
  • the scene of the underground facility may be photographed by the sensor 102 and the CCTV 103 unattended and transmitted to the mobile terminal 104, and the mobile terminal 104 may transmit the captured image to the server 120.
  • a central control center (control console) may be provided in the server 120 or separately. This will be described later.
  • FIG. 2 is a block diagram of the mobile terminal 104 possessed by a field worker at a management site.
  • FIG. 3 is a configuration diagram of the video management function 300 of the server 120 and is a specific functional diagram of the video processing unit 122 of the server 120 shown in FIG.
  • the operator can photograph the image and transmit it to the server 120 through the mobile terminal 104, or transmit the image of the worker in the management site 100 (underground facility) to the sensor 102 and the CCTV 103 may be photographed unmanned and transmitted to the mobile terminal 104 and may be transmitted from the mobile terminal 104 to the server 120.
  • the location identification of the operator (or the object of interest) from the image can be performed by creating and informing a virtual underground facility location marker using the image photographed by the CCTV 103.
  • 3D image data and underground facility location marker DB 306 are used for this purpose.
  • the worker movement route image is transmitted to the management site 100 via the network 110.
  • the worker's mobile terminal 104 at the management site 100 receives and displays (201) it.
  • the server may include the ability to display and monitor images directly. These functions can be performed by NVR (network video record) software.
  • NVR network video record
  • 'Access control Automatic recognition and alarm for unauthorized personnel
  • Security Immediate penetration and security response by periodic or real time movement monitoring
  • Automatic data storage It can be expanded and stored according to the requirements.
  • Control It enables the supervisor of the central monitoring room to control in real time, and remote control and control through the mobile device in the absence of the manager.
  • Tracking Automatic tracking is possible and real time storage of tracked image data is prevented.
  • Accident prevention Prevention of fire accidents and various environmental accidents by alarming users by measurement of gas and temperature
  • facility monitoring Various facilities in underground facilities such as tunnels Contributing to prevention of trouble by automatic visual inspection in real time " It can be carried out by sintering.
  • FIG. 4 shows a specific function of the facility management unit 124 of FIG. 1, which is a configuration of the facility management function 400 of the server 120.
  • FIG. 4 shows a specific function of the facility management unit 124 of FIG. 1, which is a configuration of the facility management function 400 of the server 120.
  • FIG. 5 is a flow chart illustrating a transaction-based operation between an operator's mobile terminal 104 and a server 120, according to an embodiment of the present invention.
  • the CCTV 103 of the underground facility transmits the photographed image to the server 120.
  • an operator who has moved to the field can transmit images to the server.
  • the server 120 analyzes the image.
  • 3D image of another movement route and destination is transmitted to the mobile terminal 104 of the worker in the position information
  • the operator's mobile terminal 104 displays the moving route and the destination and outputs an image.
  • the sensed data obtained by real-time sensing of the worksite at the facilities / sensors 101 and 102 at the underground facilities are transmitted to the mobile terminal 104.
  • the mobile terminal 104 collects sensing data and reports it to the server 120.
  • the server 120 monitors the management site and transmits an alarm to the mobile terminal 104 when an emergency occurs in the field.
  • the mobile terminal 104 outputs the received emergency notification, and issues an alert such as evacuation guidance.
  • the unattended detection device 106 for example, a rail robot moves along a rail 105 installed in the management site 100 to automatically detect a site situation.
  • the power of the unmanned detection device 106 is supplied from the rail 105, and the data transmission / reception of the unmanned detection device 106 is performed by power line communication (PLC).
  • PLC power line communication
  • the unmanned detection device 106 is provided with detection means necessary for various field measurements such as a sensor and a camera.
  • FIG. 7 is a bottom perspective view of the unattended detection device 106 separated from the rail 105.
  • FIG. The power / data wheels 109a and 109b which are in contact with the power lines 107a and 103b provided on the rails 105 to receive power and transmit and receive data, .
  • each of the detection devices preferably has a network configuration.
  • FIG. 8 is an illustration of an embodiment of configuring a LAN network for PLC communications to allow a plurality of unattended detection devices 106 to perform PLC communications.
  • Each unmanned detection device 106, 106 ' is connected to each PLC communication module 111, 111' through a power line provided on the rail 105.
  • FIG. 9 shows an example of a redundant ring network configuration as an example of a connection network of a plurality of unattended detection apparatuses 106.
  • a plurality of unmanned detection devices 106 are connected to the optical switch hub 113 via an optical line in the form of a ring. Some of the unmanned detection devices 106 are directly optically connected to the optical switch hub 113.
  • FIG. 10 is an exemplary view of a connection configuration between the central control center 500 attached to (or independent of) the above-mentioned server 120 and the unattended detection device 106.
  • FIG. 10 is an exemplary view of a connection configuration between the central control center 500 attached to (or independent of) the above-mentioned server 120 and the unattended detection device 106.
  • the functions of the central control center are: access control: automatic recognition and alarm for unauthorized personnel, security: instant penetration and security response with periodic or real-time movement monitoring, automatic data storage: real- (Robot) (unmanned detection device 106) moves and controls the remote control and control through the mobile device in the absence of the manager. Automatic detection of traces along the line when detected, real-time storage of tracked image data, prevention of accidents, prevention of fire accidents and various environmental accidents by alarming users by measuring gas and temperature.
  • FIG. 10 it can be seen that a plurality of unattended detection devices 106 are connected to and controlled by the central control center 500 under the control of the communication room 600 (for example, the server 120 of FIG. 1).
  • the communication room 600 is provided with an FDF, a data server, a KVM, an optical switch hub, an NVR control server, and a storage device provided in a rack.
  • the central control center 500 and the communication room 600 may be connected to the UTP CAT No. 6 line and the communication room 600 and the unattended detection devices 106 may be connected to the optical SM 6-core 9/125 line or the existing network Can be connected using.
  • Various applications of the above-described safety management system of the present invention will be described below.
  • Various applications include smart remote monitoring (built-in thermal camera and built-in various sensors to detect accident signs, detection of heat in catenary / track circuits, measurement of oxygen concentration, detection of harmful gases such as CO / ammonia, intruder detection)
  • Remote mobile type CCTV direct identification and control of the accident site, designated person in case of an accident can be commanded on-site by mobile, interactive broadcasting possible: listening to the situation on the spot, direct communication with on-site passengers and employees: Etc.), evacuation of passengers and response to crisis situations (possibility of quick response at the scene of an accident: full-range mobile broadcasting, remote command of the accident response team, etc.), and other facility check.
  • Filter-Based Crack Diagnosis After the image signal is smoothed by a filter (kernel, etc.) As shown in Fig. With this method, an effect similar to smoothing with a finely divided filter can be obtained. Filters can be applied to various sizes and types of filters. However, this method requires post-processing such as connected component analysis, median filter, and morphological operation.
  • Deep run-based crack diagnosis is to treat an image segment in which a crack exists as a detection target object. Construction of positive / negative data, generation of learning data, construction of Deep Neural Network, Deep Learning machine learning, building a crack detection model, and automatically diagnosing cracks from the input image.
  • the input image is analyzed by color histogram and color modeling to analyze the crack image. This method is also used to diagnose water leakage and whitening of the wall.
  • Fig. 11 illustrates a crack diagnosis method by deep running. Although not explicitly shown in FIG. 1, a crack diagnosis can be performed by constructing a deep running crack diagnostic analysis unit in the server 120.
  • Big data curation that builds big data by collecting tunnel, underground facility / subway data, road data, crack data, and many other data needed for crack diagnosis
  • a camera provided in the unmanned detection device 106 captures a wall image of a management site such as a tunnel, a subway, or an underground facility. At this time, the zone is partitioned on the target wall surface, and the zone image is captured. The captured image is transmitted to the server 120. In another embodiment, the image capturing of this step may be performed by an operator who has entered the field through the mobile terminal 104 and may transmit the captured image to the server 120.
  • Tags such as zone, position (GPS), and time are assigned to the captured image data.
  • 1150 Classify image data by segment.
  • an insulator or insulator is positioned at an interval corresponding to the distance D between the pantographs 720 and 730 of the electric motor vehicle 710 and the image is captured while the unmanned detection device 106 moves along the rail 105 .
  • the angle of view of the camera installed on each unmanned detector 106 moving along the rail 105 is 90 degrees or more, the upward angle is 15 to 25 degrees, the range of the subject is about 290 degrees Rear), respectively.
  • Location identification RFID, Barcord, etc.
  • RFID RFID, Barcord, etc.
  • the advantage of this case is that accurate measurement can be made because the absolute coordinates of the specific facility are indicated, and the position of the current rail robot (unmanned detection device 106) can be informed to the user. It becomes.
  • the location recognition tag may be attached to an installation such as an insulator or may be attached to the rail 105 on which the unmanned detection device 106 is guided at regular intervals.
  • image diagnosis by machine learning and diagnosis by artificial intelligence can be applied to diagnosis of the condition of the insulator and the like.
  • FIG. 13 shows the monitoring and processing process of an accident such as a subway fire, a collision, a derailment, and a stop.
  • An accident such as a fire is detected by a fire detection sensor of the unmanned detection device 106 and a camera (1210).
  • the server 120 receives the detection information, performs processing such as image processing, state recognition, and measures, and issues a command to the management site (operation 1220).
  • the central control center may be interlocked to perform tasks such as monitoring the site or taking measures (1340).
  • countermeasures such as operating a warning device in the facility are performed (1230).
  • the server 120 issues a command to the mobile terminal 104 of the worker at the management site in parallel with, or independently of, issuing an instruction such as non-artificial countermeasures to the facility at the management site, And may order an artificial action.
  • the unmanned detection device 106 moves along the rail 105 installed along the screen door in the subway station to check the remote location of the signage, check whether the screen door is operated, check the lighting condition and cleanliness, check for lost property and other facilities, And conducts routine monitoring activities such as guidance.
  • this routine monitoring action can be designed to quickly respond to an early fire event by incorporating a fire extinguishing liquid and an injector into the unmanned detection device 106 (e.g., 4-5 m injection / No backfire phenomenon at the time).
  • a fire extinguishing liquid and an injector into the unmanned detection device 106 (e.g., 4-5 m injection / No backfire phenomenon at the time).
  • routine monitoring activity may include environmental data collection functions such as temperature, humidity, and hazardous gases of the unmanned detection device 106.
  • Figure 14 shows the basic concept of the action process when a screen door fails and shows a schematic workflow between the site (history) and the server (or central control center) and the worker.
  • the server 120 receives and analyzes these pieces of information, calculates the position of the screen door, determines whether the contents of the screen door are faulty, draws a measure, etc. 1330 and transmits a command to the field history where the screen door is broken 1340 In parallel to this, it is transmitted to the worker (1350).
  • FIG. 15 shows a workflow when a screen door fails in realizing the concept of Fig. History, maintenance sites, central control room, and maintenance companies.
  • FIG. 15 illustrates a case where the occurrence of a failure is confirmed as a result of inspection by a maintenance worker in the field, without detecting the failure by the unmanned detection device 106.
  • FIG. 15 illustrates a case where the occurrence of a failure is confirmed as a result of inspection by a maintenance worker in the field, without detecting the failure by the unmanned detection device 106.
  • the central control room confirms the breakdown history, requests maintenance and maintenance plan from the maintenance and repair company, and commands the unmanned detection device 106 to move to the site, thereby monitoring the failure situation of the site remotely.
  • the maintenance company receiving the work plan identifies the fault situation, submits the work plan to the history and central control office, and moves the maintenance worker to the site.
  • the maintenance worker can also carry the mobile terminal 104 of the present invention shown in Fig. Accordingly, the maintenance worker can transmit and receive the work plan using the APP installed in the mobile terminal 104 when the maintenance worker moves to the site.
  • the central control room confirms the work plan and the repair worker and sends work instructions to the history and repair companies.
  • the work instruction sheet may also be transmitted to the maintenance worker's mobile terminal 104.
  • a fingerprint recognition sensor scanner
  • the supervisor or the maintenance worker can recognize the fingerprint recognition card possessed by the scanner of the unmanned detection device 106, thereby notifying the central control room of the start and end of the job as well as the identification.
  • the unmanned detection device 106 is configured such that the number of persons registered in the work exceeds a radius of 20 meters, the information is stored together with the alarm, and the SMS / alarm content is sent to the person in charge of history (for example, , It is possible to send an alarm broadcast from the unmanned detection device 106 at the corresponding position.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Tourism & Hospitality (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Geometry (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Computer Graphics (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Alarm Systems (AREA)

Abstract

In order to prevent a negligence accident in a management site such as an underground facility, 24-hour real-time monitoring (for example, AI-based), accident occurrence prediction through data collection and analysis, remote control of a site situation when an accident occurs, and the like are necessary. The present invention provides: a method for ensuring the safety of a worker by enabling the worker to easily access, through an image, the location of a management site at which site measures are necessary; and/or a system for managing data of a management site in real time such that the data can be automatically collected, analyzed, diagnosed, and reported in real time. The system is configured to perform functions of capturing a site image of the management site, modeling the captured site image to a 3D image, identifying the location of an object of interest from the image, generating location mapping information with the 3D image on the basis of 3D data and location identification information, receiving a site image when the worker visits the site, identifying the location of the worker, outputting the 3D image to a mobile terminal of the worker, managing management site information to be checked, providing an alarm for informing the site worker of a situation during an emergency situation in the surrounding environment of the worker such that the site worker can be immediately evacuated, and the like.

Description

무인탐지장치를 이용한 현장 안전관리 시스템On-site safety management system using unmanned detection device
본 발명은 설비, 센서, 카메라가 설치되고 작업자가 소지한 모바일 단말기가 위치하며 관리대상 관심객체가 존재하는 관리현장과, 이 관리현장과 통신네트워크를 통해 연결되어 관리현장에서 전송된 데이터를 수신하고 처리하여 관리현장으로 처리데이터를 전송하는 서버를 포함하는 관리현장 안전관리 시스템에 관한 것이다.The present invention relates to a management system in which a facility, a sensor, and a camera are installed and a mobile terminal owned by a worker is located and is connected to the management site through a communication network and receives data transmitted from the management site, And transmitting the processed data to the management site.
현대도시의 과밀화와 도시미관 개선 등 환경에 대한 관심 증가로 배전 설비의 지중화율이 급속히 증가하였다. 이러한 지중시설 현장은 고압, 고열 등의 위험이 내재해 있는 환경으로 여러 위험 요인들을 모니터링하는 시스템이 운영되어야 한다. 이러한 지중시설 뿐만 아니라, 지하철, 터널, 교량 등의 관리대상 현장(이하 줄여서, '관리현장')에 문제가 발생한 경우 조치를 위하여 작업자의 현장 방문이 불가피하며, 현장의 위치를 작업자가 육안으로 확보하기 어렵고 문제 발생 현장의 상태정보를 정확히 확인하고 판단하기에 현실적으로 어려움이 있다.The increasing interest in the environment, such as the overcrowding of the modern city and the improvement of the city 's aesthetics, has rapidly increased the penetration rate of distribution facilities. Such an underground facility site is an environment where high-risk, high-temperature, and other risks are inherent, and a system for monitoring various risk factors should be operated. In addition to these underground facilities, there are inevitable site visits by workers in order to take measures in case of problems in subway, tunnel, bridge, etc. (hereinafter, "management site"). It is difficult to actually confirm and judge the state information of the site where the problem occurs.
이에 따라 작업자의 관리현장 투입시 이동경로의 안전을 확보할 수 있는 방안과 현장의 상태를 정확히 판단할 수 있는 신속한 정보가 필요하다.Therefore, it is necessary to provide information that can secure the safety of the route when the worker puts on the management site and quick information that can accurately determine the state of the site.
현재 지중시설 등 관리현장의 안전점검은 담당자가 주기적으로 현장을 방문하여 오감 및 기본장비를 활용해 안전점검을 실시하고 있으나 안전사고 관련 데이터수집 및 분석을 통한 안전관리시스템은 전무한 상황이다.At present, the safety inspection of the management site such as the underground facilities is periodically visited by the person in charge, and the safety inspection is carried out using the five senses and the basic equipment. However, there is no safety management system by collecting and analyzing data related to the safety accident.
또한, 지하철이나 터널 등의 구내 설비 및 안전점검은 주기적인 인력 순찰을 기본으로 운영되고 있다. 그러나 터널 내에서 발생하는 설비고장 또는 화재 등을 모니터링 할 수 있는 시스템을 갖추고 있지 못하며, 터널 내의 안전사고와 관련된 정보 및 상황을 정확하게 파악하기 위해서는 순찰 인력 또는 업무 담당자가 직접 현장으로 이동하여 육안으로 확인해야 하는 문제점을 가지고 있다. In addition, on-site facilities such as subways and tunnels and safety inspections are operated on a basis of periodic manpower patrols. However, it is not equipped with a system that can monitor equipment failure or fire in the tunnel. In order to accurately grasp the information and situation related to safety accidents in the tunnel, patrol personnel or personnel in charge move directly to the site, I have a problem to do.
참고로, 현재 지하 공공시설의 5년간 평균 사고발생수는 591건, 사망자수는 30명, 부상자수는 1,351명이라는 통계가 발표되어 있다.For reference, there are statistics that the average number of accidents in underground public facilities over the five years is 591, the number of fatalities is 30, and the number of injured persons is 1,351.
지중시설 등 관리현장의 안전사고 예방을 위해서는 24시간 실시간 모니터링(가령 AI 기반), 데이터수집 및 분석을 통한 사고발생 예측, 사고 발생시 현장상황의 원거리 통제 등이 필요한바, 본 발명은 관리현장 내 감시체계를 구축하여 인력의 한계를 극복하고 지중시설 등 관리현장에서 발생 가능한 안전사고와 관련된 모든 데이터를 수집 분석하여 자동으로 안전사고를 예측 감시하고, 관련 데이터를 이용하여 관리현장내 긴급 및 특이사항 발생시 조속한 대처가 가능하도록 상시 안전 망 감시 체계를 구축하는 것을 목적으로 한다.In order to prevent safety accidents at the management sites such as underground facilities, 24-hour real-time monitoring (for example, AI-based), prediction of accidents by data collection and analysis, and remote control of the situation in case of an accident are required. By establishing a system, we can overcome the limitation of manpower and collect and analyze all data related to safety accidents that can occur at the management site such as underground facilities, predict and monitor safety accidents automatically, and use related data to manage accidents and unusual situations The purpose of this system is to establish a safety monitoring system at all times to enable rapid response.
상기 과제를 해결하기 위하여, 영상을 통해 작업자에게 현장조치가 필요한 관리현장의 위치로 쉽게 접근할 수 있도록 하여 작업자의 안전을 확보하는 방법, 그리고/또는 관리현장의 데이터를 실시간 자동으로 수집, 분석, 진단, 보고할 수 있도록 관리하는 시스템이 제공된다. In order to solve the above problems, there is a method of ensuring the safety of the operator by allowing the operator to easily access the position of the management site requiring the on-site action through the video, and / or automatically collecting, analyzing, Diagnosis, and reporting is provided.
이 시스템은, 관리현장의 현장 영상을 촬영, 촬영된 현장 영상을 3D 영상으로 모델링, 영상으로부터 관심객체 위치식별, 3D 데이터와 위치식별 정보를 기반으로 3D 영상과 위치매핑 정보 생성, 작업자 현장 방문시 현장 영상 수신, 작업자 위치 식별, 작업자 모바일 단말기로 3D 영상 출력, 점검대상 관리현장 정보 관리, 작업자 주변환경 긴급상황시 현장 작업자에게 상황을 알려주어 즉시 철수할 수 있도록 알람 제공 등의 기능을 수행하도록 구성되는 것이 바람직하다. This system is designed to capture the field image of the management site, model the shot scene image as 3D image, identify the object location of interest from the image, generate 3D image and location mapping information based on 3D data and location identification information, Site image reception, operator position identification, 3D image output by operator's mobile terminal, supervision target site information management, environment for the worker, alarm function for informing the situation to the field worker in case of an emergency, and for immediate withdrawal .
구체적으로, 본 발명은 설비, 센서, 카메라가 설치되고 작업자가 소지한 모바일 단말기가 위치하며 관리대상 관심객체가 존재하는 관리현장과, 이 관리현장과 통신네트워크를 통해 연결되어 관리현장에서 전송된 데이터를 수신하고 처리하여 관리현장으로 처리데이터를 전송하는 서버를 포함하는 관리현장 안전관리 시스템을 제공함에 있어서,More specifically, the present invention relates to a management system in which a facility, a sensor, a camera, a mobile terminal carried by a worker are located, a management site in which an object of interest to be managed exists, And a server for transmitting and processing the processing data to the management site, wherein the management site security management system comprises:
상기 서버는 상기 관리현장으로부터 수신된 관심객체 영상 데이터를 처리하여 관리하는 영상처리부와, 처리된 데이터로써 상기 관리현장을 관리하는 설비관리부를 포함한다. The server includes an image processing unit for processing and managing interest object image data received from the management site, and a facility management unit for managing the management site as the processed data.
상기 영상처리부는 관리현장의 영상을 촬영한 영상 신호를 3D 영상으로 모델링하고, 이 영상으로부터 관리현장 내 관심객체의 위치를 식별하고, 상기 3D 모델링된 영상과 상기 위치식별 정보를 매핑하도록 구성되고, 상기 설비관리부는 상기 모바일 단말기로 장애조치 내역을 지시하고, 상기 모바일 단말기로부터 조치이력, 결과를 수신하여 기록하고, 모바일 단말기로부터 상기 센서, 설비의 측정데이터를 수신하여 기록하도록 구성될 수 있다.Wherein the image processor is configured to model a video signal of an image of a management site as a 3D image, identify a position of an object of interest in the management site from the 3D image, and map the 3D modeled image and the location identification information, The facility management unit may be configured to indicate a failover breakdown in the mobile terminal, receive and record an action history and a result from the mobile terminal, and receive and record measurement data of the sensor and the facility from the mobile terminal.
발명의 실시예에서, 상기 관리현장의 영상은 상기 센서 또는 카메라로부터 서버로 전송될 수 있다.In an embodiment of the invention, the image of the management site may be transmitted from the sensor or camera to the server.
발명의 다른 실시예에서, 상기 관리현장의 영상은 상기 모바일 단말기로부터 서버로 전송될 수 있다.In another embodiment of the invention, the image of the management site may be transmitted from the mobile terminal to the server.
발명의 실시예에서, 상기 모바일 단말기는 서버로부터 수신한 작업자의 이동경로 영상 출력 수단, 서버로부터 수신한 이동경로 영상에 현장의 관심객체 위치를 표시하는 수단, 관리현장 내의 설비와 센서와 연동하여 자동 검침을 수행하는 수단을 포함할 수 있다.In an embodiment of the present invention, the mobile terminal comprises: means for displaying a moving path image of an operator received from a server; means for displaying a position of an object of interest on the moving path image received from the server; And means for performing meter reading.
발명의 실시예에서, 상기 서버의 상기 영상처리부는 상기 모바일 단말기의 이동경로 영상을 관리현장으로 전송하여, 관리현장에 있는 작업자의 모바일 단말기가 이를 수신하여 표시하도록 하는 수단과, 관리현장에 긴급상황 알림 신호를 전송하는 수단을 추가로 포함할 수 있다.In an embodiment of the present invention, the image processing unit of the server includes means for transmitting a moving route image of the mobile terminal to a management site to allow the mobile terminal of an operator at the management site to receive and display the image, And may further include means for transmitting a notification signal.
발명의 실시예에서, 상기 관리현장의 센서와 카메라는 관리현장에 설치된 레일을 따라 이동하는 무인탐지장치에 설치되며, 이 무인탐지장치의 전력은 상기 레일을 통해 공급받고, 무인탐지장치의 데이터 송수신은 전력선통신(PLC)으로 수행될 수 있다.According to an embodiment of the present invention, the sensor and the camera of the management site are installed in an unmanned detection device moving along a rail installed on a management site, the power of the unmanned detection device is supplied through the rail, May be performed by power line communication (PLC).
발명의 실시예에서, 상기 관리현장 내의 무인탐지장치는 다수이며, 이들 무인탐지장치는 PLC통신용 LAN 망을 구성하도록 연결될 수 있다.In an embodiment of the invention, there are a number of unattended detection devices within the management site, and these unattended detection devices may be connected to form a LAN network for PLC communications.
발명의 실시예에서, 상기 관리현장 안전관리 시스템은 통신네트워크를 통해 상기 관리현장의 안전관리를 수행하는 중앙통제센터를 추가로 포함할 수 있다.In an embodiment of the invention, the management site safety management system may further include a central control center for performing security management of the management site via a communication network.
발명의 실시예에서, 상기 관리현장의 관심객체는 관리현장의 크랙이며, 상기 서버는, 관리현장의 크랙 진단에 필요한 빅데이터를 수집하여 딥러닝을 수행해서 진단 모델을 구축하는 수단, 상기 관리현장에서 촬영된 관리현장의 크랙 영상을 수신하여 상기 딥러닝으로 구축된 진단 모델을 이용하여 크랙을 진단하는 수단을 포함할 수 있다.In an embodiment of the present invention, the object of interest in the management site is a crack in the management site, and the server includes means for collecting big data necessary for crack diagnosis at the management site and performing deep running to construct a diagnostic model, And a means for diagnosing a crack using the diagnostic model constructed by the deep run.
발명의 실시예에서, 상기 관리현장의 관심객체는 애자 또는 절연 설비이며, 상기 서버는, 위치 인식용 태그를 이용하여 애자 또는 절연 설비의 위치 인식을 수행하는 수단을 포함할 수 있다.In an embodiment of the invention, the object of interest of the management site is an insulator or an insulation installation, and the server may comprise means for performing position recognition of the insulator or insulation installation using the tag for position recognition.
발명의 실시예에서, 상기 관리현장의 관심객체는 화재이며, 상기 서버는, 관리현장의 센서와 카메라로 화재 등의 사고를 감지하여 전송된 감지 정보를 수신하여 영상처리, 상태인식, 조치방안에 관한 처리를 수행하여 관리현장으로 지령을 전송하는 수단을 포함할 수 있다.According to an embodiment of the present invention, the object of interest in the management site is a fire, and the server senses an accident such as a fire with a sensor and a camera at a management site, receives the transmitted sensing information, And transmitting the command to the management site.
발명의 실시예에서, 상기 관리현장의 관심객체는 지하철 스크린도어이며, 상기 서버는, 관리현장으로부터 스크린도어 고장감지 정보가 전송되면, 이를 수신 및 분석 처리하여, 스크린도어의 위치 산정, 고장 내용 인지, 조치사항 도출 작업을 수행하고 스크린도어의 고장이 일어난 관리현장으로 조치사항 지령을 전송하는 수단을 포함할 수 있다.In an embodiment of the present invention, the object of interest of the management site is a subway screen door, and when the screen door failure detection information is transmitted from the management site, the server receives and analyzes the screen door failure information to estimate the position of the screen door, , Means for taking action steps, and means for sending an action command to the management site where the screen door has failed.
지하철, 교량, 터널, 지중시설 등 안전관리 대상 현장에 설치된 설비에 문제가 발생하여 현장 조치가 필요한 경우 영상을 통해 작업자에게 설비 위치를 쉽게 찾을 수 있도록 하고, 현장 작업시 작업환경에 따른 이상징후가 검지되면 작업자에게 알람신호를 주어 빠른 대응을 할 수 있도록 하여 작업자의 안정성을 확보할 수 있다.Safety management targets such as subways, bridges, tunnels, underground facilities, etc. If there is a problem in the facilities installed on the site, it is necessary to make it possible to locate the facility to the operator easily through the video if necessary, If it is detected, an alarm signal is given to an operator so that a quick response can be made, and the stability of the operator can be ensured.
또한 본 발명은 영상기술을 이용하여 작업자가 관리현장 방문시 작업자의 위치를 파악하고 작업자 단말기에 이동경로 영상을 제공하여 작업자에게 현장 위치로의 접근을 쉽고 안정적으로 제공할 수 있으며, 작업자의 단말기를 통한 현장설비의 자동관리기술(자동검침, 분석, 진단, 조치, 결과보고)을 이용하여 관리현장의 설비를 효율적으로 관리할 수 있다.In addition, the present invention can easily and stably provide the operator with access to the site location by identifying the worker's position at the management site visit using the image technology and providing the movement route image to the worker terminal, (Automatic meter reading, analysis, diagnosis, action, report of results) through on-site facility management.
또한 작업자의 육안으로 확인하기 어려운 정보를 단말기를 통해 자동 검침, 분석, 진단, 결과보고를 수행하고 작업자에게 조치방법을 제공할 수 있어 업무의 효율성을 향상시킬 수 있다.In addition, it is possible to improve the efficiency of work because it is possible to perform automatic meter reading, analysis, diagnosis, and report on the information which is hard to be visually confirmed by the operator through the terminal and to provide a measure to the operator.
도 1은 본 발명의 일 실시예에 따른 지중시설 안전관리 시스템의 전체 개요도이다.FIG. 1 is a general schematic view of an underground facility safety management system according to an embodiment of the present invention.
도 2는 관리현장에 있는 현장작업자의 모바일 단말기(104)의 구성도이다.2 is a block diagram of a mobile terminal 104 of a field worker at a management site.
도 3은 서버(120)의 영상관리 기능(300) 구성도로서, 도 1에 나타낸 서버(120)의 영상처리부(122)의 구체적인 기능도이다.3 is a configuration diagram of the video management function 300 of the server 120 and is a specific functional diagram of the video processing unit 122 of the server 120 shown in FIG.
도 4는 서버(120)의 현장설비 관리기능(400) 구성도로, 도 1의 설비관리부(124)의 구체적인 기능을 나타낸다.FIG. 4 shows a specific function of the facility management unit 124 of FIG. 1, which is a configuration of the facility management function 400 of the server 120. FIG.
도 5는 본 발명의 한 실시예에 따른 시스템의 동작 흐름을 나타내는 것으로, 작업자의 모바일 단말기(104)와 서버(120) 간의 트랜잭션 위주의 동작 흐름도이다. 5 is a flow chart illustrating a transaction-based operation between an operator's mobile terminal 104 and a server 120, according to an embodiment of the present invention.
도 6은 관리현장(100)에 설치한 레일(105)을 따라 이동하면서 현장 상황을 자동 탐지하는 무인탐지장치(106)를 나타낸다.6 shows an unattended detection device 106 that automatically detects a scene situation while moving along a rail 105 installed in a management site 100. As shown in FIG.
도 7은 레일(105)에서 분리된 모습의 무인탐지장치(106)의 아랫면 사시도이다. 7 is a bottom perspective view of the unattended detection device 106 separated from the rail 105. FIG.
도 8은 다수의 무인탐지장치(106)가 PLC 통신을 수행하도록 하는 PLC통신용 LAN 망을 구성하는 한 가지 실시예의 예시도이다. FIG. 8 is an illustration of an embodiment of configuring a LAN network for PLC communications to allow a plurality of unattended detection devices 106 to perform PLC communications.
도 9는 다수의 무인탐지장치(106)의 연결 망의 한 가지 예로서, 이중화 링형 망 구성의 예를 들고 있다. 9 shows an example of a redundant ring network configuration as an example of a connection network of a plurality of unattended detection apparatuses 106. As shown in FIG.
도 10은 중앙통제센터(500)와 무인탐지장치(106) 간의 연결 구성도의 예시도이다. 10 is an exemplary view of a connection configuration between the central control center 500 and the unmanned detection device 106. As shown in FIG.
도 11은 딥러닝에 의한 지중시설 벽면 크랙 진단법을 설명하는 도면이다. 11 is a view for explaining a method of cracking wall surface cracks in an underground facility by deep running.
도 12는 간격 D로 위치하는 애자 또는 절연체를 무인탐지장치(106)가 레일(105)을 따라 이동하면서 영상 캡처하는 것을 설명하는 도면이다. Fig. 12 is a diagram for explaining how an unmanned detection apparatus 106 moves an image of an insulator or an insulator located at an interval D while moving along the rail 105. Fig.
도 13은 지하철 화재 등 사고의 감시 및 처리 프로세스를 나타낸다. 13 shows a process of monitoring and processing an accident such as a subway fire.
도 14는 스크린도어 고장시 조치 프로세스의 기본 개념을 나타낸다. Fig. 14 shows the basic concept of an action process in the event of a screen door failure.
도 15는 도 14의 개념을 현실화한 스크린도어 고장시 웍플로우를 나타낸다.Fig. 15 shows a workflow when a screen door fails in realizing the concept of Fig.
이하, 도면을 참조하여 본 발명의 일 실시예에 따른 지중시설(터널, 지하철, 기타 지중시설) 안전관리 시스템에 대해 설명한다.Hereinafter, a safety management system for an underground facility (tunnel, subway, or other underground facility) according to an embodiment of the present invention will be described with reference to the drawings.
도 1은 본 발명의 일 실시예에 따른 지중시설 안전관리 시스템의 전체 개요도이다.FIG. 1 is a general schematic view of an underground facility safety management system according to an embodiment of the present invention.
네트워크(110)를 기준으로 좌측 블록은 지중설비(101), 센서(102), CCTV(103) 등이 설치되고 작업자가 지중시설 내에 진입시에 작업자가 소지한 모바일 단말기(104)가 위치하게 되는 관리현장(100)을 나타낸다. 본 실시예에서 관리현장(100)은 지중시설이다. 여기서 모바일 단말기(104)로는 휴대폰, 태블릿, 노트북, 구글글래스, HUD 등이 사용된다.The left block on the basis of the network 110 is provided with an underground facility 101, a sensor 102, a CCTV 103, and the like. In addition, when a worker enters an underground facility, a mobile terminal 104 (100). In this embodiment, the management site 100 is an underground facility. The mobile terminal 104 may be a mobile phone, a tablet, a notebook, a Google Glass, a HUD, or the like.
네트워크(110)를 기준으로 우측 블록은 관리현장(100), 즉, 지중시설에서 전송된 데이터를 수신하고 관리현장(100)으로 전송하는 서버(120)를 나타낸다. 서버(120)에는 크게, 데이터송수신부(121)를 통해 송수신하는 데이터의 영상을 처리하여 관리하는 영상처리부(122), 현장의 설비를 관리하는 설비관리부(124), 그리고 3D 영상 생성, 위치식별, 설비관리 등에 연동되는 데이터베이스(123)가 포함된다.The right block, based on the network 110, represents the management site 100, that is, the server 120 that receives the data transmitted from the underground facility and sends it to the management site 100. The server 120 mainly includes an image processing unit 122 for processing and managing an image of data transmitted and received through the data transmission and reception unit 121, a facility management unit 124 for managing facilities on the site, And a database 123 interlocked with facilities management and the like.
영상처리부(122)는 지중시설의 현장 영상(작업자 등의 관심객체 포함)를 촬영한 영상 신호를 3D 영상으로 모델링하며, 이 영상으로부터 지중시설의 위치를 식별하고, 3D 영상 데이터와 위치식별 정보를 매핑한다. 지중시설의 현장 영상 촬영은 센서(102)와 CCTV(103)에 의해 무인으로 촬영하여 서버(120)로 전송할 수도 있고, 지중시설에 투입된 작업자가 영상을 촬영하여 모바일 단말기(104)를 통해 서버(120)로 전송할 수도 있다. 또다른 실시예에서는 지중시설의 현장 영상을 센서(102)와 CCTV(103)가 무인으로 촬영하여 모바일 단말기(104)로 전송하고, 이를 모바일 단말기(104)가 서버(120)로 전송할 수도 있다. The image processing unit 122 models the image signal of the underground facility (including the object of interest such as the operator) as a 3D image, identifies the location of the underground facility from the image, and displays the 3D image data and the location identification information Mapping. The on-site image capturing of the underground facility can be taken by the sensor 102 and the CCTV 103 unattended and transmitted to the server 120. An operator put in the underground facility captures an image, 120). In another embodiment, the scene of the underground facility may be photographed by the sensor 102 and the CCTV 103 unattended and transmitted to the mobile terminal 104, and the mobile terminal 104 may transmit the captured image to the server 120.
영상처리부(122)와 설비관리부(124)의 보다 자세한 내용에 대해서는 차후에 도면을 참조해서 상세하게 설명한다. The details of the image processing unit 122 and the facility management unit 124 will be described later in detail with reference to the drawings.
한편, 도시하지 않았지만 서버(120) 내에 또는 별도로 중앙통제센터(관제콘솔)가 구비될 수 있다. 이에 대해서는 추후에 설명한다.Meanwhile, although not shown, a central control center (control console) may be provided in the server 120 or separately. This will be described later.
도 2는 관리현장에 있는 현장작업자가 소지하는 모바일 단말기(104)의 구성도이다.2 is a block diagram of the mobile terminal 104 possessed by a field worker at a management site.
201: 네트워크(110)를 통해 서버(120)로부터 수신한 현장작업자 이동경로 영상 출력, 201: field worker movement path image output received from the server 120 through the network 110,
202: 네트워크(110)를 통해 서버(120)로부터 수신한 이동경로 영상에 현장의 목표위치를 표시,202: displays the target position of the scene on the moving route image received from the server 120 through the network 110,
203: 작업현장의 긴급상황을 통보,203: Notification of emergency at worksite,
204: 관리현장(100) 내의 설비(101)와 센서(102)를 통해 자동 검침을 수행204: Automatic meter reading is performed through the facility 101 and the sensor 102 in the management site 100
205: 조치, 이력, 보고를 관리하며 네트워크(110)를 통해 이들 정보를 서버(120)로 전송205: manages actions, history, and reporting, and transmits these information to the server 120 via the network 110
도 3은 서버(120)의 영상관리 기능(300) 구성도로서, 도 1에 나타낸 서버(120)의 영상처리부(122)의 구체적인 기능도이다.3 is a configuration diagram of the video management function 300 of the server 120 and is a specific functional diagram of the video processing unit 122 of the server 120 shown in FIG.
301: 네트워크(110)를 통해 관리현장(100)의 CCTV(103)로부터 작업자(또는 지하시설 내의 관심객체)의 영상 수신. 여기서는 앞에서 설명한 것과 같이, 작업자가 영상을 촬영하여 모바일 단말기(104)를 통해 서버(120)로 전송할 수도 있고, 관리현장(100)(지중시설)에 있는 작업자 위치 영상을 센서(102)와 CCTV(103)가 무인으로 촬영하여 모바일 단말기(104)로 전송하고, 이를 모바일 단말기(104)에서 서버(120)로 전송할 수도 있다. 301: Receiving video of an operator (or an object of interest within the underground facility) from the CCTV 103 of the management site 100 via the network 110. Here, as described above, the operator can photograph the image and transmit it to the server 120 through the mobile terminal 104, or transmit the image of the worker in the management site 100 (underground facility) to the sensor 102 and the CCTV 103 may be photographed unmanned and transmitted to the mobile terminal 104 and may be transmitted from the mobile terminal 104 to the server 120. [
302: 수신한 영상을 인식알고리즘으로 처리302: Received image is processed by recognition algorithm
303: 인식 처리하여 작업자 위치 식별. 이때, 영상으로부터의 작업자(또는 관심객체)의 위치식별은, CCTV(103)로 촬영된 영상을 이용하여 가상의 지중설비 위치 마커를 생성하고 정보화하여 수행가능하다. 이를 위해 3D 영상데이터 및 지중설비 위치 마커 DB(306)가 사용된다.303: Identification of the operator position by recognition processing. At this time, the location identification of the operator (or the object of interest) from the image can be performed by creating and informing a virtual underground facility location marker using the image photographed by the CCTV 103. 3D image data and underground facility location marker DB 306 are used for this purpose.
304: 작업자 이동경로 영상을 네트워크(110)를 통해 관리현장(100)으로 전송. 관리현장(100)에 있는 작업자의 모바일 단말기(104)에서는 이를 수신하여 표시(201).304: The worker movement route image is transmitted to the management site 100 via the network 110. The worker's mobile terminal 104 at the management site 100 receives and displays (201) it.
305: 작업현장(관리현장) 모니터링에 따른 긴급상황 알림 신호 전송.305: Emergency alert signaling based on monitoring at the worksite (management site).
이 밖에 서버에는 영상을 직접 표시하여 모니터링하는 기능도 포함될 수 있다. 이러한 기능은 NVR(network video record) 소프트웨어에 의해 수행가능하다. 예를 들어, '출입통제: 사전 출입인가 되지 않은 인원에 대한 자동 인식 및 경보, 보안: 주기적 또는 실시간 이동 모니터링으로 즉각적인 침투 및 보안 대응 가능, 데이터 자동보관: 실시간 영상 및 각 센서의 측정치를 사용자의 요구사항에 맞게 확장하여 저장 가능, 관제: 중앙 감시실의 감시자가 실시간으로 관제 가능하도록 하고, 관리자의 부재시 휴대기기를 통한 원격 관제 및 통제가 가능, 추적: 이상 물체의 움직임을 감지했을 경우 동선을 따라 자동 추적이 가능하고, 추적한 영상 데이터를 실시간 저장, 사고예방: 가스 및 온도 등의 측정으로 사용자에게 경보함으로써 화재사고 및 각종 환경적인 사고를 방지, 설비감시: 터널 등 지중시설내 각종 설비의 육안점검을 실시간 자동으로 함으로써 고장사고 예방에 기여' 등의 기능을 NVR을 통한 화면 모니터링으로 수행할 수 있다.In addition, the server may include the ability to display and monitor images directly. These functions can be performed by NVR (network video record) software. For example, 'Access control: Automatic recognition and alarm for unauthorized personnel, Security: Immediate penetration and security response by periodic or real time movement monitoring, Automatic data storage: It can be expanded and stored according to the requirements. Control: It enables the supervisor of the central monitoring room to control in real time, and remote control and control through the mobile device in the absence of the manager. Tracking: Automatic tracking is possible and real time storage of tracked image data is prevented. Accident prevention: Prevention of fire accidents and various environmental accidents by alarming users by measurement of gas and temperature, and facility monitoring: Various facilities in underground facilities such as tunnels Contributing to prevention of trouble by automatic visual inspection in real time " It can be carried out by sintering.
도 4는 서버(120)의 현장설비 관리기능(400) 구성도로, 도 1의 설비관리부(124)의 구체적인 기능을 나타낸다.FIG. 4 shows a specific function of the facility management unit 124 of FIG. 1, which is a configuration of the facility management function 400 of the server 120. FIG.
401: 네트워크(110)를 통해 모바일 단말기(104)로 장애조치 내역을 지시401: instructs the mobile terminal 104 via the network 110 to indicate failover history
402: 네트워크(110)를 통해 모바일 단말기(104)로부터 조치이력, 결과를 보고받아 지중설비 관리 데이터베이스(404)에 기록402: reports the action history and the result from the mobile terminal 104 via the network 110 and records the result in the underground facility management database 404
403: 네트워크(110)를 통해 모바일 단말기(104)로부터 센서, 설비의 측정데이터를 수신하여 지중설비 관리 데이터베이스(404)에 기록403: receives the measurement data of the sensor and the facility from the mobile terminal 104 via the network 110 and records it in the underground facility management database 404
도 5는 본 발명의 한 실시예에 따른 시스템의 동작 흐름을 나타내는 것으로, 작업자의 모바일 단말기(104)와 서버(120) 간의 트랜잭션 위주의 동작 흐름도이다. 5 is a flow chart illustrating a transaction-based operation between an operator's mobile terminal 104 and a server 120, according to an embodiment of the present invention.
710: 지중시설의 CCTV(103)에서 촬영 영상을 서버(120)로 전송한다. 또는 앞에서 언급한 것과 같이, 다른 실시예에서는 현장에 이동한 작업자가 영상을 서버로 전송할 수 있다. 710: The CCTV 103 of the underground facility transmits the photographed image to the server 120. Alternatively, as mentioned above, in another embodiment, an operator who has moved to the field can transmit images to the server.
720: 서버(120)에서는 영상을 분석한다.720: The server 120 analyzes the image.
730: 작업자의 위치 정보를 획득하고 작업 목표 위치를 획득한다. 다른 실시예로, 작업자와 관련되지 않은 실시예의 경우가 아니라 지중시설 자체의 이상이나 상황 파악을 위한 영상 분석의 실시예인 경우에는 영상을 분석하여 해당 이상이나 상황 파악을 위한 정보가 획득된다. 730: Obtains the position information of the worker and obtains the work target position. In another embodiment, in the case of an embodiment of image analysis for detecting an abnormality or a situation of an underground facility itself rather than an embodiment not related to an operator, information for detecting the abnormality or the situation is obtained by analyzing the image.
740: 위치 정보에 다른 이동 경로 및 목적지의 3D 영상을 작업자의 모바일 단말기(104)로 전송740: 3D image of another movement route and destination is transmitted to the mobile terminal 104 of the worker in the position information
750: 작업자의 모바일 단말기(104)에서는 이동 경로 및 목적지를 표시하고 영상을 출력한다.750: The operator's mobile terminal 104 displays the moving route and the destination and outputs an image.
760: 그리고 작업자가 장애를 복구하고 조치한 사항이나 이력을 서버(120)로 보고한다. 760: the operator repairs the fault and reports the action or history to the server 120. [
770, 780: 한편, 지중시설 현장에 있는 설비/센서(101, 102)에서 작업현장을 실시간 센싱한 센싱 데이터는 모바일 단말기(104)로 전송된다.770 and 780: On the other hand, the sensed data obtained by real-time sensing of the worksite at the facilities / sensors 101 and 102 at the underground facilities are transmitted to the mobile terminal 104.
790: 모바일 단말기(104)는 센싱 데이터를 수집하여 서버(120)로 보고한다. 790: The mobile terminal 104 collects sensing data and reports it to the server 120.
800, 810: 서버(120)는 관리현장을 모니터링하면서, 현장에 긴급상황 발생이 인지되면 모바일 단말기(104)로 알람을 전송한다.800, and 810: The server 120 monitors the management site and transmits an alarm to the mobile terminal 104 when an emergency occurs in the field.
820: 모바일 단말기(104)에서는 수신한 긴급상황 알림을 출력하고, 대피 안내 등의 경보를 발령한다.820: The mobile terminal 104 outputs the received emergency notification, and issues an alert such as evacuation guidance.
이제, 상술한 내용에서 좀더 구체적인 부분으로 들어가서 각 구성요소에 관하여 설명한다.Now, let's go into more detail in the above-mentioned contents and describe each constituent element.
먼저 관리현장(100)에서 설비와 환경을 감시하는 센서(102)와 CCTV(103)의 구체적인 구성이다. 기본적으로 도 6과 같이 관리현장(100)에 설치한 레일(105)을 따라 무인탐지장치(106), 가령, 레일로봇이 이동하면서 현장 상황을 자동 탐지한다.First, the specific configuration of the CCTV 103 and the sensor 102 that monitors the facility and the environment in the management site 100 is shown. Basically, as shown in FIG. 6, the unattended detection device 106, for example, a rail robot moves along a rail 105 installed in the management site 100 to automatically detect a site situation.
한 실시예에서 무인탐지장치(106)의 전력은 레일(105)로부터 공급받고, 무인탐지장치(106)의 데이터 송수신은 전력선통신(PLC)을 이용한다. 무인탐지장치(106)에는 센서, 카메라 등 다양한 현장 측정에 필요한 탐지수단이 구비된다.In one embodiment, the power of the unmanned detection device 106 is supplied from the rail 105, and the data transmission / reception of the unmanned detection device 106 is performed by power line communication (PLC). The unmanned detection device 106 is provided with detection means necessary for various field measurements such as a sensor and a camera.
도 7은 레일(105)에서 분리된 모습의 무인탐지장치(106)의 아랫면 사시도이다. 레일(105)을 따라 이동하는 이동휠(108)이 있고, 레일(105)에 설치된 전력선(107a, b)과 접촉하여 전력을 공급받음과 동시에 데이터 송수신을 하는 전력/데이터휠(109a, b)이 있다. 7 is a bottom perspective view of the unattended detection device 106 separated from the rail 105. FIG. The power / data wheels 109a and 109b, which are in contact with the power lines 107a and 103b provided on the rails 105 to receive power and transmit and receive data, .
한편, 관리현장(100)에 다수의 무인탐지장치(106)가 설치되므로, 각 탐지장치는 서로 망 구성을 하는 것이 바람직하다. 도 8은 다수의 무인탐지장치(106)가 PLC 통신을 수행하도록 하는 PLC통신용 LAN 망을 구성하는 한 가지 실시예의 예시도이다. 각 무인탐지장치(106, 106')는 레일(105)에 구비된 전력선을 통하여 각각의 PLC통신모듈(111, 111')과 연결된다. PLC통신모듈(111, 111')은 각각의 광스위치(112, 112')와 TCP/IP 통신으로 데이터를 전송하고, 각 광스위치(112, 112')는 Optical 선로로 서로 LAN 망을 구성한다. On the other hand, since a plurality of unmanned detection devices 106 are installed in the management site 100, each of the detection devices preferably has a network configuration. FIG. 8 is an illustration of an embodiment of configuring a LAN network for PLC communications to allow a plurality of unattended detection devices 106 to perform PLC communications. Each unmanned detection device 106, 106 'is connected to each PLC communication module 111, 111' through a power line provided on the rail 105. The PLC communication modules 111 and 111 'transmit data by TCP / IP communication with the optical switches 112 and 112', respectively, and the optical switches 112 and 112 'constitute a LAN network by optical lines .
도 9는 다수의 무인탐지장치(106)의 연결 망의 한 가지 예로서, 이중화 링형 망 구성의 예를 들고 있다. 광스위치 허브(Optical SW Hub)(113)를 중심으로 다수의 무인탐지장치(106)가 고리(링) 형태로 광선로를 통해 연결된다. 무인탐지장치(106)들 중 일부는 광스위치 허브(113)와 직접 광선로로 연결된다.9 shows an example of a redundant ring network configuration as an example of a connection network of a plurality of unattended detection apparatuses 106. As shown in FIG. A plurality of unmanned detection devices 106 are connected to the optical switch hub 113 via an optical line in the form of a ring. Some of the unmanned detection devices 106 are directly optically connected to the optical switch hub 113.
도 10은 앞에서 언급한 서버(120)에 부속된(또는 독립된) 중앙통제센터(500)와 무인탐지장치(106) 간의 연결 구성도의 예시도이다. 10 is an exemplary view of a connection configuration between the central control center 500 attached to (or independent of) the above-mentioned server 120 and the unattended detection device 106. FIG.
중앙통제센터의 기능은, 출입통제: 사전 출입인가 되지 않은 인원에 대한 자동 인식 및 경보, 보안: 주기적 또는 실시간 이동 모니터링으로 즉각적인 침투 및 보안 대응, 데이터 자동보관: 실시간 영상 및 각 센서의 측정치를 사용자의 요구사항에 맞게 확장하여 저장, 관제: 중앙 감시실의 감시자가 실시간으로 관제 가능하도록 하고, 관리자의 부재시 휴대기기를 통한 원격 관제 및 통제, 추적: 로봇(무인탐지장치(106))이 움직임을 감지 했을 경우 동선을 따라 자동 추적이 가능하고, 추적한 영상 데이터를 실시간 저장, 사고예방: 가스 및 온도 등의 측정으로 사용자에게 경보 함으로써 화재사고 및 각종 환경적인 사고 방지 등이다.The functions of the central control center are: access control: automatic recognition and alarm for unauthorized personnel, security: instant penetration and security response with periodic or real-time movement monitoring, automatic data storage: real- (Robot) (unmanned detection device 106) moves and controls the remote control and control through the mobile device in the absence of the manager. Automatic detection of traces along the line when detected, real-time storage of tracked image data, prevention of accidents, prevention of fire accidents and various environmental accidents by alarming users by measuring gas and temperature.
도 10에서 다수의 무인탐지장치(106)가 통신실(600)(가령, 도 1의 서버(120))의 제어하에 중앙통제센터(500)와 연결되어 통제됨을 알 수 있다. 중앙통제센터(500)에는 상술한 많은 기능이 구현될 수 있지만, 도 10에는 감시용 모니터(510)와 통제용 HMI PC(520)가 대표적으로 도시되어 있다. 통신실(600)에는 랙 에 설치된 FDF, 데이터 서버, KVM, 광스위치 허브, NVR 제어서버, 저장장치가 구비되어 있다. 중앙통제센터(500)와 통신실(600)은 UTP CAT No.6 라인으로 연결될 수 있고, 통신실(600)과 무인탐지장치(106)들은 Optical SM 6-core 9/125 라인 또는 기존망을 사용하여 연결될 수 있다. In FIG. 10, it can be seen that a plurality of unattended detection devices 106 are connected to and controlled by the central control center 500 under the control of the communication room 600 (for example, the server 120 of FIG. 1). Although many functions described above can be implemented in the central control center 500, a monitoring monitor 510 and a control HMI PC 520 are typically shown in FIG. The communication room 600 is provided with an FDF, a data server, a KVM, an optical switch hub, an NVR control server, and a storage device provided in a rack. The central control center 500 and the communication room 600 may be connected to the UTP CAT No. 6 line and the communication room 600 and the unattended detection devices 106 may be connected to the optical SM 6-core 9/125 line or the existing network Can be connected using.
이하에서는, 상술한 본 발명의 안전관리 시스템의 다양한 응용예를 소개한다. 다양한 응용예에는 스마트 원격감시(열상카메라 및 각종 센서내장 내장으로 사고징후 감지가능, 전차선/궤도회로 등의 발열감지, 산소농도 측정 및 CO/암모니아 등 유해가스감지, 침입자감지 등), 사고현장 중계(원격 이동형 CCTV: 사고현장에 대해 직접적 확인 및 통제가능, 사고시 지정된 담당자는 Mobile로도 현장 지휘 가능, Interactive 방송가능: 현장상황 청취 및 안내방송, 현장 승객 및 직원과 직접 대화가능: 안내/게시기에 의한 탈출로 안내 등), 승객대피 및 위기상황 대응(사고현장 신속대응가능: 전구간 이동형 방송, 사고조치 전담반의 원격 지휘가능 등), 기타 시설점검 등 다양한 응용에 적용가능 등이 포함될 수 있다. Various applications of the above-described safety management system of the present invention will be described below. Various applications include smart remote monitoring (built-in thermal camera and built-in various sensors to detect accident signs, detection of heat in catenary / track circuits, measurement of oxygen concentration, detection of harmful gases such as CO / ammonia, intruder detection) (Remote mobile type CCTV: direct identification and control of the accident site, designated person in case of an accident can be commanded on-site by mobile, interactive broadcasting possible: listening to the situation on the spot, direct communication with on-site passengers and employees: Etc.), evacuation of passengers and response to crisis situations (possibility of quick response at the scene of an accident: full-range mobile broadcasting, remote command of the accident response team, etc.), and other facility check.
이들 중 대표적인 몇 가지 예를 소개하면 다음과 같다. Some typical examples are as follows.
1. 터널이나 지하철 등 지중시설의 벽면 크랙(균열)진단 1. Diagnosis of wall cracks in underground facilities such as tunnels and subways
이를 위해 필터기반, 딥러닝 기반, 컬러분석 기반 등의 방식을 이용한다. To do this, we use filter-based, deep-running-based, and color-analysis-based methods.
필터기반 크랙 진단 - 영상 신호를 필터(kernel 등)로 스무딩처리(convolution)한 후에
Figure PCTKR2017013268-appb-I000001
와 같이 미분을 한다. 이 방식을 이용하면, 미분된 필터로 스무딩하는 것과 같은 효과를 얻을 수 있다. 필터로는 다양한 크기 및 종류의 필터 적용이 가능하다. 그러나 이 방식의 경우에는 연결요소 분석(connected component analysis), 메디안 필터(median filter), 모포로직 조작(morphological operation) 등의 후처리 작업이 필요하다. Filter-Based Crack Diagnosis - After the image signal is smoothed by a filter (kernel, etc.)
Figure PCTKR2017013268-appb-I000001
As shown in Fig. With this method, an effect similar to smoothing with a finely divided filter can be obtained. Filters can be applied to various sizes and types of filters. However, this method requires post-processing such as connected component analysis, median filter, and morphological operation.
딥러닝 기반 크랙 진단법은 크랙이 존재하는 영상 세그먼트를 검출 대상 객체로 간주하는 것이다. Positive/negative 데이터를 구축하고 학습데이터를 생성하여서 심층신경망(Deep Neural Network)을 구성하여 딥러닝 기계학습을 시켜 크랙 검출 모델을 구축하여 입력된 영상으로부터 크랙을 자동으로 진단한다.Deep run-based crack diagnosis is to treat an image segment in which a crack exists as a detection target object. Construction of positive / negative data, generation of learning data, construction of Deep Neural Network, Deep Learning machine learning, building a crack detection model, and automatically diagnosing cracks from the input image.
컬러 분석 기반법은, 입력 영상을 컬러 히스토그램 분석하고 컬러모델링을 하여 크랙 영상을 분석한다. 이 방법은 또한, 벽면의 누수(water leakage)나, 백화(whitening)의 진단에도 사용된다. In the color analysis based method, the input image is analyzed by color histogram and color modeling to analyze the crack image. This method is also used to diagnose water leakage and whitening of the wall.
도 11은 딥러닝에 의한 크랙 진단법을 설명한다. 도 1에는 명시적으로 도시하지 않았지만, 서버(120)에 딥러닝 크랙 진단분석부를 구성하여서 크랙 진단을 수행할 수 있다.Fig. 11 illustrates a crack diagnosis method by deep running. Although not explicitly shown in FIG. 1, a crack diagnosis can be performed by constructing a deep running crack diagnostic analysis unit in the server 120.
1100: 터널/지중시설/지하철 관련 자료, 도로 자료, 균열 자료, 기타 크랙 진단에 필요한 많은 자료를 수집하여 빅데이터를 구축하는 빅데이터 큐레이션1100: Big data curation that builds big data by collecting tunnel, underground facility / subway data, road data, crack data, and many other data needed for crack diagnosis
1110: 빅데이터를 이용하여 딥러닝을 수행해서 진단 모델을 구축한다. 많은 수의 입력 영상에서 학습데이터를 생성하여 심층신경망 학습을 행하는 것이다. 1110: Build a diagnostic model by performing deep learning using big data. Learning data is generated from a large number of input images to perform deep neural network learning.
1120: 무인탐지장치(106)에 구비된 카메라가 터널, 지하철, 지중시설 등 관리현장의 벽면 영상을 캡쳐한다. 이때에는 대상 벽면에 구역이 구획되어 있으며, 구역별 영상을 캡처한다. 캡처된 영상은 서버(120)로 전송된다. 다른 실시예에서 본 단계의 영상 캡쳐는 현장에 투입된 작업자가 모바일 단말기(104)를 통해 촬영하여 서버(120)로 전송할 수도 있다.1120: A camera provided in the unmanned detection device 106 captures a wall image of a management site such as a tunnel, a subway, or an underground facility. At this time, the zone is partitioned on the target wall surface, and the zone image is captured. The captured image is transmitted to the server 120. In another embodiment, the image capturing of this step may be performed by an operator who has entered the field through the mobile terminal 104 and may transmit the captured image to the server 120.
1130: 캡처된 영상 데이터에 구역, 위치(GPS), 시간 등의 태그를 부여한다. 1130: Tags such as zone, position (GPS), and time are assigned to the captured image data.
1140: 태그 부여된 데이터를 동기화한다.1140: Synchronize tagged data.
1150: 영상자료를 구간별로 분류화한다.1150: Classify image data by segment.
1160: 1110에서 딥러닝으로 구축된 진단 모델을 이용하여 입력 영상으로부터 크랙을 진단한다. 1160: Diagnosis of cracks from the input image is made using the diagnostic model constructed by deep running at 1110.
2. 애자, 절연체 등 설비 상태진단2. Diagnosis of equipment condition such as insulator and insulator
지중시설이나 지하철 등의 전력 선로에 사용되는 애자, 절연체 또는 기타 설비의 상태를 진단한다. 애자, 절연체 등의 설비는 일정한 간격(예 5m, 10m)으로 설치되는 것이 일반적이므로, 본 발명의 무인탐지장치(106)를 이용하여 애자, 절연체 등 설비 상태의 실시간 자동감시가 가능하다. Diagnose the condition of insulators, insulators, or other equipment used in power lines such as underground facilities or subways. It is possible to perform real-time automatic monitoring of equipment conditions such as insulators and insulators by using the unmanned detection device 106 of the present invention because the insulators, insulators and the like are installed at regular intervals (for example, 5 m and 10 m).
도 12를 참조하면, 전동차(710)의 팬터그래프(720, 730)의 간격 D에 해당되는 간격으로 애자 또는 절연체가 위치하고, 이를 무인탐지장치(106)가 레일(105)을 따라 이동하면서 영상 캡처할 수 있다. 12, an insulator or insulator is positioned at an interval corresponding to the distance D between the pantographs 720 and 730 of the electric motor vehicle 710 and the image is captured while the unmanned detection device 106 moves along the rail 105 .
구체적인 실시 형태에 따르면, 레일(105)을 따라 이동하는 각 무인탐지기(106)에 설치되는 카메라의 화각은 90도 이상, 상향각은 15~25도, 감시범위는 피사체를 약 290도 범위(전면 후면 각각)로 감시 가능하도록 설계한다.According to a specific embodiment, the angle of view of the camera installed on each unmanned detector 106 moving along the rail 105 is 90 degrees or more, the upward angle is 15 to 25 degrees, the range of the subject is about 290 degrees Rear), respectively.
애자 등 설비의 위치 인식은 위치 인식용 태그(RFID, Barcord 등)를 이용할 수 있다. 이 경우의 장점은 특정 설비의 절대좌표를 알려주므로 정확한 측정이 가능해지며, 현재 Rail Robot(무인탐지장치(106))의 위치를 사용자에게 알려줄 수 있고, 상대좌표 계산을 통해서 실제의 위치 파악도 가능해진다. 위치 인식 태그는 애자 등 설비에 부착할 수 있고, 또는 무인탐지장치(106)가 가이드되는 레일(105)에 일정 간격으로 부착할 수도 있다.Location identification (RFID, Barcord, etc.) can be used to identify the location of equipment such as insulators. The advantage of this case is that accurate measurement can be made because the absolute coordinates of the specific facility are indicated, and the position of the current rail robot (unmanned detection device 106) can be informed to the user. It becomes. The location recognition tag may be attached to an installation such as an insulator or may be attached to the rail 105 on which the unmanned detection device 106 is guided at regular intervals.
본 응용예에서도 애자 등 설비의 상태 진단은 기계학습에 의한 영상 분석과 인공지능에 의한 진단법을 적용할 수 있다.In this application example, image diagnosis by machine learning and diagnosis by artificial intelligence can be applied to diagnosis of the condition of the insulator and the like.
3. 교량 시설 관리3. Bridge Facility Management
레일(105)을 따라 이동하는 무인탐지장치(106)를 통해 철교, 인도교 등 교량의 상부와 하부의 관리가 가능하다. 구체적으로, 전원선로 점검(실시간), 선로 내부 낙하물 점검, 교각 시설 점검, 출입인원 감시 통제, 원격지 통화기능, 원격지 방송 및 통화, 야간감시, 전원설비 발열 감시, 반대선로 전원설비 감시, 선로 낙하물 감시, 출입인원 통제 및 감시, 구조물 점검 등이 가능하다.It is possible to manage the upper and lower portions of a bridge such as an iron bridge and a bridge through an unmanned detection device 106 moving along the rail 105. Specifically, it is possible to check the power line (real time), inspect the falling objects in the line, check the pier facility, control the entrance and exit personnel, remote call function, remote broadcasting and call, night surveillance, , Access control and monitoring, and structural inspection.
4. 지하철 화재, 추돌, 탈선, 정차 사고 감시 및 처리4. Subway fire, collision, derailment, stop-accident monitoring and treatment
도 13은 지하철 화재, 추돌, 탈선, 정차 등 사고의 감시 및 처리 프로세스를 나타낸다. 무인탐지장치(106)의 화재감지 센서와 카메라로 화재 등의 사고를 감지한다(1210). 감지 정보를 서버(120)로 전송하면, 서버(120)에서는 이를 수신하여 영상처리, 상태인식, 조치방안 등의 처리를 수행하여 관리현장으로 지령을 내린다(1220). 이때 중앙통제센터가 연동되어 현장의 모니터링 또는 조치사항 하달 등의 태스크를 수행할 수 있다(1340). 서버(120)로부터 지령을 받은 관리현장에서는 시설 내 경고장치 등을 작동시키는 등 대응 조치를 수행한다(1230). 13 shows the monitoring and processing process of an accident such as a subway fire, a collision, a derailment, and a stop. An accident such as a fire is detected by a fire detection sensor of the unmanned detection device 106 and a camera (1210). When the detection information is transmitted to the server 120, the server 120 receives the detection information, performs processing such as image processing, state recognition, and measures, and issues a command to the management site (operation 1220). At this time, the central control center may be interlocked to perform tasks such as monitoring the site or taking measures (1340). In the management site receiving the command from the server 120, countermeasures such as operating a warning device in the facility are performed (1230).
이때 다른 실시예에서, 서버(120)는 관리현장의 시설로 비인위적 대응 조치 등의 지령을 내리는 것과 병행하여, 또는 독립적으로, 관리현장에 있는 작업자의 모바일 단말기(104)로 지령을 내려서 작업자에 의한 인위적 조치를 명령할 수도 있다.At this time, in another embodiment, the server 120 issues a command to the mobile terminal 104 of the worker at the management site in parallel with, or independently of, issuing an instruction such as non-artificial countermeasures to the facility at the management site, And may order an artificial action.
5. 스크린도어 고장 5. Screen door failure
지하철 역내의 스크린도어를 따라 설치된 레일(105)을 따라 무인탐지장치(106)가 이동하면서 사이니지 원격지 점검, 스크린도어 작동여부 확인, 조명상태 및 청결상태 확인, 유실물 및 기타시설 확인, 유사시 승객대피 안내 등의 일상적 감시 행위를 수행한다. The unmanned detection device 106 moves along the rail 105 installed along the screen door in the subway station to check the remote location of the signage, check whether the screen door is operated, check the lighting condition and cleanliness, check for lost property and other facilities, And conducts routine monitoring activities such as guidance.
다른 실시예에서, 이러한 일상 감시 행위에는 무인탐지장치(106)에 소화액 및 분사기구를 내장하여 화재 발생 초기에 신속대응하도록 설계하는 것이 가능하다(예컨대, 강화액 방식으로 4~5m 분사 / 유류화재시 백파이어 현상 없음). In another embodiment, this routine monitoring action can be designed to quickly respond to an early fire event by incorporating a fire extinguishing liquid and an injector into the unmanned detection device 106 (e.g., 4-5 m injection / No backfire phenomenon at the time).
또다른 실시예에서, 일상 감시 행위에는 무인탐지장치(106)의 온,습도/유해가스등 환경데이터 수집 기능이 포함될 수 있다. In another embodiment, the routine monitoring activity may include environmental data collection functions such as temperature, humidity, and hazardous gases of the unmanned detection device 106.
도 14는 스크린도어 고장시 조치 프로세스의 기본 개념을 나타내는 것으로, 현장(역사)과 서버(또는 중앙통제센터), 작업자간의 개략적 웍플로우를 나타낸다. Figure 14 shows the basic concept of the action process when a screen door fails and shows a schematic workflow between the site (history) and the server (or central control center) and the worker.
먼저, 무인탐지장치에 의한 스크린도어 고장감지(1310) 또는 작업자의 점검에 의한 고장 발견(1320)이 발생하면, 관련 정보가 서버(120)로 전송된다. 서버(120)에서는 이들 정보를 수신 및 분석 처리하여, 스크린도어의 위치 산정, 고장 내용 인지, 조치사항 도출 등을 수행하고(1330) 스크린도어의 고장이 일어난 현장 역사로 지령을 전송(1340)하고 이와 병행하여 작업자에게도 전송한다(1350). First, when a screen door failure detection 1310 by the unmanned detection device or a failure detection 1320 by an operator's inspection occurs, the related information is transmitted to the server 120. The server 120 receives and analyzes these pieces of information, calculates the position of the screen door, determines whether the contents of the screen door are faulty, draws a measure, etc. 1330 and transmits a command to the field history where the screen door is broken 1340 In parallel to this, it is transmitted to the worker (1350).
이에 현장(역사)에서는 필요한 조치 - 경고, 전동차 통보, 대피 등 - 를 수행하고, 현장에 있는 작업자는 보수 조치를 수행한다(이때 서버와 인터랙션 가능함).Therefore, in the field (history), necessary actions - warnings, train report, evacuation, etc. - are carried out, and the worker in the field carries out the remedial work (at this time, it is possible to interact with the server).
도 15는 도 14의 개념을 현실화한 스크린도어 고장시 웍플로우를 나타낸다. 역사, 보수현장, 중앙통제실, 및 보수업체가 관여하는 웍플로우이다. 도 15는 무인탐지장치(106)에 의한 고장 탐지는 배제하고 현장에 있는 점검작업자의 점검 결과로 고장 발생이 확인된 경우를 예시하고 있다.Fig. 15 shows a workflow when a screen door fails in realizing the concept of Fig. History, maintenance sites, central control room, and maintenance companies. FIG. 15 illustrates a case where the occurrence of a failure is confirmed as a result of inspection by a maintenance worker in the field, without detecting the failure by the unmanned detection device 106. FIG.
1) 점검작업자에 의하여 스크린도어의 고장 발생이 파악되면 해당 구역에 안전펜스를 설치하여 사람들의 출입을 통제하고, 모바일 단말기(104)를 통해, 보수가 필요한 현장(보수현장)에 고장을 통보하고, 1) When the occurrence of a failure of the screen door is detected by the inspection worker, a safety fence is installed in the corresponding area to control the entrance and exit of the person, and a fault is notified to the site (maintenance site) ,
2) 중앙통제실로 고장 접수를 한다. 2) We accept trouble in central control room.
3) 중앙통제실에서는 고장 내역을 확인하여 역사와 보수업체에 보수 작업계획서를 요청하고 무인탐지장치(106)를 해당 현장으로 이동시키는 명령을 내려서, 현장의 고장 상황을 원격 모니터링하도록 한다. 3) The central control room confirms the breakdown history, requests maintenance and maintenance plan from the maintenance and repair company, and commands the unmanned detection device 106 to move to the site, thereby monitoring the failure situation of the site remotely.
4) 작업계획서를 수신한 보수업체는 고장상황을 파악하여 작업계획서를 역사 및 중앙통제실에 제출하고 보수작업자를 현장으로 이동시킨다. 이때에, 보수작업자도 도 1에 나타낸 본 발명의 모바일 단말기(104)를 소지할 수 있다. 따라서 보수작업자는 해당 현장으로 이동시에 작업계획을 모바일 단말기(104)에 설치된 앱(APP)을 이용하여 송수신할 수 있다.4) The maintenance company receiving the work plan identifies the fault situation, submits the work plan to the history and central control office, and moves the maintenance worker to the site. At this time, the maintenance worker can also carry the mobile terminal 104 of the present invention shown in Fig. Accordingly, the maintenance worker can transmit and receive the work plan using the APP installed in the mobile terminal 104 when the maintenance worker moves to the site.
5) 중앙통제실에서는 작업계획 및 보수작업자를 확인하여 역사 및 보수업체에 작업지시를 전송한다. 작업지시서는 보수작업자의 모바일 단말기(104)로도 전송될 수 있다.5) The central control room confirms the work plan and the repair worker and sends work instructions to the history and repair companies. The work instruction sheet may also be transmitted to the maintenance worker's mobile terminal 104.
6) 역사에서는 감독자 또는 보수작업자의 신원을 확인하고 감독자로 하여금 보수작업자를 보수현장으로 인솔하도록 한다. 6) In history, the supervisor confirms the identity of supervisor or maintenance worker, and supervisor leads maintenance worker to maintenance site.
이때, 보수현장으로 이동한 무인탐지장치(106)에 설치된 지문인식 센서(스캐너)를 이용하여 감독자 및 보수작업자의 현장 도착, 감독자 또는 보수작업자의 신원 확인, 작업시작 확인 및 작업종료 확인 등을 자동으로 행할 수 있다. 예를 들어, 감독자 또는 보수작업자는 소지하고 있는 지문인식 카드를 무인탐지장치(106)의 스캐너에 인식시켜서 신원 확인은 물론, 작업시작과 종료를 중앙통제실에 알릴 수 있다. 이렇게 무인탐지장치(106)를 구성하면, 만일 작업에 등록된 인원이 반경 20m를 넘어 설 경우 경보와 함께 해당 정보를 저장하고 역사의 책임자(예를 들어, 역장)에게 SMS/경보내용을 발송하고, 해당 위치의 무인탐지장치(106)에서 경보방송을 송출하도록 할 수 있다. At this time, by using a fingerprint recognition sensor (scanner) installed in the unmanned detection device 106 moved to the maintenance site, confirmation of the identity of the supervisor and maintenance worker, supervisor or repair worker, confirmation of work start, . For example, the supervisor or the maintenance worker can recognize the fingerprint recognition card possessed by the scanner of the unmanned detection device 106, thereby notifying the central control room of the start and end of the job as well as the identification. When the unmanned detection device 106 is configured such that the number of persons registered in the work exceeds a radius of 20 meters, the information is stored together with the alarm, and the SMS / alarm content is sent to the person in charge of history (for example, , It is possible to send an alarm broadcast from the unmanned detection device 106 at the corresponding position.
이상에서, 본 발명을 구체적인 실시예와 실시 형태로 예로 들어 설명하였다. 그러나 본 발명의 기술적 범위는 이러한 실시예에 의해 제한되는 것이 아니라, 이하의 특허청구범위의 합리적 해석에 의해 정해지는 것이다.The present invention has been described above by way of specific examples and embodiments. However, the technical scope of the present invention is not limited by these embodiments but is determined by a reasonable interpretation of the following claims.

Claims (19)

  1. 설비, 센서, 카메라가 설치되고 작업자가 소지한 모바일 단말기가 위치하며 관리대상 관심객체가 존재하는 관리현장과, 이 관리현장과 통신네트워크를 통해 연결되어 관리현장에서 전송된 데이터를 수신하고 처리하여 관리현장으로 처리데이터를 전송하는 서버를 포함하는 관리현장 안전관리 시스템에 있어서,A mobile terminal in which a facility, a sensor, and a camera are installed, a mobile terminal held by the operator is located, and a management site in which the object of interest exists, and a management terminal connected to the management site through a communication network to receive and process data transmitted from the management site 1. A management site safety management system comprising a server for transmitting processing data to a site,
    상기 서버는 상기 관리현장으로부터 수신된 관심객체 영상 데이터를 처리하여 관리하는 영상처리부와, 처리된 데이터로써 상기 관리현장을 관리하는 설비관리부를 포함하되, The server includes an image processing unit for processing and managing interest object image data received from the management site, and a facility management unit for managing the management site as processed data,
    상기 영상처리부는 관리현장의 영상을 촬영한 영상 신호를 3D 영상으로 모델링하고, 이 영상으로부터 관리현장 내 관심객체의 위치를 식별하고, 상기 3D 모델링된 영상과 상기 위치식별 정보를 매핑하도록 구성되고, Wherein the image processor is configured to model a video signal of an image of a management site as a 3D image, identify a position of an object of interest in the management site from the 3D image, and map the 3D modeled image and the location identification information,
    상기 설비관리부는 상기 모바일 단말기로 장애조치 내역을 지시하고, 상기 모바일 단말기로부터 조치이력, 결과를 수신하여 기록하고, 모바일 단말기로부터 상기 센서, 설비의 측정데이터를 수신하여 기록하도록 구성되는, 관리현장 안전관리 시스템.Wherein the facility management unit instructs the failover details to the mobile terminal, receives and records action history and results from the mobile terminal, and receives and records measurement data of the sensor and the facility from the mobile terminal. Management system.
  2. 제1항에 있어서, 상기 관리현장의 영상은 상기 센서 또는 카메라로부터 서버로 전송되는 것을 특징으로 하는 관리현장 안전관리 시스템.The management site safety management system according to claim 1, wherein the image of the management site is transmitted from the sensor or the camera to the server.
  3. 제1항에 있어서, 상기 관리현장의 영상은 상기 모바일 단말기로부터 서버로 전송되는 것을 특징으로 하는 관리현장 안전관리 시스템.The management site safety management system according to claim 1, wherein the image of the management site is transmitted from the mobile terminal to the server.
  4. 제1항에 있어서, 상기 모바일 단말기는The method of claim 1, wherein the mobile terminal
    서버로부터 수신한 작업자의 이동경로 영상 출력 수단, A movement path image output means of an operator received from the server,
    서버로부터 수신한 이동경로 영상에 현장의 관심객체 위치를 표시하는 수단,Means for displaying the location of the object of interest on the route route image received from the server,
    관리현장 내의 설비와 센서와 연동하여 자동 검침을 수행하는 수단을 포함하는 관리현장 안전관리 시스템.A management site safety management system including means for performing automatic meter reading in conjunction with facilities and sensors in a management site.
  5. 제1항에 있어서, 상기 서버의 상기 영상처리부는 The apparatus of claim 1, wherein the image processor of the server
    상기 모바일 단말기의 이동경로 영상을 관리현장으로 전송하여, 관리현장에 있는 작업자의 모바일 단말기가 이를 수신하여 표시하도록 하는 수단과, 관리현장에 긴급상황 알림 신호를 전송하는 수단을 추가로 포함하는 관리현장 안전관리 시스템.Means for transmitting a moving route image of the mobile terminal to a management site to receive and display the mobile terminal of the worker at the management site, and means for transmitting an emergency notification signal to the management site Safety management system.
  6. 제1항에 있어서, 상기 관리현장의 센서와 카메라는 The method of claim 1, wherein the sensor and the camera of the management site
    관리현장에 설치된 레일을 따라 이동하는 무인탐지장치에 설치되며, Installed on an unmanned detection device moving along a rail installed on a management site,
    이 무인탐지장치의 전력은 상기 레일을 통해 공급받고, 무인탐지장치의 데이터 송수신은 전력선통신(PLC)으로 수행되는 것을 특징으로 하는 관리현장 안전관리 시스템.Wherein the power of the unmanned detection device is supplied through the rail, and the data transmission / reception of the unmanned detection device is performed by a power line communication (PLC).
  7. 제6항에 있어서, 상기 관리현장 내의 무인탐지장치는 다수이며, 이들 무인탐지장치는 PLC통신용 LAN 망을 구성하도록 연결되는 것을 특징으로 하는 관리현장 안전관리 시스템.The system according to claim 6, wherein there are a plurality of unmanned detection devices in the management site, and the unmanned detection devices are connected to form a LAN for PLC communication.
  8. 제1항에 있어서, 상기 관리현장 안전관리 시스템은2. The system of claim 1, wherein the management site safety management system
    통신네트워크를 통해 상기 관리현장의 안전관리를 수행하는 중앙통제센터를 추가로 포함하는 관리현장 안전관리 시스템.Further comprising a central control center for performing the safety management of the management site through a communication network.
  9. 제1항에 있어서, 상기 관리현장의 관심객체는 관리현장의 크랙이며, 상기 서버는 2. The method of claim 1, wherein the object of interest at the management site is a crack at the management site,
    관리현장의 크랙 진단에 필요한 빅데이터를 수집하여 딥러닝을 수행해서 진단 모델을 구축하는 수단, A means for collecting big data necessary for crack diagnosis at the management site and performing deep running to build a diagnostic model,
    상기 관리현장에서 촬영된 관리현장의 크랙 영상을 수신하여 상기 딥러닝으로 구축된 진단 모델을 이용하여 크랙을 진단하는 수단을 포함하는 관리현장 안전관리 시스템. And means for diagnosing a crack by receiving a crack image of a management site photographed at the management site and using the diagnosis model constructed by the deep run.
  10. 제1항에 있어서, 상기 관리현장의 관심객체는 애자 또는 절연 설비이며, 상기 서버는 2. The system of claim 1, wherein the object of interest at the management site is an insulator or an insulated installation,
    위치 인식용 태그를 이용하여 애자 또는 절연 설비의 위치 인식을 수행하는 수단을 포함하는 관리현장 안전관리 시스템.And means for performing position recognition of the insulator or insulator using a tag for position recognition.
  11. 제1항에 있어서, 상기 관리현장의 관심객체는 화재이며, 상기 서버는 The method of claim 1, wherein the object of interest at the management site is a fire,
    관리현장의 센서와 카메라로 화재 등의 사고를 감지하여 전송된 감지 정보를 수신하여 영상처리, 상태인식, 조치방안에 관한 처리를 수행하여 관리현장으로 지령을 전송하는 수단을 포함하는 관리현장 안전관리 시스템.Including the means to detect the fire and other accidents with the sensor and camera at the management site, receive the transmitted detection information, and process the image processing, state recognition, and measures to transmit the command to the management site. system.
  12. 제1항에 있어서, 상기 관리현장의 관심객체는 지하철 스크린도어이며, 상기 서버는 The method of claim 1, wherein the object of interest at the management site is a subway screen door,
    관리현장으로부터 스크린도어 고장감지 정보가 전송되면, 이를 수신 및 분석 처리하여, 스크린도어의 위치 산정, 고장 내용 인지, 조치사항 도출 작업을 수행하고 스크린도어의 고장이 일어난 관리현장으로 조치사항 지령을 전송하는 수단을 포함하는 관리현장 안전관리 시스템.When the screen door failure detection information is transmitted from the management site, it receives and analyzes the screen door, calculates the position of the screen door, ascertains the contents of the failure, draws out the action items, and sends the action instruction to the management site where the screen door has failed Wherein said management system comprises:
  13. 설비, 센서, 카메라가 설치되고 작업자가 소지한 모바일 단말기가 위치하며 관리대상 관심객체가 존재하는 관리현장과 통신네트워크를 통해 연결되어 관리현장에서 전송된 데이터를 수신하고 처리하여 관리현장으로 처리데이터를 전송하는 관리현장 안전관리 서버에 있어서,It is equipped with equipment, sensor, camera and mobile terminal located by the worker. It is connected to the management site where the object of interest is located, through the communication network, receives and processes the data transmitted from the management site, A management site security management server for transmitting,
    상기 서버는 상기 관리현장으로부터 수신된 관심객체 영상 데이터를 처리하여 관리하는 영상처리부와, 처리된 데이터로써 상기 관리현장을 관리하는 설비관리부를 포함하되, The server includes an image processing unit for processing and managing interest object image data received from the management site, and a facility management unit for managing the management site as processed data,
    상기 영상처리부는 관리현장의 영상을 촬영한 영상 신호를 3D 영상으로 모델링하고, 이 영상으로부터 관리현장 내 관심객체의 위치를 식별하고, 상기 3D 모델링된 영상과 상기 위치식별 정보를 매핑하도록 구성되고, Wherein the image processor is configured to model a video signal of an image of a management site as a 3D image, identify a position of an object of interest in the management site from the 3D image, and map the 3D modeled image and the location identification information,
    상기 설비관리부는 상기 모바일 단말기로 장애조치 내역을 지시하고, 상기 모바일 단말기로부터 조치이력, 결과를 수신하여 기록하고, 모바일 단말기로부터 상기 센서, 설비의 측정데이터를 수신하여 기록하도록 구성되는, 관리현장 안전관리 서버.Wherein the facility management unit instructs the failover details to the mobile terminal, receives and records action history and results from the mobile terminal, and receives and records measurement data of the sensor and the facility from the mobile terminal. Management server.
  14. 제13항에 있어서, 상기 서버의 상기 영상처리부는 14. The system of claim 13, wherein the image processing unit of the server
    상기 모바일 단말기의 이동경로 영상을 관리현장으로 전송하여, 관리현장에 있는 작업자의 모바일 단말기가 이를 수신하여 표시하도록 하는 수단과, 관리현장에 긴급상황 알림 신호를 전송하는 수단을 추가로 포함하는, 관리현장 안전관리 서버.Means for transmitting a moving route image of the mobile terminal to a management site to allow the mobile terminal of a worker at the management site to receive and display the image and an emergency status notification signal to the management site, On-site safety management server.
  15. 제13항에 있어서, 통신네트워크를 통해 상기 관리현장의 안전관리를 수행하는 중앙통제센터를 추가로 포함하는, 관리현장 안전관리 서버.14. The management site security management server of claim 13, further comprising a central control center for performing security management of the management site via a communication network.
  16. 제13항에 있어서, 상기 관리현장의 관심객체는 관리현장의 크랙이며, 상기 서버는 14. The system of claim 13, wherein the object of interest at the management site is a crack at the management site,
    관리현장의 크랙 진단에 필요한 빅데이터를 수집하여 딥러닝을 수행해서 진단 모델을 구축하는 수단, A means for collecting big data necessary for crack diagnosis at the management site and performing deep running to build a diagnostic model,
    상기 관리현장에서 촬영된 관리현장의 크랙 영상을 수신하여 상기 딥러닝으로 구축된 진단 모델을 이용하여 크랙을 진단하는 수단을 포함하는, 관리현장 안전관리 서버. And means for diagnosing a crack by receiving a crack image of a management site photographed at the management site and using the diagnosis model constructed by the deep run.
  17. 제13항에 있어서, 상기 관리현장의 관심객체는 애자 또는 절연 설비이며, 상기 서버는 14. The system of claim 13, wherein the object of interest at the management site is an insulator or an insulated installation,
    위치 인식용 태그를 이용하여 애자 또는 절연 설비의 위치 인식을 수행하는 수단을 포함하는, 관리현장 안전관리 서버.And means for performing location awareness of the insulator or insulated facility using the tag for location awareness.
  18. 제13항에 있어서, 상기 관리현장의 관심객체는 화재이며, 상기 서버는 14. The system of claim 13, wherein the object of interest at the management site is a fire,
    관리현장의 센서와 카메라로 화재 등의 사고를 감지하여 전송된 감지 정보를 수신하여 영상처리, 상태인식, 조치방안에 관한 처리를 수행하여 관리현장으로 지령을 전송하는 수단을 포함하는, 관리현장 안전관리 서버.And a means for transmitting the command to the management site by performing processing related to image processing, state recognition, and measures by receiving the transmitted sensing information by sensing an accident such as a fire with a sensor and a camera at the management site, Management server.
  19. 제13항에 있어서, 상기 관리현장의 관심객체는 지하철 스크린도어이며, 상기 서버는 14. The system of claim 13, wherein the object of interest at the management site is a subway screen door,
    관리현장으로부터 스크린도어 고장감지 정보가 전송되면, 이를 수신 및 분석 처리하여, 스크린도어의 위치 산정, 고장 내용 인지, 조치사항 도출 작업을 수행하고 스크린도어의 고장이 일어난 관리현장으로 조치사항 지령을 전송하는 수단을 포함하는, 관리현장 안전관리 서버.When the screen door failure detection information is transmitted from the management site, it receives and analyzes the screen door, calculates the position of the screen door, ascertains the contents of the failure, draws out the action items, and sends the action instruction to the management site where the screen door has failed A management site safety management server.
PCT/KR2017/013268 2017-11-16 2017-11-21 Site safety management system using unmanned detection device WO2019098430A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR10-2017-0153067 2017-11-16
KR1020170153067A KR101949525B1 (en) 2017-11-16 2017-11-16 Safety management system using unmanned detector

Publications (1)

Publication Number Publication Date
WO2019098430A1 true WO2019098430A1 (en) 2019-05-23

Family

ID=65949014

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2017/013268 WO2019098430A1 (en) 2017-11-16 2017-11-21 Site safety management system using unmanned detection device

Country Status (2)

Country Link
KR (1) KR101949525B1 (en)
WO (1) WO2019098430A1 (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110361049A (en) * 2019-07-08 2019-10-22 中铁第一勘察设计院集团有限公司 Building equipment operation state movable type monitoring method
CN110971878A (en) * 2019-12-12 2020-04-07 北京京能清洁能源电力股份有限公司北京分公司 Engineering field management system
CN111107327A (en) * 2020-01-03 2020-05-05 国家电网有限公司 Insulating equipment abnormity alarm method based on Internet of things
US20220300552A1 (en) * 2019-06-04 2022-09-22 Schlumberger Technology Corporation Applying geotags to images for identifying exploration opportunities
CN116185040A (en) * 2023-03-17 2023-05-30 湖南科技大学 Underground unmanned mine car safe running control method and system

Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102344435B1 (en) * 2019-09-11 2021-12-29 (주)이앤제너텍 Safety control service system unsing artifical intelligence
KR102161244B1 (en) * 2020-02-26 2020-09-29 (주)윈텍 Industrial equipment monitoring and alarm apparatus and its method
CN111310761B (en) * 2020-03-06 2022-04-29 西南交通大学 Contact net insulator detection method based on reconstruction and classification convolution self-coding network
CN113408319A (en) * 2020-03-16 2021-09-17 广州汽车集团股份有限公司 Urban road abnormity perception processing method, device, system and storage medium
KR102165388B1 (en) * 2020-04-17 2020-10-14 (주)모두그룹 Intergration monitoring system of platform screen door
KR102165390B1 (en) * 2020-04-17 2020-10-14 (주)모두그룹 Management method of intergration monitoring system of platform screen door
CN111985589B (en) * 2020-08-26 2022-03-22 广州南沙珠江啤酒有限公司 Movable equipment management system based on code scanning positioning
KR102435640B1 (en) 2020-11-11 2022-08-25 현대건설주식회사 Robots for high-altitude operation and operation methods using them
KR20220064129A (en) 2020-11-11 2022-05-18 현대건설주식회사 Self-driving methods of robots using BIM data and robots for performing them
KR102278248B1 (en) * 2020-11-11 2021-07-16 주식회사 영신 AI based dangerous situation detection system for mobile crane and work of ground work place yard using analyzing accident cause big data of mobile crane and work of ground work place yard
KR102488369B1 (en) 2020-11-11 2023-01-13 현대건설(주) Methods and devices for determining the color of safety helmets for workers in construction sites
KR102554662B1 (en) * 2020-12-15 2023-07-13 (주)현성 Safety management system using unmanned detector
WO2023287276A1 (en) * 2021-07-16 2023-01-19 Petroliam Nasional Berhad (Petronas) Geographic data processing methods and systems for detecting encroachment by objects into a geographic corridor
KR102369229B1 (en) * 2021-09-16 2022-03-03 주식회사 시티랩스 Risk prediction system and risk prediction method based on a rail robot specialized in an underground tunnel
KR102421223B1 (en) * 2022-05-24 2022-07-14 송예식 Method and System for preventing serious accident in idustrial site

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006260443A (en) * 2005-03-18 2006-09-28 Denso Corp Monitor control device and method
KR20110109621A (en) * 2010-03-31 2011-10-06 (주)티엘씨테크놀로지 Safety management system and method
KR101256894B1 (en) * 2012-10-04 2013-04-23 주식회사 에스알티 System monitoring device using 3d images and pictures by real-time information
KR20170060973A (en) * 2015-11-25 2017-06-02 울산대학교 산학협력단 Operating method and system for drones to prevent industrial disasters
KR101745670B1 (en) * 2017-02-08 2017-06-27 김동관 System for managing worker using position information
JP2017117147A (en) * 2015-12-24 2017-06-29 前田建設工業株式会社 Structure construction management method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006260443A (en) * 2005-03-18 2006-09-28 Denso Corp Monitor control device and method
KR20110109621A (en) * 2010-03-31 2011-10-06 (주)티엘씨테크놀로지 Safety management system and method
KR101256894B1 (en) * 2012-10-04 2013-04-23 주식회사 에스알티 System monitoring device using 3d images and pictures by real-time information
KR20170060973A (en) * 2015-11-25 2017-06-02 울산대학교 산학협력단 Operating method and system for drones to prevent industrial disasters
JP2017117147A (en) * 2015-12-24 2017-06-29 前田建設工業株式会社 Structure construction management method
KR101745670B1 (en) * 2017-02-08 2017-06-27 김동관 System for managing worker using position information

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20220300552A1 (en) * 2019-06-04 2022-09-22 Schlumberger Technology Corporation Applying geotags to images for identifying exploration opportunities
US11797605B2 (en) * 2019-06-04 2023-10-24 Schlumberger Technology Corporation Applying geotags to images for identifying exploration opportunities
CN110361049A (en) * 2019-07-08 2019-10-22 中铁第一勘察设计院集团有限公司 Building equipment operation state movable type monitoring method
CN110971878A (en) * 2019-12-12 2020-04-07 北京京能清洁能源电力股份有限公司北京分公司 Engineering field management system
CN110971878B (en) * 2019-12-12 2020-11-06 北京京能清洁能源电力股份有限公司北京分公司 Engineering field management system
CN111107327A (en) * 2020-01-03 2020-05-05 国家电网有限公司 Insulating equipment abnormity alarm method based on Internet of things
CN116185040A (en) * 2023-03-17 2023-05-30 湖南科技大学 Underground unmanned mine car safe running control method and system
CN116185040B (en) * 2023-03-17 2023-10-20 湘潭市电机车厂有限公司 Underground unmanned mine car safe running control method and system

Also Published As

Publication number Publication date
KR101949525B1 (en) 2019-03-18

Similar Documents

Publication Publication Date Title
WO2019098430A1 (en) Site safety management system using unmanned detection device
CN110707823B (en) Multi-dimensional intelligent remote inspection system for transformer substation
WO2022131388A1 (en) Artificial intelligence-based safety management system using mobile unmanned detection device
WO2019132112A1 (en) System for monitoring abnormal states of facilities to be managed
CN112288984A (en) Three-dimensional visual unattended substation intelligent linkage system based on video fusion
CN105574683A (en) Omni-directional transformer station inspection system and method
CN105931411A (en) Firefighting remote monitoring and early warning platform of multistoried building and realization method of platform
WO2011087278A2 (en) Integrated control system for facilities using a local area data collecting and recording device
CN103235562A (en) Patrol-robot-based comprehensive parameter detection system and method for substations
CN112738468B (en) Safety early warning method for intelligent park
KR102369229B1 (en) Risk prediction system and risk prediction method based on a rail robot specialized in an underground tunnel
CN105338112A (en) Internet of Things-based shield tunnel construction refine digit management platform
CN113203049B (en) Intelligent monitoring and early warning system and method for pipeline safety
WO2017188572A1 (en) Hinged cantilever deformation inspection system
CN108765398B (en) Rail transit monitoring management platform
WO2022071756A1 (en) Fire protection method and fire protection system
CN108227617A (en) A kind of tyre crane remote detection and assessment system
CN210222962U (en) Intelligent electronic fence system
CN113206978A (en) Security intelligent monitoring early warning system and method for oil and gas pipeline station
KR101539734B1 (en) Automatic tracking system failure in distribution lines
KR101729985B1 (en) Tunnel integrated disaster prevention and broadcasting system for maintaining many tunnel integrated disaster prevention devices
CN115661964A (en) Intelligent inspection system for comprehensive pipe gallery
CN115939996A (en) Automatic inspection system of power inspection robot
CN105978144A (en) Infrared monitoring system for automatic cruise transformer station based on APP platform alarm
CN108280895A (en) A kind of explosion-proof crusing robot of petrochemical industry and explosion protection system

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17932104

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 17932104

Country of ref document: EP

Kind code of ref document: A1

122 Ep: pct application non-entry in european phase

Ref document number: 17932104

Country of ref document: EP

Kind code of ref document: A1