WO2023074995A1 - System for detecting and expressing abnormal temperature at industrial site by using thermal imaging camera and generating alarm to inform of same, and operation method thereof - Google Patents

System for detecting and expressing abnormal temperature at industrial site by using thermal imaging camera and generating alarm to inform of same, and operation method thereof Download PDF

Info

Publication number
WO2023074995A1
WO2023074995A1 PCT/KR2021/017279 KR2021017279W WO2023074995A1 WO 2023074995 A1 WO2023074995 A1 WO 2023074995A1 KR 2021017279 W KR2021017279 W KR 2021017279W WO 2023074995 A1 WO2023074995 A1 WO 2023074995A1
Authority
WO
WIPO (PCT)
Prior art keywords
temperature
abnormal
facility
industrial site
alarm
Prior art date
Application number
PCT/KR2021/017279
Other languages
French (fr)
Korean (ko)
Inventor
이동훈
이기춘
주용택
정종문
정동준
고윤영
김혜리
백정석
하선철
Original Assignee
(주)연합안전컨설팅
연세대학교 산학협력단
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 (주)연합안전컨설팅, 연세대학교 산학협력단 filed Critical (주)연합안전컨설팅
Publication of WO2023074995A1 publication Critical patent/WO2023074995A1/en

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/182Level alarms, e.g. alarms responsive to variables exceeding a threshold
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/14Central alarm receiver or annunciator arrangements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Definitions

  • the present invention relates to a system that detects and expresses an abnormal temperature in an industrial site using a thermal imaging camera and generates an alarm to notify the user, and an operating method thereof.
  • CCTV surveillance camera systems
  • Patent Document 1 KR 10-2015-0050752 A
  • An object according to an embodiment of the present invention is a thermal imaging camera that analyzes a thermal image received from a camera photographing an industrial site and determines that an abnormal event has occurred when a temperature outside the normal range is measured. It provides a system and its operation method for detecting and expressing and alerting by generating an alarm.
  • a system for detecting and expressing an abnormal temperature at an industrial site and generating an alarm using a thermal imaging camera includes a camera module for generating a thermal image by photographing an industrial site, and a thermal image received from the camera module. It may include a server that analyzes the thermal image and determines whether an abnormal temperature exists in the facility.
  • the server analyzes the storage unit for storing the optical image and the thermal image received from the camera module, determines whether a temperature outside the normal temperature is detected, and if a temperature outside the normal temperature is detected, a facility abnormality is detected.
  • a facility abnormality determination unit outputting the occurrence of an event, and a notification unit notifying a manager of the occurrence of the abnormal event when the equipment abnormality determination unit outputs the occurrence of the equipment abnormality event.
  • the equipment abnormality determination unit extracts gray scale values for each pixel from the frame of the thermal image to create a gray scale matrix, and uses the minimum and maximum temperatures of the thermal imaging camera matched to the minimum and maximum values of the gray scale values. Then, the gray scale value is converted into temperature, and the temperature of the pixel is compared with the normal temperature. If there is a difference greater than the standard deviation, a facility failure event can be output.
  • the normal temperature may be determined as an average of temperatures collected during the steady-state adaptation period for each pixel.
  • the facility abnormality determination unit may not output an equipment abnormality event when the temperature of the pixel determined to be out of the normal temperature corresponds to the body temperature range.
  • the facility abnormality determination unit may apply the normal temperature differently according to the operating state of the facility.
  • the facility abnormality determination unit may divide the frame into one or more zones, and set a standard deviation, a high temperature limit value, a low temperature limit value, a normal temperature, a judgment reference time, and a steady state adaptation period differently for each of the zones.
  • the notification unit extracts an image in which the color of a pixel determined to be out of the normal temperature in the frame of the thermal image is displayed as a first color and an optical image image taken in the same direction as the frame of the thermal image from the optical image can be provided to the manager.
  • a method of operating a system for detecting and expressing an abnormal temperature at an industrial site and generating an alarm with a thermal imaging camera the camera module photographs the industrial site, generates a thermal image, and transmits the thermal image to a server.
  • the notification unit of the server may include a notification step of notifying an administrator of the occurrence of an abnormal event.
  • the equipment abnormality determination step includes a temperature calculation step of converting the gray scale value of each pixel of the thermal image frame into the current temperature, and calculating and calculating the deviation between the normal temperature and the current temperature, which is calculated as an average of accumulated temperatures in a normal state.
  • a deviation determination step of determining that an abnormal temperature exists when the measured deviation is greater than the standard deviation may be included.
  • the facility abnormality determination step may further include a body temperature determination step of determining that an abnormal temperature has not occurred when the current temperature is within the body temperature range after the temperature calculation step.
  • the facility abnormality determination step may further include a limit determination step of determining that an abnormal temperature exists when the current temperature is not included between the low temperature limit value and the high temperature limit value after the temperature calculation step.
  • the current temperature is accumulated and stored as a normal temperature in the storage unit, and the normal temperature is calculated by averaging the accumulated normal temperatures.
  • a normal temperature generating step may be further included.
  • the operating method of the system for detecting and expressing an abnormal temperature in an industrial field and generating an alarm using a thermal imaging camera is performed before the image generation step, and the region of the frame and the standard deviation , a high temperature limit value, a low temperature limit value, a normal temperature, a judgment standard time, and a variable setting step of setting one or more of the steady state adaptation period.
  • an event determination step of counting frames or times in which the abnormal temperature exists using a timer and determining that an equipment abnormality event has occurred when the cumulative value of the timer reaches the determination reference time is further performed.
  • the notification step transmits a facility abnormality event through e-mail, includes information on the area where the abnormal temperature occurs in the body of the e-mail, and includes an image displaying pixels where the abnormal temperature occurs in the frame image of the thermal image.
  • a temperature outside the normal range is measured at an industrial site, it is determined that an abnormal event has occurred, and the occurrence of the abnormal event is automatically notified to a manager so as to quickly prevent or respond to accidents.
  • FIG. 1 is a diagram illustrating an industrial site and a system for detecting and expressing an abnormal temperature in an industrial site and generating an alarm using a thermal imaging camera according to an embodiment of the present invention.
  • FIG. 2 is a block diagram illustrating a system for detecting and expressing an abnormal temperature in an industrial site using a thermal imaging camera according to an embodiment of the present invention and generating an alarm to notify the user.
  • 3A is a flowchart illustrating an operation method of a system that detects and expresses an abnormal temperature in an industrial site using a thermal imaging camera according to an embodiment of the present invention and generates and informs an alarm.
  • FIG. 3B is a flowchart specifically illustrating a facility abnormality determination step of an operation method of a system for detecting and expressing an abnormal temperature in an industrial site and generating an alarm to notify an abnormal temperature using a thermal imaging camera according to an embodiment of the present invention.
  • FIG. 4 is a diagram illustrating a process of recognizing a temperature by a system that detects and expresses an abnormal temperature in an industrial site using a thermal imaging camera according to an embodiment of the present invention and issues an alarm.
  • FIG. 5 is a diagram illustrating a process of recognizing a normal temperature by a system that detects and expresses an abnormal temperature in an industrial site using a thermal imaging camera according to an embodiment of the present invention and issues an alarm.
  • FIG. 6 is a diagram illustrating a process of comparing a normal temperature and a current temperature in a system for detecting and expressing an abnormal temperature at an industrial site and generating an alarm using a thermal imaging camera according to an embodiment of the present invention.
  • FIG. 7 is a view showing an alarm generated by a system for detecting and expressing an abnormal temperature in an industrial site and generating an alarm using a thermal imaging camera according to an embodiment of the present invention and displaying an area where an abnormal temperature occurs.
  • FIG. 8 is a diagram illustrating a thermal image frame and an optical frame in which an abnormal temperature is generated, provided to a manager by a notification unit.
  • 9 is a diagram showing the structure of mail used by the notification unit.
  • FIG. 1 is a diagram showing a system 10 and an industrial site 1 that detects and expresses an abnormal temperature in an industrial site using a thermal imaging camera according to an embodiment of the present invention and issues an alarm.
  • the industrial site (1) may include various indoor facilities such as factories, research institutes, laboratories, chemical plants, oil refineries, automation facilities, and smart factories, as well as outdoor facilities such as ports, ports, logistics hubs, and loading docks.
  • various facilities (2) such as motors, heaters, air conditioners, pipes, distillers, etc. may be installed.
  • there may be various people (3) such as workers, managers, or visitors who work using the facility (2). An accident that occurs at an industrial site (1) may injure a person (3) or damage a facility (2).
  • a system 10 that detects and expresses an abnormal temperature at an industrial site using a thermal imaging camera according to an embodiment of the present invention and generates an alarm to notify the user of an accident that may occur at the industrial site 1 in advance, or when an accident occurs
  • an abnormal event occurring in the facility 2 may be detected and the occurrence of the abnormal event may be notified to a manager.
  • the manager may include a safety manager, a worker, and the like of the industrial site (1), and may include public officials such as a fire station, an ambulance, and a district office.
  • the abnormal event may include a facility abnormal event.
  • Abnormal events include cases in which the person (3) falls due to accidents such as leakage of toxic gas or electric shock, or the person (3) falls down due to a disease such as heart attack or stroke, and the person (3) lies on the floor. You may.
  • the facility abnormality event may include the detection of a temperature outside of the normal temperature within the industrial site 1 . For example, when an abnormal temperature occurs, such as a rise in temperature due to overheating of a motor or a pump, a rise in temperature due to a fire, or a drop in temperature due to leakage of cooling water, a facility abnormality event has occurred.
  • the ideal temperature is a temperature out of the normal temperature, and may include a temperature higher than the normal temperature or a temperature lower than the normal temperature.
  • FIG. 2 is a block diagram showing a system 10 that detects and expresses an abnormal temperature at an industrial site using a thermal imaging camera according to an embodiment of the present invention and generates and informs an alarm. See Figures 1 and 2 together.
  • a system 10 for detecting and expressing an abnormal temperature in an industrial site and generating an alarm with a thermal imaging camera according to an embodiment of the present invention, a camera module 100 for generating a thermal image by photographing an industrial site 1 ), and a server 200 that analyzes the thermal image received from the camera module 100 to determine whether an abnormal temperature exists in the facility 2.
  • the camera module 100 may be disposed in the industrial site 1 to photograph a space where facilities 2 or people 3 exist. A plurality of camera modules 100 may be disposed in the industrial site 1 . The camera module 100 may change a photographing direction according to a control signal received from the server 200 . The camera module 100 may include one or more thermal imaging cameras 120 . The camera module 100 may include an optical camera 110 and a thermal imaging camera 120 together in one module.
  • the optical camera 110 may include a general digital camera of the RGB method.
  • the optical camera 110 may generate an optical image recognizable by the eyes of a person 3 by photographing the industrial site 1 in the visible ray region.
  • the infrared camera (IR camera) 120 may include a digital camera that captures an infrared region.
  • the thermal imaging camera 120 may capture the industrial site 1 in the infrared region and generate a grayscale thermal image.
  • Server 200 may be installed in the industrial site (1).
  • the server 200 may be connected to the camera module 100 through a wired or wireless network, receive an image generated by the camera module 100, and control the camera module 100.
  • the server 200 is a computer device having an information processing function.
  • the camera module 100 and the server 200 may be connected through a closed circuit or through an encrypted network using an IP address.
  • the server 200 analyzes the storage unit 210 for storing the optical image and thermal image received from the camera module 100, the thermal image, determines whether a temperature outside the normal temperature is detected, and detects a temperature outside the normal temperature. If the equipment failure event occurs, the equipment failure determination unit 240 outputs the occurrence of the equipment failure event, and when the equipment failure determination unit 240 outputs the occurrence of the equipment failure event, the notification unit 250 notifies the manager of the occurrence of the abnormal event.
  • the server 200 may further include a communication unit 220 connected to a wired or wireless network to transmit and receive data, and an interface unit 230 to receive a manager's command or provide data or information to the manager.
  • the storage unit 210 detects and expresses an abnormal temperature in an industrial field using an optical image, a thermal image, or a thermal image camera according to an embodiment of the present invention, and generates an alarm to inform the operating method of the system 10 implemented in software. stored program code and other necessary data.
  • the storage unit 210 may include a hard disk, a memory, a cloud storage device, a database, and the like.
  • the communication unit 220 may be connected to a wired or wireless network to transmit and receive data between the camera module 100 , the manager terminal 300 , and the server 200 .
  • the communication unit 220 may use known communication methods such as the World Wide Web (www), Ethernet, IPv4, IPv6, LAN, and WAN.
  • the communication unit 220 may use a known short-range communication method such as wi-fi, bluetooth, zigbee, or the like.
  • the interface unit 230 may include input devices such as a keyboard, mouse, touch panel, and switch capable of receiving commands from a manager, and output devices such as a display, speaker, and printer capable of providing information to the manager.
  • input devices such as a keyboard, mouse, touch panel, and switch capable of receiving commands from a manager
  • output devices such as a display, speaker, and printer capable of providing information to the manager.
  • the facility abnormality determining unit 240 and the notifying unit 250 may be written in program codes and implemented in a manner that runs on the processor or graphics processing unit (GPU) of the server 200, or may be implemented within the server 200. It may be implemented as an independent computer device included.
  • GPU graphics processing unit
  • the equipment abnormality determining unit 240 determines whether an abnormal temperature is captured in the thermal image of the industrial site 1 based on the normal temperature.
  • the presence of an abnormal temperature higher or lower than the normal temperature in the thermal image means that there is a problem in the facility (2). For example, if the temperature of the facility 2 rises or falls below the normal temperature, it indicates that there is a possibility of an accident. If a fire or leak occurs due to an accident in the facility 2, a temperature change may occur in an area other than the facility 2, which may indicate the occurrence of an accident.
  • the facility abnormality determination unit 240 may output information about a pixel having an abnormal temperature along with a facility abnormality event.
  • the notification unit 250 When the facility abnormality determining unit 240 outputs the occurrence of a facility abnormality event, the notification unit 250 notifies the manager of the occurrence of the abnormal event and informs the contents of the abnormal event.
  • the contents of the abnormal event include the location of the camera module 100 that captured the abnormal event, the occurrence time of the abnormal event, the frame of the optical image or thermal image in which the abnormal event occurred, guidelines for responding to the abnormal event, and other necessary information. can include
  • the notification unit 250 may automatically transmit a phone call, text message, e-mail, etc. to the administrator terminal 300, display the occurrence of an abnormal event on a display, or notify the occurrence of an abnormal event through a speaker.
  • the notification unit 250 may provide a manager with an image displaying a pixel having an abnormal temperature in a frame of a thermal image in which an abnormal temperature is detected based on information on a pixel having an abnormal temperature. .
  • the notification unit 250 may automatically generate an e-mail including an image in which an abnormal temperature is detected as a highlight or an arrow, and send the e-mail to the administrator's e-mail address.
  • FIGS. 2 and 3A is a flowchart illustrating an operation method of a system that detects and expresses an abnormal temperature in an industrial site using a thermal imaging camera according to an embodiment of the present invention and generates and informs an alarm. See FIGS. 2 and 3A together.
  • an operating method of a system 10 that detects and expresses an abnormal temperature in an industrial site and generates and informs an alarm with a thermal imaging camera, the optical camera 110 of the camera module 100 (1) is photographed to generate an optical image and transmitted to the server 200, and the thermal image camera 120 of the camera module 100 photographs the industrial site 1 to generate a thermal image and the server 200 image generation step (S21), equipment abnormality determination step (S22) of determining that a facility abnormality event has occurred when the temperature recognized from the thermal image by the equipment abnormality determination unit 240 of the server 200 is out of the normal temperature; and a notification step ( S23 ) in which the notification unit 250 of the server 200 notifies the manager of the occurrence of the abnormal event when the facility abnormality determination unit 240 outputs the occurrence of the facility abnormality event.
  • the image generation step (S21) and facility abnormality determination step (S22) may be included in the monitoring step (S20).
  • the monitoring step (S20) is repeatedly performed in real time while the operating method of the system 10, which detects and expresses the abnormal temperature of the industrial site and generates and informs an alarm with the thermal imaging camera according to an embodiment of the present invention, is performed.
  • the equipment abnormality determination step (S22) may be performed by the equipment abnormality determination unit 240.
  • the notification unit 250 performs a notification step (S23) when an abnormal event is output from the equipment abnormality determination unit 240.
  • the operation method of the system that detects and expresses the abnormal temperature of the industrial site with a thermal imaging camera and generates an alarm to inform the operation method is performed before the image generation step, and the area of the frame, standard deviation, high temperature limit value, low temperature limit value, normal A variable setting step (S10) of setting one or more of the temperature, the judgment reference time, and the steady state adaptation period may be further included.
  • the variable setting step (S10) may be performed by the facility abnormality determination unit 240 before the monitoring step (S20) is performed.
  • the variable setting step (S10) may be performed according to a manager's input or a predetermined algorithm.
  • the variable setting step (S10) may be performed at any moment according to the manager's command.
  • FIG. 3B is a flowchart specifically illustrating a facility abnormality determination step (S22) of a method of operating a system for detecting and expressing an abnormal temperature at an industrial site and generating an alarm to notify an abnormal temperature using a thermal imaging camera according to an embodiment of the present invention.
  • the facility abnormality determination step ( S22 ) may include a temperature calculation step ( S110 ) of converting a gray scale value for each pixel of a thermal image frame into a current temperature. Then, in the equipment abnormality determination step (S22), after the temperature calculation step (S110), if the current time is before the steady state adaptation period, the current temperature is accumulated and stored in the storage unit 210 as the normal temperature, and the accumulated normal temperature
  • a normal temperature generation step (S120) is performed to recognize the temperature of the facility 2 in a normal state, and a body temperature determination step (S130), a limit determination step (S140), and a deviation determination step It is possible to determine whether an abnormal temperature exists by performing (S150) in order. If it is determined that the abnormal temperature exists (S160), the event determination step (S170) is performed, and if it is determined that the abnormal temperature is maintained longer than the determination reference time, it is determined that a facility abnormality event exists (S180), and the equipment abnormality determination unit 240 may output the presence of an abnormal event.
  • the temperature calculation step (S110) will be described with reference to FIGS. 2, 3B and 4.
  • FIG. 4 is a diagram illustrating a process of recognizing the temperature of the system 10, which detects and expresses an abnormal temperature in an industrial site with a thermal imaging camera according to an embodiment of the present invention, and generates and informs an alarm.
  • the thermal imaging camera 120 of the camera module 100 captures the industrial site 1 in the infrared region and generates a thermal image.
  • the generated thermal image is stored in the storage unit 210 of the server 200 .
  • Thermal images are created in grayscale.
  • a frame shown in FIG. 4 is a frame arbitrarily extracted from a thermal image for explanation of an embodiment of the present invention.
  • a frame has a gray scale value for each pixel.
  • the equipment abnormality determination unit 240 performs the equipment abnormality determination step (S22).
  • the facility abnormality determining unit 240 extracts gray scale values for each pixel from the frame of the thermal image to create a gray scale matrix, and matches the minimum and maximum values of the gray scale values of the thermal imaging camera.
  • a gray scale value is converted into a temperature using the minimum temperature and maximum temperature of (120), and the temperature of the pixel is compared with the normal temperature, and if there is a difference of more than a standard deviation, a facility failure event can be output.
  • the equipment abnormality determination unit 240 performs a temperature calculation step (S110).
  • a gray scale matrix is generated by extracting the gray scale value of each pixel of the frame.
  • the number of rows and columns of the grayscale matrix may be determined according to the number of horizontal and vertical pixels of the frame.
  • the grayscale matrix may correspond 1:1 to the frame.
  • the grayscale matrix may be formed in the form of a matrix of (m by n).
  • the grayscale matrix may be stored in the storage unit 210 .
  • the gray scale matrix can represent values from 0 to 255, and can represent white when 0 and black when 255.
  • a maximum measurable temperature (Tmax) and a minimum temperature (Tmin) that can be measured are determined.
  • the thermal imaging camera 120 generates a gray scale thermal image by calculating a gray scale value according to a set ratio of the highest temperature to the lowest temperature. Accordingly, the gray scale value can be converted into an actual temperature according to the ratio of the maximum temperature and the minimum temperature. Converting a gray scale value into a temperature uses Equation 1 below.
  • T i,j (t) current temperature of (i,j) pixel in frame at time t
  • T max maximum temperature set in the thermal imaging camera
  • T min minimum temperature set in the thermal imaging camera
  • G i,j ( t) Grayscale value of pixel (i,j) in the frame at time t. 255: number of lowest and highest grayscale values
  • the temperature calculation step (S110) When the temperature calculation step (S110) is performed, the temperature of each pixel in the thermal image frame at the current time (t) can be calculated.
  • FIG. 5 is a diagram illustrating a process of recognizing a normal temperature by a system 10 that detects and expresses an abnormal temperature in an industrial site using a thermal imaging camera according to an embodiment of the present invention and issues an alarm. 3B and 5 are also referred to.
  • the facility abnormality determination step (S22) of the operating method of the system for detecting and expressing the abnormal temperature of the industrial site and generating an alarm to notify the abnormal temperature of the industrial site with a thermal imaging camera is after the temperature calculation step (S110), the current
  • a normal temperature generating step (S120) of accumulating and storing the current temperature as the normal temperature in the storage unit and calculating the normal temperature by averaging the accumulated normal temperatures may be further included.
  • the normal temperature generating step (S120) is a process of generating a normal temperature by collecting and averaging temperatures in a steady state.
  • the normal temperature may be determined as an average of temperatures collected during the steady-state adaptation period for each pixel.
  • the normal temperature may be set as a range.
  • the steady-state adaptation period is a period for accumulating steady-state temperature data.
  • the steady-state adaptation period may be determined by time or the number of frames.
  • a step of comparing the current time (t) of the thermal image frame and the steady-state adaptation period (t set ) (S121) is performed. If the current time (t) exceeds the steady-state adaptation period (t set ) (Y1), since the period of obtaining the normal temperature has already passed, the body temperature determination step (S130), the limit determination step (S140), and the deviation determination step (S150) one of them can be done. If the current time (t) of the thermal image frame does not exceed the steady state adaptation period (t set ) (N1), it corresponds to the period for accumulating the temperature in the steady state.
  • a steady-state temperature accumulation step (S122) of storing the temperature of each pixel generated in the temperature calculation step (S110) in the storage unit 210 as a steady-state temperature is performed.
  • the steady-state temperature is calculated by averaging the accumulated steady-state temperatures.
  • the steady state temperature can be obtained by averaging the temperature of each pixel during the steady state adaptation period in the thermal image generated by photographing the industrial site 1 in the steady state.
  • the process of calculating the steady-state temperature by accumulating and averaging the steady-state temperatures may be repeated.
  • the deviation determination step (S150) may be performed using the finally calculated normal temperature.
  • the facility abnormality determining unit 240 may obtain a plurality of frames according to time t from the thermal image and average the temperature of each pixel of the frame to generate an average temperature matrix.
  • the normal temperature of pixel 1 (P2) can be obtained by obtaining and averaging the temperatures of six pixels 1 (P1) in six frames from Frame 1 to Frame 6, and In this way, the normal temperatures of the pixels 2 (P2) and 3 (P3) can be obtained.
  • the normal temperature for each pixel can be calculated using Equation 2 below.
  • Ta i,j (t) average temperature of (i,j) pixel in frame during steady-state adaptation period
  • T i,j (x) temperature of (i,j) pixel in frame at time x
  • t set Steady-state adaptation period
  • Normal temperatures can be stored in the form of an average temperature matrix.
  • the facility abnormality determination unit 240 may obtain a normal temperature for each pixel and generate a normal temperature matrix.
  • the normal temperature matrix may vary depending on the industrial site, the work environment, and the stage of the work process.
  • the body temperature determination step (S130) may be performed.
  • the body temperature determination step (S130) it is determined whether the temperature of the pixel is out of the body temperature range by comparing the temperature of the pixel with the range of the body temperature. If the temperature of the pixel does not deviate from the body temperature range (N2), it is not determined that an abnormal temperature has occurred. When the temperature of the pixel is out of the body temperature range (Y2), a limit determination step (S140) or a deviation determination step (S150) may be performed. If the current temperature is out of the body temperature range, another judgment step is performed to determine whether an abnormality has occurred in the facility 2.
  • the limit determination step (S140) can be performed. .
  • the facility abnormality determination unit 240 determines that an abnormal temperature exists (S160) when the current temperature of any pixel is not included between the low temperature limit value and the high temperature limit value (N3).
  • the high temperature threshold is a reference value for detecting a temperature higher than a predetermined temperature. When the current temperature of an arbitrary pixel exceeds the high temperature threshold (N3), it may be determined that an abnormal temperature has occurred.
  • the low temperature threshold is a reference value for detecting a temperature below a predetermined temperature. When the current temperature of an arbitrary pixel is less than the low temperature threshold (N3), it may be determined that an abnormal temperature has occurred. If the current temperature of any pixel is equal to or higher than the low temperature threshold and equal to or lower than the high temperature threshold (Y3), since the temperature is not excessively low or high, a deviation determination step (S150) is performed to determine whether an abnormal temperature exists.
  • FIG. 6 is a diagram illustrating a process of comparing a normal temperature and a current temperature in a system 10 that detects and expresses an abnormal temperature in an industrial field and issues an alarm using a thermal imaging camera according to an embodiment of the present invention.
  • the deviation calculation step of calculating the deviation between the normal temperature and the current temperature, and comparing the calculated deviation with the standard deviation, and when the calculated deviation is greater than the standard deviation (Y4), it is determined that an abnormal temperature exists. and a comparison step of determining that no abnormal temperature exists when the calculated deviation is smaller than the standard deviation (N4).
  • the standard deviation is a reference value of a temperature deviation for detecting an abnormal temperature.
  • the normal temperature is a value determined by the equipment abnormality determining unit 240 and stored in the storage unit 210 . As described with reference to FIG. 5 , it is possible to generate a normal temperature matrix (also referred to as an average temperature matrix in this specification) by averaging the temperature of each pixel in a plurality of frames.
  • a normal temperature matrix also referred to as an average temperature matrix in this specification
  • the facility abnormality determination unit 240 compares the current temperature and normal temperature values of the corresponding frame for each pixel of the frame of the thermal image generated in real time. At this time, the temperature difference between the normal temperature and the current temperature is calculated. When the temperature deviation obtained by comparing the temperature of a certain pixel with the normal temperature is greater than the reference deviation, it can be determined that an abnormal temperature has occurred. In other words, a temperature matrix is generated for each frame of a thermal image generated in real time, and the temperature matrix is compared with a normal temperature matrix (average temperature matrix), and a pixel having a temperature deviation greater than or equal to a standard deviation is determined to have an abnormal temperature.
  • the temperature deviation for each pixel can be calculated using Equation 3 below.
  • Ta i,j (t) Average temperature of (i,j) pixels in a frame during the steady-state adaptation period
  • the facility abnormality determining unit 240 may apply different normal temperatures depending on the operating state of the facility 2 in the facility abnormality determining step (S22).
  • the operating state of the facility 2 may vary depending on the stage of the process.
  • the normal temperature is a high temperature
  • the room temperature of the industrial site 1 may be the normal temperature.
  • the facility abnormality determination unit 240 may recognize a plurality of normal temperatures for each operating state of the facility 2 based on information about the operating state of the facility 2 and store them in the storage unit 210 . And, when the facility 2 enters a predetermined operating state, the equipment abnormality determination unit 240 may determine whether the facility 2 has an abnormal temperature according to the normal temperature of the entered operating state.
  • an abnormal temperature exists through the body temperature determination step (S130), limit determination step (S140), and deviation determination step (S150) (S160), it is determined that an abnormal temperature exists in the frame of the current time (t) will be. Abnormal temperatures may appear temporarily in thermal images due to various causes. It is preferable to determine that an abnormality has occurred in the facility 2 when the occurrence of an abnormal temperature is maintained for a meaningful period of time. Therefore, an event determination step (S170) for determining how long the abnormal temperature lasts is performed.
  • the equipment abnormality determination unit 240 determines whether abnormal temperature has occurred for each set frame or for each set time. It can be output (S180).
  • the judgment reference time is the time for which the temperature should be maintained in order to be judged as an abnormal temperature.
  • the facility abnormality determining unit 240 checks whether the timer is activated (S171), and activates the timer when the timer is in an inactive state (N5) (S172). ).
  • the timer counter is increased by 1 (S173).
  • the timer is activated (S172), a value of 1 is given to the timer counter.
  • the counter continues to increase (173). After incrementing the counter, it is determined whether the counter value has reached the reference time (S174). When the counter value reaches the judgment standard time (Y6), since the abnormal temperature has been maintained for a predetermined time, the equipment abnormality determination unit 240 outputs a facility abnormality event. If the counter value does not reach the judgment standard time (N6), since the abnormal temperature has not been maintained for a set time, it is determined whether there is an abnormal temperature in the next frame.
  • the timer is initialized (S175).
  • the facility abnormality determining unit 240 may repeatedly output a facility abnormal event if the abnormal temperature is continuously maintained for longer than a predetermined determination reference time even after outputting the equipment abnormal event once. If a facility failure event is repeatedly output, the notification unit 250 may repeatedly transmit a notification.
  • the equipment abnormality determination unit 240 divides the frame into one or more zones, and may differently set a standard deviation, a high temperature limit value, a low temperature limit value, a normal temperature, a judgment reference time, and a steady state adaptation period for each zone.
  • the facility abnormality determination unit 240 may divide zones in the frame. For example, 4 zones can be set by dividing the frame into 4 equal parts. Alternatively, nine zones can be set by equally dividing the frame into nine equal parts. Alternatively, a plurality of zones may be set by dividing an area where the first facility is photographed and an area where the second facility is photographed in the frame. A number may be assigned to each zone in a plurality of zones.
  • the facility abnormality determination unit 240 may set the standard deviation, high temperature threshold value, low temperature threshold value, normal temperature, determination reference time, and steady state adaptation period differently for each zone.
  • the high temperature threshold and the low temperature threshold of the first zone may be set higher than those of the second zone.
  • the standard deviation of the third zone may be set larger than that of the fourth zone.
  • Zone setting, standard deviation, high temperature threshold, low temperature threshold, normal temperature setting, determination reference time, and steady state adaptation period may be set differently for each camera module.
  • Various facilities 2 may be installed in the industrial site 1, and the normal temperature may be different for each facility 2. Therefore, appropriate monitoring can be performed according to the industrial site (1) by setting the zone and setting the standard deviation, high temperature threshold value, low temperature threshold value, normal temperature, judgment standard time, and steady state adaptation period differently for each zone.
  • FIG. 7 is a diagram illustrating an alarm generated by displaying an area where an abnormal temperature occurs in a system 10 that detects and expresses an abnormal temperature at an industrial site and generates and informs an alarm using a thermal imaging camera according to an embodiment of the present invention.
  • the equipment abnormality determining unit 240 When an abnormal temperature occurs in the thermal image, the equipment abnormality determining unit 240 outputs an equipment abnormality event, and the alarm unit notifies the manager of the occurrence of abnormal temperature based on the equipment abnormality event.
  • the notification unit 250 When a facility abnormality event is output, the notification unit 250 outputs the coordinates of the pixel where the abnormal temperature occurred, the number of the zone including the pixel where the abnormal temperature occurred, the frame where the abnormal temperature occurred, the time of the frame, and the camera that captured the abnormal temperature.
  • Information related to a facility abnormality event such as the location of the module 100 and the optical image taken by the optical camera 110 of the camera module 100 that captured the abnormal temperature, at the same time frame, etc., can be collected, processed, and provided to the manager. .
  • the notification unit 250 displays the position of the pixel where the abnormal temperature occurred in a first color in a frame, and mails the coordinates of the pixel where the abnormal temperature occurred and the coordinates of the industrial site 1 corresponding to the pixel where the abnormal temperature occurred. can be automatically generated and provided to the administrator.
  • the storage unit 210 stores information capable of matching the position of the industrial site 1 and the coordinates of the frame of the image captured by the camera module 100 according to the direction in which the camera module 100 captures.
  • the notification unit 250 calculates the actual coordinates of the industrial site 1 corresponding to the frame based on the position of the camera module 100 where the abnormal temperature occurred, the direction of the camera module 100, and the pixel coordinates where the abnormal temperature occurred. can do.
  • the first color indicating the position of the pixel where the abnormal temperature has occurred may use chromatic color instead of gray scale. For example, when a high temperature abnormality occurs, red color may be used, and when a low temperature abnormal temperature occurs, blue color may be used. Alternatively, an arrow may be displayed at a corresponding position in the gray scale frame, or an area where an abnormal temperature occurs may be displayed by hatching. An achromatic or chromatic box may be displayed centered on the part where the abnormal temperature occurs.
  • the manager can easily recognize the location where the abnormality occurred in the industrial site 1, and can immediately take necessary measures.
  • FIG. 8 is a diagram illustrating a thermal image frame and an optical frame in which an abnormal temperature is generated, which are provided to a manager by the notification unit 250.
  • the notification unit 250 extracts an image in which the color of a pixel determined to be out of the normal temperature in the frame of the thermal image is displayed as a first color and an optical image image taken in the same direction as the frame of the thermal image from the optical image, and manages them together. can be provided to
  • a frame of a thermal image is a gray scale image, and is an image whose gray scale value varies according to temperature. Therefore, since the image is generated by the temperature regardless of the shape of the object, it may be difficult for a manager to immediately recognize the corresponding location of the industrial site 1 by looking at only the gray-scale image.
  • the notification unit 250 displays pixels in the thermal image frame where the abnormal temperature occurs in a first color, arrows, circles, etc., and displays pixels in the optical image frame where the abnormal temperature occurs in the same direction at the same time. It may be displayed in a first color, an arrow, a circle, or the like, and provided to a manager. The administrator can easily recognize the point where the abnormal temperature occurs by checking the optical image frame and the thermal image frame together.
  • the first color may be a chromatic color.
  • FIG. 9 is a diagram showing the structure of mail used by the notification unit 250. Referring to FIG.
  • a facility abnormality event is transmitted via e-mail, information on the area where the abnormal temperature occurs is included in the body of the e-mail, and an image displaying pixels where the abnormal temperature occurs is included in the frame image of the thermal image.
  • a message structure provided using e-mail may be composed of a mail header (Mail Header, 910) and a mail body (Mail Body, 920).
  • the mail header 910 includes a sender mail address (911), a receiver mail address (912), a camera IP address (913), an event flag (914), a port ( Port, 915) and timestamp (Timestamp, 916).
  • the sender mail address 911 and the receiver mail address 912 indicate the mail addresses of the sender and receiver of the alarm alarm mail, respectively, and the camera IP address 913 is the camera 100 that detects the abnormal temperature change corresponding to the alarm.
  • the event flag 914 may be used to indicate the cause of the abnormal temperature change, such as the occurrence of a facility abnormality event, exceeding a temperature deviation, high temperature or low temperature.
  • a port 915 represents a port number of an e-mail transmission channel, and a timestamp 916 represents a time when a corresponding alert occurred.
  • the mail body 920 includes a mail title (Title, 921), sector information (Sector Information, 922), and image (Image, 923).
  • the mail title 921 indicates the title of the abnormal temperature change alert mail
  • the zone information 922 indicates the zone where the abnormal temperature change is detected in the frame of the camera
  • the image 923 shows the abnormal temperature change detected in the thermal image frame. It may include an image displaying a designated area, pixel, coordinates, etc., and an optical image taken in the same direction.

Abstract

Provided are, according to one embodiment of the present invention, a system for detecting and expressing an abnormal temperature at an industrial site by using a thermal imaging camera and generating an alarm to inform of same, and an operation method thereof, the system comprising: a camera module that creates a thermal image by photographing an industrial site; and a server that analyzes the thermal image received from the camera module and determines whether an abnormal temperature exists in the facility, wherein if an abnormal temperature appears in the thermal image, it notifies a manager of an abnormal facility event, such that an accident can be prevented in advance or an accident can be quickly dealt with.

Description

열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템 및 이의 동작 방법A system that detects and expresses an abnormal temperature at an industrial site with a thermal imaging camera and generates an alarm and an operation method thereof
본 발명은 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템 및 이의 동작 방법에 관한 것이다. The present invention relates to a system that detects and expresses an abnormal temperature in an industrial site using a thermal imaging camera and generates an alarm to notify the user, and an operating method thereof.
산업현장에서 사고에 의한 경제적 손실과 인명 손실이 발생하고 있다. 최근 정보통신기술(Information and Communication Technology)의 발전으로 산업현장의 사고를 자동으로 탐지하려는 시도가 존재한다. 종래의 산업현장 안전 관리 기술은 설비에 설치된 센서로부터 수집된 데이터를 분석하여 사고여부를 감지하는 것으로서 이용할 수 있는 데이터가 한정되어 있고 이용 범위가 좁은 문제가 있다. Economic loss and human loss are occurring due to accidents at industrial sites. Recently, with the development of information and communication technology, there are attempts to automatically detect accidents in industrial sites. Conventional industrial site safety management technology analyzes data collected from sensors installed in facilities to detect accidents, and there is a problem in that available data is limited and the range of use is narrow.
한편, 종래에 산업현장에서 이용되는 감시카메라 시스템(CCTV)은 영상 촬영 및 저장을 통하여 출입을 확인하는 등의 단순 목적으로 이용되어 왔다. 산업현장에서는 화재, 폭발, 유독가스 누출, 고온, 연기발생 등의 다양한 사고가 발생할 수 있다. 산업현장에서 이상여부를 검출하고 사고 발생 전에 미리 대처할 수 있기 위하여 산업현장에서 이상여부를 감지하기 위한 기술이 요구된다. On the other hand, conventional surveillance camera systems (CCTV) used in industrial sites have been used for simple purposes such as checking access through video recording and storage. Various accidents such as fire, explosion, leakage of toxic gas, high temperature, and smoke may occur in industrial sites. In order to be able to detect abnormalities in industrial sites and deal with them in advance before accidents occur, technology for detecting abnormalities in industrial sites is required.
[선행기술문헌][Prior art literature]
[특허문헌][Patent Literature]
(특허문헌 1) KR 10-2015-0050752 A (Patent Document 1) KR 10-2015-0050752 A
본 발명의 일실시예에 따른 목적은, 산업현장을 촬영하는 카메라로부터 수신한 열화상을 분석하여 정상범위를 벗어나는 온도가 측정되는 경우 이상 이벤트가 발생한 것으로 판단하는 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템 및 이의 동작 방법을 제공한다. An object according to an embodiment of the present invention is a thermal imaging camera that analyzes a thermal image received from a camera photographing an industrial site and determines that an abnormal event has occurred when a temperature outside the normal range is measured. It provides a system and its operation method for detecting and expressing and alerting by generating an alarm.
본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템은, 산업현장을 촬영하여 열화상을 생성하는 카메라모듈, 및 상기 카메라모듈로부터 수신한 상기 열화상을 분석하여 설비에 이상 온도가 존재하는지 판단하는 서버를 포함할 수 있다.According to an embodiment of the present invention, a system for detecting and expressing an abnormal temperature at an industrial site and generating an alarm using a thermal imaging camera includes a camera module for generating a thermal image by photographing an industrial site, and a thermal image received from the camera module. It may include a server that analyzes the thermal image and determines whether an abnormal temperature exists in the facility.
또한, 상기 서버는 상기 카메라모듈로부터 수신한 광학영상 및 열화상을 저장하는 저장부, 상기 열화상을 분석하여 정상온도를 벗어난 온도가 감지되는지 판단하고, 정상온도를 벗어난 온도가 감지되는 경우 설비이상 이벤트의 발생을 출력하는 설비이상 판단부, 및 상기 설비이상 판단부에서 설비이상 이벤트의 발생을 출력하는 경우, 이상 이벤트의 발생을 관리자에게 알리는 알림부를 포함할 수 있다.In addition, the server analyzes the storage unit for storing the optical image and the thermal image received from the camera module, determines whether a temperature outside the normal temperature is detected, and if a temperature outside the normal temperature is detected, a facility abnormality is detected. A facility abnormality determination unit outputting the occurrence of an event, and a notification unit notifying a manager of the occurrence of the abnormal event when the equipment abnormality determination unit outputs the occurrence of the equipment abnormality event.
또한, 상기 설비이상 판단부는 상기 열화상의 프레임에서 픽셀별로 그레이 스케일 값을 추출하여 그레이 스케일 매트릭스를 생성하고, 그레이 스케일 값의 최저값과 최대값에 매칭된 상기 열화상카메라의 최저 온도와 최고 온도를 이용하여 그레이 스케일 값을 온도로 변환하고, 픽셀의 온도를 정상온도와 비교하여 기준편차 이상의 차이가 존재하는 경우 설비이상 이벤트를 출력할 수 있다.In addition, the equipment abnormality determination unit extracts gray scale values for each pixel from the frame of the thermal image to create a gray scale matrix, and uses the minimum and maximum temperatures of the thermal imaging camera matched to the minimum and maximum values of the gray scale values. Then, the gray scale value is converted into temperature, and the temperature of the pixel is compared with the normal temperature. If there is a difference greater than the standard deviation, a facility failure event can be output.
또한, 상기 정상온도는 픽셀별로 정상상태 적응기간동안 수집한 온도의 평균으로 정해질 수 있다.In addition, the normal temperature may be determined as an average of temperatures collected during the steady-state adaptation period for each pixel.
또한, 상기 설비이상 판단부는 상기 정상온도를 벗어난 것으로 판단된 픽셀의 온도가 체온의 범위에 해당하는 경우, 설비이상 이벤트를 출력하지 않을 수 있다.In addition, the facility abnormality determination unit may not output an equipment abnormality event when the temperature of the pixel determined to be out of the normal temperature corresponds to the body temperature range.
또한, 상기 설비이상 판단부는 상기 설비의 가동상태에 따라 상기 정상온도를 다르게 적용할 수 있다.In addition, the facility abnormality determination unit may apply the normal temperature differently according to the operating state of the facility.
또한, 상기 설비이상 판단부는 상기 프레임을 하나 이상의 구역으로 분할하고, 상기 구역마다 기준편차, 고온 한계값, 저온 한계값, 정상온도, 판단 기준시간, 정상상태 적응기간을 다르게 설정할 수 있다.In addition, the facility abnormality determination unit may divide the frame into one or more zones, and set a standard deviation, a high temperature limit value, a low temperature limit value, a normal temperature, a judgment reference time, and a steady state adaptation period differently for each of the zones.
또한, 상기 알림부는 상기 열화상의 프레임에서 상기 정상온도를 벗어난 것으로 판단된 픽셀의 색상을 제1 색상으로 표시한 이미지와, 상기 열화상의 프레임과 동일한 방향을 촬영한 광학영상 이미지를 광학영상으로부터 추출하여 함께 관리자에게 제공할 수 있다.In addition, the notification unit extracts an image in which the color of a pixel determined to be out of the normal temperature in the frame of the thermal image is displayed as a first color and an optical image image taken in the same direction as the frame of the thermal image from the optical image can be provided to the manager.
본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템의 동작방법은, 카메라모듈이 산업현장을 촬영하여 열화상을 생성하고 서버로 전송하는 영상 생성 단계, 상기 서버의 설비이상 판단부가 상기 열화상에서 인식한 온도가 정상온도를 벗어나는 경우 설비이상 이벤트가 발생한 것으로 판단하는 설비이상 판단단계, 및 상기 설비이상 판단부에서 설비이상 이벤트의 발생을 출력하는 경우, 상기 서버의 알림부가 이상 이벤트의 발생을 관리자에게 알리는 알림단계를 포함할 수 있다. According to an embodiment of the present invention, a method of operating a system for detecting and expressing an abnormal temperature at an industrial site and generating an alarm with a thermal imaging camera, the camera module photographs the industrial site, generates a thermal image, and transmits the thermal image to a server. An image generation step, a facility abnormality determination step in which the equipment abnormality determination unit of the server determines that a facility abnormality event has occurred when the temperature recognized in the thermal image is out of the normal temperature, and the equipment abnormality determination unit outputs the occurrence of the equipment abnormality event In this case, the notification unit of the server may include a notification step of notifying an administrator of the occurrence of an abnormal event.
또한, 상기 설비이상 판단단계는 열화상의 프레임의 픽셀별 그레이스케일 값을 현재온도로 변환하는 온도산출 단계, 및 정상 상태에서 누적된 온도의 평균으로 산출되는 정상온도와 현재온도의 편차를 계산하고 계산된 편차가 기준편차보다 크면 이상 온도가 존재하는 것으로 판단하는 편차 판단단계를 포함할 수 있다. In addition, the equipment abnormality determination step includes a temperature calculation step of converting the gray scale value of each pixel of the thermal image frame into the current temperature, and calculating and calculating the deviation between the normal temperature and the current temperature, which is calculated as an average of accumulated temperatures in a normal state. A deviation determination step of determining that an abnormal temperature exists when the measured deviation is greater than the standard deviation may be included.
또한, 상기 설비이상 판단단계는 상기 온도산출 단계 이후에, 현재온도가 체온 범위 내에 포함되는 경우 이상 온도가 발생하지 않은 것으로 판단하는 체온 판단단계를 더 포함할 수 있다. In addition, the facility abnormality determination step may further include a body temperature determination step of determining that an abnormal temperature has not occurred when the current temperature is within the body temperature range after the temperature calculation step.
또한, 상기 설비이상 판단단계는 상기 온도산출 단계 이후에, 현재온도가 저온 한계값과 고온 한계값 사이에 포함되지 않는 경우 이상 온도가 존재하는 것으로 판단하는 한계 판단단계를 더 포함할 수 있다. In addition, the facility abnormality determination step may further include a limit determination step of determining that an abnormal temperature exists when the current temperature is not included between the low temperature limit value and the high temperature limit value after the temperature calculation step.
또한, 상기 설비이상 판단단계는 상기 온도산출 단계 이후에, 현재시간이 정상상태 적응기간 이전인 경우 현재온도를 정상온도로서 저장부에 누적하여 저장하고, 누적된 정상온도를 평균하여 정상온도를 산출하는 정상온도 생성단계를 더 포함할 수 있다. In addition, in the facility abnormality determination step, after the temperature calculation step, if the current time is before the steady state adaptation period, the current temperature is accumulated and stored as a normal temperature in the storage unit, and the normal temperature is calculated by averaging the accumulated normal temperatures. A normal temperature generating step may be further included.
또한, 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템의 동작방법은, 상기 영상 생성 단계 이전에 수행되며, 프레임의 구역, 기준편차, 고온 한계값, 저온 한계값, 정상온도, 판단 기준시간, 정상상태 적응기간 중에서 하나 이상을 설정하는 변수 설정단계를 더 포함할 수 있다. In addition, the operating method of the system for detecting and expressing an abnormal temperature in an industrial field and generating an alarm using a thermal imaging camera according to an embodiment of the present invention is performed before the image generation step, and the region of the frame and the standard deviation , a high temperature limit value, a low temperature limit value, a normal temperature, a judgment standard time, and a variable setting step of setting one or more of the steady state adaptation period.
또한, 상기 편차 판단단계 이후에, 타이머를 이용하여 이상 온도가 존재하는 프레임 또는 시간을 카운팅하고, 타이머의 누적값이 판단 기준시간에 도달하는 경우 설비이상 이벤트가 발생한 것으로 판단하는 이벤트 판단단계를 더 포함할 수 있다. In addition, after the deviation determination step, an event determination step of counting frames or times in which the abnormal temperature exists using a timer and determining that an equipment abnormality event has occurred when the cumulative value of the timer reaches the determination reference time is further performed. can include
또한, 상기 알림단계는 전자메일을 통해 설비이상 이벤트를 전달하며, 이상 온도가 발생한 구역에 대한 정보를 전자메일 본문에 포함하고, 열화상의 프레임 이미지에 이상 온도가 발생한 픽셀을 표시한 이미지를 포함할 수 있다. In addition, the notification step transmits a facility abnormality event through e-mail, includes information on the area where the abnormal temperature occurs in the body of the e-mail, and includes an image displaying pixels where the abnormal temperature occurs in the frame image of the thermal image. can
본 발명의 특징 및 이점들은 첨부도면에 의거한 다음의 상세한 설명으로 더욱 명백해질 것이다.Features and advantages of the present invention will become more apparent from the following detailed description taken in conjunction with the accompanying drawings.
이에 앞서 본 명세서 및 청구범위에 사용된 용어나 단어는 통상적이고 사전적인 의미로 해석되어서는 아니 되며, 발명자가 그 자신의 발명을 가장 최선의 방법으로 설명하기 위해 용어의 개념을 적절하게 정의할 수 있다는 원칙에 입각하여 본 발명의 기술적 사상에 부합되는 의미와 개념으로 해석되어야만 한다.Prior to this, the terms or words used in this specification and claims should not be interpreted in a conventional and dictionary sense, and the inventor may appropriately define the concept of the term in order to explain his or her invention in the best way. It should be interpreted as a meaning and concept consistent with the technical idea of the present invention based on the principle that there is.
본 발명의 일실시예에 따르면, 산업현장에서 정상범위를 벗어나는 온도가 측정된 경우 이상 이벤트가 발생한 것으로 판단하고, 관리자에게 이상 이벤트 발생을 자동으로 통보하여, 신속하게 사고를 예방하거나 사고에 대응하도록 지원할 수 있다.According to one embodiment of the present invention, when a temperature outside the normal range is measured at an industrial site, it is determined that an abnormal event has occurred, and the occurrence of the abnormal event is automatically notified to a manager so as to quickly prevent or respond to accidents. can support
도 1은 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템과 산업현장을 나타내는 도면이다. 1 is a diagram illustrating an industrial site and a system for detecting and expressing an abnormal temperature in an industrial site and generating an alarm using a thermal imaging camera according to an embodiment of the present invention.
도 2는 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템을 나타내는 블록도이다. FIG. 2 is a block diagram illustrating a system for detecting and expressing an abnormal temperature in an industrial site using a thermal imaging camera according to an embodiment of the present invention and generating an alarm to notify the user.
도 3a는 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템의 동작방법을 나타내는 흐름도이다. 3A is a flowchart illustrating an operation method of a system that detects and expresses an abnormal temperature in an industrial site using a thermal imaging camera according to an embodiment of the present invention and generates and informs an alarm.
도 3b는 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템의 동작방법의 설비이상 판단단계를 구체적으로 나타내는 흐름도이다. FIG. 3B is a flowchart specifically illustrating a facility abnormality determination step of an operation method of a system for detecting and expressing an abnormal temperature in an industrial site and generating an alarm to notify an abnormal temperature using a thermal imaging camera according to an embodiment of the present invention.
도 4는 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템이 온도를 인식하는 과정을 설명하는 도면이다.FIG. 4 is a diagram illustrating a process of recognizing a temperature by a system that detects and expresses an abnormal temperature in an industrial site using a thermal imaging camera according to an embodiment of the present invention and issues an alarm.
도 5는 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템이 정상온도를 인식하는 과정을 설명하는 도면이다.5 is a diagram illustrating a process of recognizing a normal temperature by a system that detects and expresses an abnormal temperature in an industrial site using a thermal imaging camera according to an embodiment of the present invention and issues an alarm.
도 6은 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템이 정상온도와 현재 온도를 비교하는 과정을 설명하는 도면이다. 6 is a diagram illustrating a process of comparing a normal temperature and a current temperature in a system for detecting and expressing an abnormal temperature at an industrial site and generating an alarm using a thermal imaging camera according to an embodiment of the present invention.
도 7은 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템이 이상 온도가 발생한 영역을 표시하여 생성한 알람을 나타내는 도면이다. 7 is a view showing an alarm generated by a system for detecting and expressing an abnormal temperature in an industrial site and generating an alarm using a thermal imaging camera according to an embodiment of the present invention and displaying an area where an abnormal temperature occurs.
도 8은 알림부가 관리자에게 제공하는 이상 온도가 발생한 열화상 프레임과 광학 프레임을 나타내는 도면이다. 8 is a diagram illustrating a thermal image frame and an optical frame in which an abnormal temperature is generated, provided to a manager by a notification unit.
도 9는 알림부가 이용하는 메일의 구조를 나타내는 도면이다. 9 is a diagram showing the structure of mail used by the notification unit.
본 발명의 일실시예의 목적, 특정한 장점들 및 신규한 특징들은 첨부된 도면들과 연관되어지는 이하의 상세한 설명과 바람직한 실시예들로부터 더욱 명백해질 것이다. 본 명세서에서 각 도면의 구성요소들에 참조번호를 부가함에 있어서, 동일한 구성 요소들에 한해서는 비록 다른 도면상에 표시되더라도 가능한 한 동일한 번호를 가지도록 하고 있음에 유의하여야 한다. 또한, "일면", "타면", "제1", "제2" 등의 용어는 하나의 구성요소를 다른 구성요소로부터 구별하기 위해 사용되는 것으로, 구성요소가 상기 용어들에 의해 제한되는 것은 아니다. 이하, 본 발명의 일실시예를 설명함에 있어서, 본 발명의 일실시예의 요지를 불필요하게 흐릴 수 있는 관련된 공지 기술에 대한 상세한 설명은 생략한다. Objects, specific advantages and novel features of an embodiment of the present invention will become more apparent from the following detailed description and preferred embodiments taken in conjunction with the accompanying drawings. In adding reference numerals to components of each drawing in this specification, it should be noted that the same components have the same numbers as much as possible, even if they are displayed on different drawings. In addition, terms such as "one side", "other side", "first", and "second" are used to distinguish one component from another, and the components are not limited by the above terms. no. Hereinafter, in describing an embodiment of the present invention, a detailed description of related known technologies that may unnecessarily obscure the subject matter of an embodiment of the present invention will be omitted.
또한, 본 발명에서 사용한 용어는 단지 특정한 실시예를 설명하기 위해 사용된 것으로, 본 발명을 한정하려는 의도가 아니며, 단수의 표현은 문맥상 달리 명시하지 않는 한 복수의 표현을 포함한다는 것을 알아야 한다.In addition, it should be noted that the terms used in the present invention are only used to describe specific embodiments and are not intended to limit the present invention, and singular expressions include plural expressions unless otherwise specified in context.
이하, 첨부된 도면을 참조하여, 본 발명의 일실시예를 상세히 설명한다.Hereinafter, with reference to the accompanying drawings, an embodiment of the present invention will be described in detail.
도 1은 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템(10)과 산업현장(1)을 나타내는 도면이다. 1 is a diagram showing a system 10 and an industrial site 1 that detects and expresses an abnormal temperature in an industrial site using a thermal imaging camera according to an embodiment of the present invention and issues an alarm.
산업현장(1)은 공장, 연구소, 실험실, 화학플랜트, 정유플랜트, 자동화시설, 스마트팩토리 등의 다양한 실내 시설 뿐만 아니라, 항구, 항만, 물류허브, 하역장 등의 야외 시설들을 포함할 수 있다. 산업현장(1)에는 모터, 히터, 냉방기, 파이프, 증류기, 등 다양한 설비(2)들이 설치될 수 있다. 산업현장(1)에는 설비(2)를 이용하여 일하는 작업자, 관리자, 또는 방문자 등 다양한 사람(3)이 있을 수 있다. 산업현장(1)에서 발생하는 사고는 사람(3)을 다치게 하거나, 설비(2)를 파손시킬 수 있다. 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템(10)은 산업현장(1)에서 발생할 수 있는 사고를 미리 방지하거나, 사고가 발생한 경우 빠르게 대처하기 위하여, 설비(2)에 발생하는 이상 이벤트를 감지하고 관리자에게 이상 이벤트의 발생을 알릴 수 있다. 관리자는 산업현장(1)의 안전책임자, 작업자 등을 포함할 수 있고, 소방서, 구급대, 구청 등의 공무원 등을 포함할 수 있다. The industrial site (1) may include various indoor facilities such as factories, research institutes, laboratories, chemical plants, oil refineries, automation facilities, and smart factories, as well as outdoor facilities such as ports, ports, logistics hubs, and loading docks. In the industrial site (1), various facilities (2) such as motors, heaters, air conditioners, pipes, distillers, etc. may be installed. In the industrial site (1), there may be various people (3) such as workers, managers, or visitors who work using the facility (2). An accident that occurs at an industrial site (1) may injure a person (3) or damage a facility (2). A system 10 that detects and expresses an abnormal temperature at an industrial site using a thermal imaging camera according to an embodiment of the present invention and generates an alarm to notify the user of an accident that may occur at the industrial site 1 in advance, or when an accident occurs In order to quickly cope with the situation, an abnormal event occurring in the facility 2 may be detected and the occurrence of the abnormal event may be notified to a manager. The manager may include a safety manager, a worker, and the like of the industrial site (1), and may include public officials such as a fire station, an ambulance, and a district office.
이상 이벤트는 설비이상 이벤트를 포함할 수 있다. 이상 이벤트는 유독가스 유출이나, 감전 등의 사고에 의해 사람(3)이 쓰러지거나, 심장마비, 뇌졸증 등의 질병에 의해 사람(3)이 쓰러져, 사람(3)이 바닥에 누워있는 경우를 포함할 수도 있다. 설비이상 이벤트는 산업현장(1) 내에서 정상온도를 벗어난 온도가 감지되는 것을 포함할 수 있다. 예를 들어, 모터나 펌프의 과열로 인한 온도 상승, 화재로 인한 온도 상승, 냉각수의 유출로 인한 온도 하강 등의 이상 온도가 발생하는 경우 설비이상 이벤트가 발생한 것이다. 이상 온도는 정상온도를 벗어난 온도이며, 정상온도보다 높은 온도 또는 정상온도보다 낮은 온도를 포함할 수 있다. The abnormal event may include a facility abnormal event. Abnormal events include cases in which the person (3) falls due to accidents such as leakage of toxic gas or electric shock, or the person (3) falls down due to a disease such as heart attack or stroke, and the person (3) lies on the floor. You may. The facility abnormality event may include the detection of a temperature outside of the normal temperature within the industrial site 1 . For example, when an abnormal temperature occurs, such as a rise in temperature due to overheating of a motor or a pump, a rise in temperature due to a fire, or a drop in temperature due to leakage of cooling water, a facility abnormality event has occurred. The ideal temperature is a temperature out of the normal temperature, and may include a temperature higher than the normal temperature or a temperature lower than the normal temperature.
도 2는 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템(10)을 나타내는 블록도이다. 도 1 및 도 2를 함께 참조한다. 2 is a block diagram showing a system 10 that detects and expresses an abnormal temperature at an industrial site using a thermal imaging camera according to an embodiment of the present invention and generates and informs an alarm. See Figures 1 and 2 together.
본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템(10)은, 산업현장(1)을 촬영하여 열화상을 생성하는 카메라모듈(100), 및 카메라모듈(100)로부터 수신한 열화상을 분석하여 설비(2)에 이상 온도가 존재하는지 판단하는 서버(200)를 포함할 수 있다. A system 10 for detecting and expressing an abnormal temperature in an industrial site and generating an alarm with a thermal imaging camera according to an embodiment of the present invention, a camera module 100 for generating a thermal image by photographing an industrial site 1 ), and a server 200 that analyzes the thermal image received from the camera module 100 to determine whether an abnormal temperature exists in the facility 2.
카메라모듈(100)은 설비(2) 또는 사람(3)이 존재하는 공간을 촬영하도록 산업현장(1)에 배치될 수 있다. 카메라모듈(100)은 산업현장(1)에 복수개 배치될 수 있다. 카메라모듈(100)은 서버(200)로부터 수신하는 제어신호에 따라 촬영 방향을 변경할 수 있다. 카메라모듈(100)은 하나 이상의 열화상카메라(120)를 포함할 수 있다. 카메라모듈(100)은 하나의 모듈에 광학카메라(110) 및 열화상카메라(120)를 함께 포함할 수 있다. The camera module 100 may be disposed in the industrial site 1 to photograph a space where facilities 2 or people 3 exist. A plurality of camera modules 100 may be disposed in the industrial site 1 . The camera module 100 may change a photographing direction according to a control signal received from the server 200 . The camera module 100 may include one or more thermal imaging cameras 120 . The camera module 100 may include an optical camera 110 and a thermal imaging camera 120 together in one module.
광학카메라(110)는 RGB 방식의 일반적인 디지털 카메라를 포함할 수 있다. 광학카메라(110)는 가시광선 영역에서 산업현장(1)을 촬영하여 사람(3)의 눈으로 인식가능한 광학영상을 생성할 수 있다. 열화상카메라(Infrared Camera, IR Camera, 120)는 적외선 영역을 촬영하는 디지털 카메라를 포함할 수 있다. 열화상카메라(120)는 적외선 영역에서 산업현장(1)을 촬영하여, 그레이스케일(GrayScale)의 열화상을 생성할 수 있다. The optical camera 110 may include a general digital camera of the RGB method. The optical camera 110 may generate an optical image recognizable by the eyes of a person 3 by photographing the industrial site 1 in the visible ray region. The infrared camera (IR camera) 120 may include a digital camera that captures an infrared region. The thermal imaging camera 120 may capture the industrial site 1 in the infrared region and generate a grayscale thermal image.
서버(200)는 산업현장(1)에 설치될 수 있다. 서버(200)는 카메라모듈(100)과 유선 또는 무선 네트워크를 통해 연결되어, 카메라모듈(100)이 생성한 영상을 수신할 수 있고, 카메라모듈(100)을 제어할 수 있다. 서버(200)는 정보처리기능을 갖는 컴퓨터 장치이다. 카메라모듈(100)과 서버(200)는 폐쇄회로(Closed Circuit)로 연결되거나, IP 주소를 이용한 암호화된 네트워크 등을 이용하여 연결될 수 있다. Server 200 may be installed in the industrial site (1). The server 200 may be connected to the camera module 100 through a wired or wireless network, receive an image generated by the camera module 100, and control the camera module 100. The server 200 is a computer device having an information processing function. The camera module 100 and the server 200 may be connected through a closed circuit or through an encrypted network using an IP address.
서버(200)는 카메라모듈(100)로부터 수신한 광학영상 및 열화상을 저장하는 저장부(210), 열화상을 분석하여 정상온도를 벗어난 온도가 감지되는지 판단하고, 정상온도를 벗어난 온도가 감지되는 경우 설비이상 이벤트의 발생을 출력하는 설비이상 판단부(240), 설비이상 판단부(240)에서 설비이상 이벤트의 발생을 출력하는 경우, 이상 이벤트의 발생을 관리자에게 알리는 알림부(250)를 포함할 수 있다. 서버(200)는 유선 또는 무선 네트워크와 연결되어 데이터를 송수신하는 통신부(220), 관리자의 명령을 입력받거나 데이터나 정보를 관리자에게 제공하는 인터페이스부(230)를 더 포함할 수 있다. The server 200 analyzes the storage unit 210 for storing the optical image and thermal image received from the camera module 100, the thermal image, determines whether a temperature outside the normal temperature is detected, and detects a temperature outside the normal temperature. If the equipment failure event occurs, the equipment failure determination unit 240 outputs the occurrence of the equipment failure event, and when the equipment failure determination unit 240 outputs the occurrence of the equipment failure event, the notification unit 250 notifies the manager of the occurrence of the abnormal event. can include The server 200 may further include a communication unit 220 connected to a wired or wireless network to transmit and receive data, and an interface unit 230 to receive a manager's command or provide data or information to the manager.
저장부(210)는 광학영상, 열화상, 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템(10)의 동작방법이 소프트웨어로 구현된 프로그램 코드, 그 밖에 필요한 데이터를 저장할 수 있다. 저장부(210)는 하드디스크, 메모리, 클라우드 저장장치, 데이터베이스 등을 포함할 수 있다. The storage unit 210 detects and expresses an abnormal temperature in an industrial field using an optical image, a thermal image, or a thermal image camera according to an embodiment of the present invention, and generates an alarm to inform the operating method of the system 10 implemented in software. stored program code and other necessary data. The storage unit 210 may include a hard disk, a memory, a cloud storage device, a database, and the like.
통신부(220)는 카메라모듈(100), 관리자 단말(300), 서버(200) 사이에서 데이터를 송수신할 수 있도록, 유선 또는 무선 네트워크에 연결될 수 있다. 통신부(220)는 월드와이드웹(www), 이더넷(ethernet), IPv4, IPv6, LAN, WAN, 등의 알려진 통신방식을 이용할 수 있다. 통신부(220)는 wi-fi, bluetooth, zigbee, 등의 알려진 근거리 통신방식을 이용할 수도 있다.The communication unit 220 may be connected to a wired or wireless network to transmit and receive data between the camera module 100 , the manager terminal 300 , and the server 200 . The communication unit 220 may use known communication methods such as the World Wide Web (www), Ethernet, IPv4, IPv6, LAN, and WAN. The communication unit 220 may use a known short-range communication method such as wi-fi, bluetooth, zigbee, or the like.
인터페이스부(230)는 관리자의 명령을 수신할 수 있는 키보드, 마우스, 터치패널, 스위치 등의 입력장치를 포함할 수 있고, 관리자에게 정보를 제공할 수 있는 디스플레이, 스피커, 프린터 등의 출력장치를 포함할 수 있다. The interface unit 230 may include input devices such as a keyboard, mouse, touch panel, and switch capable of receiving commands from a manager, and output devices such as a display, speaker, and printer capable of providing information to the manager. can include
설비이상 판단부(240), 알림부(250)는 프로그램 코드로 작성되어 서버(200)의 프로세서(Processor) 또는 그래픽처리장치(GPU)에서 구동되는 방식으로 구현될 수도 있고, 서버(200) 내에 포함되는 독립된 컴퓨터 장치로 구현될 수도 있다. The facility abnormality determining unit 240 and the notifying unit 250 may be written in program codes and implemented in a manner that runs on the processor or graphics processing unit (GPU) of the server 200, or may be implemented within the server 200. It may be implemented as an independent computer device included.
설비이상 판단부(240)는 정상온도를 기준으로 산업현장(1)을 촬영한 열화상에 이상 온도가 촬영되었는지 여부를 판단한다. 열화상에 정상온도보다 높거나 낮은 이상 온도가 존재한다는 것은 설비(2)에 문제가 존재한다는 의미이다. 예를 들어, 설비(2)의 온도가 정상온도보다 상승하거나 하강하는 것은 사고 발생 가능성이 있음을 나타낸다. 설비(2)에 사고가 발생하여 화재 또는 누출이 발생하는 경우 설비(2) 이외의 영역에서 온도 변화가 발생할 수 있으며, 이는 사고 발생을 의미할 수 있다. 설비이상 판단부(240)는 이상 온도가 존재하는 픽셀에 관한 정보를 설비이상 이벤트와 함께 출력할 수 있다. The equipment abnormality determining unit 240 determines whether an abnormal temperature is captured in the thermal image of the industrial site 1 based on the normal temperature. The presence of an abnormal temperature higher or lower than the normal temperature in the thermal image means that there is a problem in the facility (2). For example, if the temperature of the facility 2 rises or falls below the normal temperature, it indicates that there is a possibility of an accident. If a fire or leak occurs due to an accident in the facility 2, a temperature change may occur in an area other than the facility 2, which may indicate the occurrence of an accident. The facility abnormality determination unit 240 may output information about a pixel having an abnormal temperature along with a facility abnormality event.
알림부(250)는 설비이상 판단부(240)에서 설비이상 이벤트의 발생을 출력하면, 관리자에게 이상 이벤트의 발생을 알리고, 이상 이벤트의 내용을 알릴 수 있다. 이상 이벤트의 내용은 이상 이벤트를 촬영한 카메라모듈(100)의 위치, 이상 이벤트 발생 시간, 이상 이벤트가 발생한 것으로 판단된 광학영상 또는 열화상의 프레임, 이상 이벤트에 대응하기 위한 가이드라인, 그 밖에 필요한 정보를 포함할 수 있다. 알림부(250)는 전화, 문자메세지, 이메일 등을 관리자 단말(300)로 자동으로 전송하거나, 디스플레이에 이상 이벤트의 발생을 표시하거나, 스피커를 통해 이상 이벤트의 발생을 소리로 알릴 수 있다. When the facility abnormality determining unit 240 outputs the occurrence of a facility abnormality event, the notification unit 250 notifies the manager of the occurrence of the abnormal event and informs the contents of the abnormal event. The contents of the abnormal event include the location of the camera module 100 that captured the abnormal event, the occurrence time of the abnormal event, the frame of the optical image or thermal image in which the abnormal event occurred, guidelines for responding to the abnormal event, and other necessary information. can include The notification unit 250 may automatically transmit a phone call, text message, e-mail, etc. to the administrator terminal 300, display the occurrence of an abnormal event on a display, or notify the occurrence of an abnormal event through a speaker.
알림부(250)는 설비이상 이벤트가 발생하면 이상 온도가 존재하는 픽셀의 정보에 기초하여, 이상 온도가 감지된 열화상의 프레임에 이상 온도가 존재하는 픽셀을 표시한 이미지를 관리자에게 제공할 수 있다. 예를 들어, 알림부(250)는 이상 온도가 감지된 부분을 하이라이트 또는 화살표로 표시한 이미지를 포함하는 메일을 자동으로 생성하고 관리자의 메일주소로 송신할 수 있다. When a facility abnormality event occurs, the notification unit 250 may provide a manager with an image displaying a pixel having an abnormal temperature in a frame of a thermal image in which an abnormal temperature is detected based on information on a pixel having an abnormal temperature. . For example, the notification unit 250 may automatically generate an e-mail including an image in which an abnormal temperature is detected as a highlight or an arrow, and send the e-mail to the administrator's e-mail address.
도 3a는 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템의 동작방법을 나타내는 흐름도이다. 도 2 및 도 3a를 함께 참조한다. 3A is a flowchart illustrating an operation method of a system that detects and expresses an abnormal temperature in an industrial site using a thermal imaging camera according to an embodiment of the present invention and generates and informs an alarm. See FIGS. 2 and 3A together.
본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템(10)의 동작방법은, 카메라모듈(100)의 광학카메라(110)가 산업현장(1)을 촬영하여 광학영상을 생성하고 서버(200)로 전송하며, 카메라모듈(100)의 열화상카메라(120)가 산업현장(1)을 촬영하여 열화상을 생성하고 상기 서버(200)로 전송하는 영상 생성 단계(S21), 서버(200)의 설비이상 판단부(240)가 열화상에서 인식한 온도가 정상온도를 벗어나는 경우 설비이상 이벤트가 발생한 것으로 판단하는 설비이상 판단단계(S22), 및 설비이상 판단부(240)에서 설비이상 이벤트의 발생을 출력하는 경우, 서버(200)의 알림부(250)가 이상 이벤트의 발생을 관리자에게 알리는 알림단계(S23)를 포함할 수 있다. According to an embodiment of the present invention, an operating method of a system 10 that detects and expresses an abnormal temperature in an industrial site and generates and informs an alarm with a thermal imaging camera, the optical camera 110 of the camera module 100 (1) is photographed to generate an optical image and transmitted to the server 200, and the thermal image camera 120 of the camera module 100 photographs the industrial site 1 to generate a thermal image and the server 200 image generation step (S21), equipment abnormality determination step (S22) of determining that a facility abnormality event has occurred when the temperature recognized from the thermal image by the equipment abnormality determination unit 240 of the server 200 is out of the normal temperature; and a notification step ( S23 ) in which the notification unit 250 of the server 200 notifies the manager of the occurrence of the abnormal event when the facility abnormality determination unit 240 outputs the occurrence of the facility abnormality event.
영상 생성 단계(S21), 설비이상 판단단계(S22)는 감시단계(S20)에 포함될 수 있다. 감시단계(S20)는 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템(10)의 동작방법이 수행되는 동안 실시간으로 반복 수행된다. 설비이상 판단단계(S22)는 설비이상 판단부(240)에서 수행될 수 있다. 알림부(250)는 설비이상 판단부(240)에서 이상 이벤트를 출력하는 경우 알림단계(S23)를 수행한다. The image generation step (S21) and facility abnormality determination step (S22) may be included in the monitoring step (S20). The monitoring step (S20) is repeatedly performed in real time while the operating method of the system 10, which detects and expresses the abnormal temperature of the industrial site and generates and informs an alarm with the thermal imaging camera according to an embodiment of the present invention, is performed. The equipment abnormality determination step (S22) may be performed by the equipment abnormality determination unit 240. The notification unit 250 performs a notification step (S23) when an abnormal event is output from the equipment abnormality determination unit 240.
열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템의 동작방법은, 상기 영상 생성 단계 이전에 수행되며, 프레임의 구역, 기준편차, 고온 한계값, 저온 한계값, 정상온도, 판단 기준시간, 정상상태 적응기간 중에서 하나 이상을 설정하는 변수 설정단계(S10)를 더 포함할 수 있다. The operation method of the system that detects and expresses the abnormal temperature of the industrial site with a thermal imaging camera and generates an alarm to inform the operation method is performed before the image generation step, and the area of the frame, standard deviation, high temperature limit value, low temperature limit value, normal A variable setting step (S10) of setting one or more of the temperature, the judgment reference time, and the steady state adaptation period may be further included.
변수 설정단계(S10)는 감시단계(S20)가 수행되기 전에 설비이상 판단부(240)에서 수행될 수 있다. 변수 설정단계(S10)는 관리자의 입력 또는 정해진 알고리즘에 따라 수행될 수 있다. 변수 설정단계(S10)는 관리자의 명령에 따라 임의의 순간에 수행될 수도 있다. The variable setting step (S10) may be performed by the facility abnormality determination unit 240 before the monitoring step (S20) is performed. The variable setting step (S10) may be performed according to a manager's input or a predetermined algorithm. The variable setting step (S10) may be performed at any moment according to the manager's command.
도 3b는 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템의 동작방법의 설비이상 판단단계(S22)를 구체적으로 나타내는 흐름도이다. FIG. 3B is a flowchart specifically illustrating a facility abnormality determination step (S22) of a method of operating a system for detecting and expressing an abnormal temperature at an industrial site and generating an alarm to notify an abnormal temperature using a thermal imaging camera according to an embodiment of the present invention.
도 3에 도시된 바와 같이, 설비이상 판단단계(S22)는 열화상의 프레임의 픽셀별 그레이스케일 값을 현재온도로 변환하는 온도산출 단계(S110)를 포함할 수 있다. 그리고, 설비이상 판단단계(S22)는 온도산출 단계(S110) 이후에, 현재시간이 정상상태 적응기간 이전인 경우 현재온도를 정상온도로서 저장부(210)에 누적하여 저장하고, 누적된 정상온도를 평균하여 정상온도를 산출하는 정상온도 생성단계(S120), 현재온도가 체온 범위 내에 포함되는 경우 이상 온도가 발생하지 않은 것으로 판단하는 체온 판단단계(S130), 현재온도가 저온 한계값과 고온 한계값 사이에 포함되지 않는 경우 이상 온도가 존재하는 것으로 판단하는 한계 판단단계(S140), 정상 상태에서 누적된 온도의 평균으로 산출되는 정상온도와 현재온도의 편차를 계산하고 계산된 편차가 기준편차보다 크면 이상 온도가 존재하는 것으로 판단하는 편차 판단단계(S150), 타이머를 이용하여 이상 온도가 존재하는 프레임 또는 시간을 카운팅하고, 타이머의 카운터 누적값이 판단 기준시간에 도달하는 경우 설비이상 이벤트가 발생한 것으로 판단하는 이벤트 판단단계 중에서 적어도 하나 이상을 포함할 수 있다. As shown in FIG. 3 , the facility abnormality determination step ( S22 ) may include a temperature calculation step ( S110 ) of converting a gray scale value for each pixel of a thermal image frame into a current temperature. Then, in the equipment abnormality determination step (S22), after the temperature calculation step (S110), if the current time is before the steady state adaptation period, the current temperature is accumulated and stored in the storage unit 210 as the normal temperature, and the accumulated normal temperature A normal temperature generation step (S120) of calculating a normal temperature by averaging, a body temperature determination step (S130) of determining that no abnormal temperature has occurred if the current temperature is within the body temperature range, and the current temperature is a low temperature limit value and a high temperature limit A limit judgment step (S140) of determining that an abnormal temperature exists if it is not included between the values. Deviation determination step (S150) of determining that an abnormal temperature exists if it is large, counting frames or times in which an abnormal temperature exists using a timer, and when the accumulated value of the counter of the timer reaches the determination reference time, a facility abnormality event occurs It may include at least one or more of the event judgment steps that are determined to be.
온도산출 단계(S110)이후에, 정상온도 생성단계(S120)를 수행하여 설비(2)의 정상 상태에서의 온도를 인식하고, 체온 판단단계(S130), 한계 판단단계(S140), 편차 판단단계(S150)을 순서대로 수행하여 이상 온도가 존재하는지 판단할 수 있다. 이상 온도 존재로 판단되는 경우(S160), 이벤트 판단단계(S170)를 수행하여, 판단 기준시간보다 오래 이상 온도가 유지된다고 판단되면 설비이상 이벤트가 존재(S180)하는 것으로 판단하고, 설비이상 판단부(240)는 이상 이벤트의 존재를 출력할 수 있다. After the temperature calculation step (S110), a normal temperature generation step (S120) is performed to recognize the temperature of the facility 2 in a normal state, and a body temperature determination step (S130), a limit determination step (S140), and a deviation determination step It is possible to determine whether an abnormal temperature exists by performing (S150) in order. If it is determined that the abnormal temperature exists (S160), the event determination step (S170) is performed, and if it is determined that the abnormal temperature is maintained longer than the determination reference time, it is determined that a facility abnormality event exists (S180), and the equipment abnormality determination unit 240 may output the presence of an abnormal event.
도 2, 도 3b 및 도 4를 참조하여 온도산출 단계(S110)를 설명한다. The temperature calculation step (S110) will be described with reference to FIGS. 2, 3B and 4.
도 4는 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템(10)이 온도를 인식하는 과정을 설명하는 도면이다.FIG. 4 is a diagram illustrating a process of recognizing the temperature of the system 10, which detects and expresses an abnormal temperature in an industrial site with a thermal imaging camera according to an embodiment of the present invention, and generates and informs an alarm.
카메라모듈(100)의 열화상카메라(120)는 적외선 영역에서 산업현장(1)을 촬영하여 열화상을 생성한다. 생성된 열화상은 서버(200)의 저장부(210)에 저장된다. 열화상은 그레이스케일로 생성된다. 도 4에 도시된 프레임(Frame)은 본 발명의 일실시예의 설명을 위하여 열화상에서 임의로 추출한 프레임이다. 프레임은 각 픽셀마다 그레이스케일 값(Gray Scale Value)이 존재한다. The thermal imaging camera 120 of the camera module 100 captures the industrial site 1 in the infrared region and generates a thermal image. The generated thermal image is stored in the storage unit 210 of the server 200 . Thermal images are created in grayscale. A frame shown in FIG. 4 is a frame arbitrarily extracted from a thermal image for explanation of an embodiment of the present invention. A frame has a gray scale value for each pixel.
설비이상 판단부(240)는 설비이상 판단단계(S22)를 수행한다. 설비이상 판단부(240)는 설비이상 판단단계(S22)에서 열화상의 프레임에서 픽셀별로 그레이스케일 값을 추출하여 그레이스케일 매트릭스를 생성하고, 그레이스케일 값의 최저값과 최대값에 매칭된 상기 열화상카메라(120)의 최저 온도와 최고 온도를 이용하여 그레이스케일 값을 온도로 변환하고, 픽셀의 온도를 정상온도와 비교하여 기준편차 이상의 차이가 존재하는 경우 설비이상 이벤트를 출력할 수 있다. The equipment abnormality determination unit 240 performs the equipment abnormality determination step (S22). In the facility abnormality determining step (S22), the facility abnormality determining unit 240 extracts gray scale values for each pixel from the frame of the thermal image to create a gray scale matrix, and matches the minimum and maximum values of the gray scale values of the thermal imaging camera. A gray scale value is converted into a temperature using the minimum temperature and maximum temperature of (120), and the temperature of the pixel is compared with the normal temperature, and if there is a difference of more than a standard deviation, a facility failure event can be output.
먼저, 설비이상 판단부(240)는 온도산출 단계(S110)를 수행한다. 온도산출 단계(S110)에서, 프레임의 각 픽셀의 그레이스케일 값을 추출하여 그레이스케일 매트릭스(Gray Scale Matrix)를 생성한다. 그레이스케일 매트릭스는 프레임의 가로 및 세로 픽셀의 수에 따라 매트릭스의 행과 열의 수가 결정될 수 있다. 그레이스케일 매트릭스는 프레임과 1:1로 대응될 수 있다. 프레임의 크기가 (m,n)일 때, 그레이스케일 매트릭스는 (m by n)의 매트릭스 형태로 형성될 수 있다. 그레이스케일 매트릭스는 저장부(210)에 저장될 수 있다. 그레이스케일 매트릭스는 0에서 255의 값을 나타낼 수 있고, 0인 경우 흰색을, 255인 경우 검정색을 나타낼 수 있다. First, the equipment abnormality determination unit 240 performs a temperature calculation step (S110). In the temperature calculation step (S110), a gray scale matrix is generated by extracting the gray scale value of each pixel of the frame. The number of rows and columns of the grayscale matrix may be determined according to the number of horizontal and vertical pixels of the frame. The grayscale matrix may correspond 1:1 to the frame. When the size of the frame is (m,n), the grayscale matrix may be formed in the form of a matrix of (m by n). The grayscale matrix may be stored in the storage unit 210 . The gray scale matrix can represent values from 0 to 255, and can represent white when 0 and black when 255.
다음으로, 픽셀의 그레이스케일 값을 온도로 변환하여 온도 매트릭스를 생성한다. 열화상카메라(120)는 측정 가능한 최고온도(Tmax)와 최저온도(Tmin)가 결정되어 있다. 열화상카메라(120)는 설정된 최고온도와 최저온도의 비율에 따라 그레이스케일 값을 계산하여 그레이스케일의 열화상을 생성한다. 따라서 역으로 그레이스케일 값을 최고온도와 최저온도의 비율에 따라 실제 온도로 변환할 수 있다. 그레이스케일 값을 온도로 변환하는 것은 아래 수학식 1을 이용한다. Next, we convert the grayscale values of pixels to temperatures to create a temperature matrix. In the thermal imaging camera 120, a maximum measurable temperature (Tmax) and a minimum temperature (Tmin) that can be measured are determined. The thermal imaging camera 120 generates a gray scale thermal image by calculating a gray scale value according to a set ratio of the highest temperature to the lowest temperature. Accordingly, the gray scale value can be converted into an actual temperature according to the ratio of the maximum temperature and the minimum temperature. Converting a gray scale value into a temperature uses Equation 1 below.
Figure PCTKR2021017279-appb-img-000001
Figure PCTKR2021017279-appb-img-000001
Ti,j(t): t시간의 프레임에서 (i,j) 픽셀의 현재 온도, Tmax: 열화상카메라에 설정된 최고 온도, Tmin: 열화상카메라에 설정된 최저 온도, Gi,j(t): t시간의 프레임에서 (i,j) 픽셀의 그레이스케일 값. 255: 그레이스케일 값의 최저값과 최고값의 개수T i,j (t): current temperature of (i,j) pixel in frame at time t, T max : maximum temperature set in the thermal imaging camera, T min : minimum temperature set in the thermal imaging camera, G i,j ( t): Grayscale value of pixel (i,j) in the frame at time t. 255: number of lowest and highest grayscale values
온도산출 단계(S110)를 수행하면, 현재시간(t)의 열화상의 프레임에서, 각 픽셀의 온도를 산출할 수 있다. When the temperature calculation step (S110) is performed, the temperature of each pixel in the thermal image frame at the current time (t) can be calculated.
도 5는 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템(10)이 정상온도를 인식하는 과정을 설명하는 도면이다. 도 3b, 도 5를 함께 참조한다. FIG. 5 is a diagram illustrating a process of recognizing a normal temperature by a system 10 that detects and expresses an abnormal temperature in an industrial site using a thermal imaging camera according to an embodiment of the present invention and issues an alarm. 3B and 5 are also referred to.
본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템의 동작방법의 설비이상 판단단계(S22)는 온도산출 단계(S110) 이후에, 현재시간이 정상상태 적응기간 이전인 경우 현재온도를 정상온도로서 저장부에 누적하여 저장하고, 누적된 정상온도를 평균하여 정상온도를 산출하는 정상온도 생성단계(S120)를 더 포함할 수 있다. According to an embodiment of the present invention, the facility abnormality determination step (S22) of the operating method of the system for detecting and expressing the abnormal temperature of the industrial site and generating an alarm to notify the abnormal temperature of the industrial site with a thermal imaging camera according to an embodiment of the present invention is after the temperature calculation step (S110), the current When the time is prior to the steady state adaptation period, a normal temperature generating step (S120) of accumulating and storing the current temperature as the normal temperature in the storage unit and calculating the normal temperature by averaging the accumulated normal temperatures may be further included.
설비이상 판단부(240)가 픽셀의 현재 온도와 정상온도를 비교할 때, 정상온도는 미리 측정되어 기억되어 있는 값이다. 정상 상태는 산업현장(1)에 사고 또는 오작동이 없는 상태를 말한다. 정상온도 생성단계(S120)는 정상 상태의 온도를 수집하고 평균하여 정상온도를 생성하는 과정이다. 정상온도는 픽셀별로 정상상태 적응기간 동안 수집한 온도의 평균으로 정해질 수 있다. 정상온도는 범위로 정해질 수도 있다. 정상상태 적응기간은 정상 상태의 온도 데이터를 축적하는 기간이다. 정상상태 적응기간은 시간 또는 프레임의 개수로 정해질 수 있다. When the facility abnormality determining unit 240 compares the current temperature and the normal temperature of the pixel, the normal temperature is a value that has been measured and stored in advance. The normal state refers to a state in which there are no accidents or malfunctions in the industrial site (1). The normal temperature generating step (S120) is a process of generating a normal temperature by collecting and averaging temperatures in a steady state. The normal temperature may be determined as an average of temperatures collected during the steady-state adaptation period for each pixel. The normal temperature may be set as a range. The steady-state adaptation period is a period for accumulating steady-state temperature data. The steady-state adaptation period may be determined by time or the number of frames.
먼저, 열화상 프레임의 현재시간(t)과 정상상태 적응기간(tset)을 비교하는 단계(S121)를 수행한다. 현재시간(t)이 정상상태 적응기간(tset) 초과하는 경우(Y1) 이미 정상온도를 획득하는 기간이 지난 것이므로 체온 판단단계(S130), 한계 판단단계(S140), 편차 판단단계(S150) 중의 하나를 수행할 수 있다. 열화상 프레임의 현재시간(t)이 정상상태 적응기간(tset)을 초과하지 않는 경우(N1), 정상 상태의 온도를 누적하는 기간에 해당한다. 온도산출 단계(S110)에서 생성한 픽셀별 온도를 정상 상태의 온도로서 저장부(210)에 저장하는 정상상태 온도 누적단계(S122)를 수행한다. 정상상태 온도 누적단계(S122)이후에, 지금까지 누적된 정상 상태의 온도를 평균하여 정상온도를 산출한다. 정상온도는 정상 상태의 산업현장(1)을 촬영하여 생성된 열화상에서 정상상태 적응기간 동안의 각 픽셀의 온도를 평균하여 구할 수 있다. 정상상태 적응기간동안은 정상 상태의 온도를 누적하면서 평균하여 정상온도를 산출하는 과정을 반복할 수 있다. 정상상태 적응기간이 지나면 마지막으로 산출된 정상온도를 이용하여 편차 판단단계(S150)를 수행할 수 있다. First, a step of comparing the current time (t) of the thermal image frame and the steady-state adaptation period (t set ) (S121) is performed. If the current time (t) exceeds the steady-state adaptation period (t set ) (Y1), since the period of obtaining the normal temperature has already passed, the body temperature determination step (S130), the limit determination step (S140), and the deviation determination step (S150) one of them can be done. If the current time (t) of the thermal image frame does not exceed the steady state adaptation period (t set ) (N1), it corresponds to the period for accumulating the temperature in the steady state. A steady-state temperature accumulation step (S122) of storing the temperature of each pixel generated in the temperature calculation step (S110) in the storage unit 210 as a steady-state temperature is performed. After the steady-state temperature accumulation step (S122), the steady-state temperature is calculated by averaging the accumulated steady-state temperatures. The steady state temperature can be obtained by averaging the temperature of each pixel during the steady state adaptation period in the thermal image generated by photographing the industrial site 1 in the steady state. During the steady-state adaptation period, the process of calculating the steady-state temperature by accumulating and averaging the steady-state temperatures may be repeated. After the steady state adaptation period has passed, the deviation determination step (S150) may be performed using the finally calculated normal temperature.
구체적으로, 설비이상 판단부(240)는 열화상에서 시간(t)에 따라 복수의 프레임을 획득하고, 프레임의 픽셀마다 각각 온도를 평균하여 평균 온도 매트릭스를 생성할 수 있다. 예를 들어, 프레임 1(Frame 1)부터 프레임 6(Frame6)까지 6개의 프레임에서 6개의 픽셀 1(P1)의 온도를 획득하여 평균하여 픽셀 1(P2)의 정상온도를 획득할 수 있고, 동일한 방법으로 픽셀 2(P2), 픽셀 3(P3)의 정상온도를 획득할 수 있다. In detail, the facility abnormality determining unit 240 may obtain a plurality of frames according to time t from the thermal image and average the temperature of each pixel of the frame to generate an average temperature matrix. For example, the normal temperature of pixel 1 (P2) can be obtained by obtaining and averaging the temperatures of six pixels 1 (P1) in six frames from Frame 1 to Frame 6, and In this way, the normal temperatures of the pixels 2 (P2) and 3 (P3) can be obtained.
픽셀별 정상온도는 아래 수학식 2를 이용하여 산출할 수 있다. The normal temperature for each pixel can be calculated using Equation 2 below.
Figure PCTKR2021017279-appb-img-000002
Figure PCTKR2021017279-appb-img-000002
Tai,j(t): 정상상태 적응기간동안 프레임에서 (i,j) 픽셀의 평균 온도, Ti,j(x): x시간의 프레임에서 (i,j) 픽셀의 온도, tset: 정상상태 적응기간Ta i,j (t): average temperature of (i,j) pixel in frame during steady-state adaptation period, T i,j (x): temperature of (i,j) pixel in frame at time x, t set : Steady-state adaptation period
정상온도는 평균 온도 매트릭스의 형태로 저장될 수 있다. 설비이상 판단부(240)는 각 픽셀마다 정상온도를 획득하여, 정상온도 매트릭스를 생성할 수 있다. 정상온도 매트릭스는 산업 현장에 따라 다를 수 있고, 작업 환경에 따라 다를 수 있으며, 작업 공정의 단계에 따라 다를 수 있다. Normal temperatures can be stored in the form of an average temperature matrix. The facility abnormality determination unit 240 may obtain a normal temperature for each pixel and generate a normal temperature matrix. The normal temperature matrix may vary depending on the industrial site, the work environment, and the stage of the work process.
다시 도 3b를 참조한다. 설비이상 판단단계(S22)는 현재시간이 정상상태 적응기간을 지난 것으로 판단되면(Y1), 체온 판단단계(S130)를 수행할 수 있다. 산업현장(1)에는 작업자가 존재하고, 작업자가 열화상에 촬영되면 작업자의 존재로 인하여 픽셀의 온도가 변화한다. 작업자에 해당하는 픽셀의 온도 변화를 설비(2)의 이상 온도로 판단하는 것은 바람직하지 않다. 따라서, 설비이상 판단부(240)는 해당 픽셀의 온도가 사람(3)의 체온 범위에 해당하는 경우 이상 온도가 발생한 것으로 판단하지 않는다. Again refer to FIG. 3B. In the facility abnormality determination step (S22), when it is determined that the current time has passed the steady state adaptation period (Y1), the body temperature determination step (S130) may be performed. A worker exists in the industrial site 1, and when the worker is captured in a thermal image, the temperature of a pixel changes due to the worker's presence. It is not desirable to determine the temperature change of the pixel corresponding to the operator as the abnormal temperature of the facility 2 . Accordingly, the facility abnormality determination unit 240 does not determine that an abnormal temperature has occurred when the temperature of the corresponding pixel corresponds to the body temperature range of the person 3 .
체온 판단단계(S130)는 픽셀의 온도와 체온의 범위를 비교하여, 픽셀의 온도가 체온의 범위를 벗어나는지 판단한다. 픽셀의 온도가 체온의 범위를 벗어나지 않는 경우(N2), 이상 온도가 발생한 것으로 판단하지 않는다. 픽셀의 온도가 체온의 범위를 벗어나는 경우(Y2), 한계 판단단계(S140) 또는 편차 판단단계(S150)를 수행할 수 있다. 현재 온도가 체온의 범위를 벗어나는 온도라면 설비(2)에 이상이 발생하였는지 판단하기 위하여 다른 판단단계를 수행하는 것이다. In the body temperature determination step (S130), it is determined whether the temperature of the pixel is out of the body temperature range by comparing the temperature of the pixel with the range of the body temperature. If the temperature of the pixel does not deviate from the body temperature range (N2), it is not determined that an abnormal temperature has occurred. When the temperature of the pixel is out of the body temperature range (Y2), a limit determination step (S140) or a deviation determination step (S150) may be performed. If the current temperature is out of the body temperature range, another judgment step is performed to determine whether an abnormality has occurred in the facility 2.
설비이상 판단단계(S22)는 현재시간이 정상상태 적응기간을 지난 것으로 판단되고(Y1), 현재온도가 체온의 범위를 벗어나는 온도라고 판단되면(Y2) 한계 판단단계(S140)를 수행할 수 있다. In the equipment abnormality determination step (S22), when it is determined that the current time has passed the steady state adaptation period (Y1) and the current temperature is determined to be a temperature outside the range of the body temperature (Y2), the limit determination step (S140) can be performed. .
한계 판단단계(S140)에서, 설비이상 판단부(240)는 임의의 픽셀의 현재온도가 저온 한계값과 고온 한계값 사이에 포함되지 않는 경우(N3) 이상 온도가 존재(S160)하는 것으로 판단할 수 있다. 고온 임계값은 정해진 온도 이상의 온도를 감지하기 위한 기준 값이다. 임의의 픽셀의 현재온도가 고온 임계값을 초과하는 경우(N3) 이상 온도가 발생한 것으로 판단될 수 있다. 저온 임계값은 정해진 온도 이하의 온도를 감지하기 위한 기준 값이다. 임의의 픽셀의 현재온도가 저온 임계값의 미만인 경우(N3) 이상 온도가 발생한 것으로 판단될 수 있다. 임의의 픽셀의 현재온도가 저온 임계값 이상이고 고온 임계값 이하인 경우(Y3), 과도하게 낮거나 높은 온도가 아니므로 편차 판단단계(S150)를 수행하여 이상 온도가 존재하는지 판단한다. In the limit determination step (S140), the facility abnormality determination unit 240 determines that an abnormal temperature exists (S160) when the current temperature of any pixel is not included between the low temperature limit value and the high temperature limit value (N3). can The high temperature threshold is a reference value for detecting a temperature higher than a predetermined temperature. When the current temperature of an arbitrary pixel exceeds the high temperature threshold (N3), it may be determined that an abnormal temperature has occurred. The low temperature threshold is a reference value for detecting a temperature below a predetermined temperature. When the current temperature of an arbitrary pixel is less than the low temperature threshold (N3), it may be determined that an abnormal temperature has occurred. If the current temperature of any pixel is equal to or higher than the low temperature threshold and equal to or lower than the high temperature threshold (Y3), since the temperature is not excessively low or high, a deviation determination step (S150) is performed to determine whether an abnormal temperature exists.
도 6은 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템(10)이 정상온도와 현재 온도를 비교하는 과정을 설명하는 도면이다. FIG. 6 is a diagram illustrating a process of comparing a normal temperature and a current temperature in a system 10 that detects and expresses an abnormal temperature in an industrial field and issues an alarm using a thermal imaging camera according to an embodiment of the present invention.
편차 판단단계(S150)는, 정상온도와 현재온도의 편차를 계산하는 편차 계산단계, 및 계산된 편차와 기준편차를 비교하여 계산된 편차가 기준편차보다 큰 경우(Y4) 이상 온도가 존재하는 것으로 판단하고, 계산된 편차가 기준편차보다 작은 경우(N4) 이상 온도가 존재하지 않는 것으로 판단하는 비교단계를 포함할 수 있다. 기준편차는 이상 온도를 감지하기 위한 온도 편차의 기준 값이다.In the deviation determination step (S150), the deviation calculation step of calculating the deviation between the normal temperature and the current temperature, and comparing the calculated deviation with the standard deviation, and when the calculated deviation is greater than the standard deviation (Y4), it is determined that an abnormal temperature exists. and a comparison step of determining that no abnormal temperature exists when the calculated deviation is smaller than the standard deviation (N4). The standard deviation is a reference value of a temperature deviation for detecting an abnormal temperature.
정상온도는 설비이상 판단부(240)에 의해 결정되어 저장부(210)에 저장된 값이다. 도 5를 참조하여 설명한 바와 같이, 복수의 프레임에서 각 픽셀의 온도를 평균하여 정상온도 매트릭스(본 명세서에서 평균 온도 매트릭스, Average Temperature Matrix로도 기재한다)를 생성할 수 있다. The normal temperature is a value determined by the equipment abnormality determining unit 240 and stored in the storage unit 210 . As described with reference to FIG. 5 , it is possible to generate a normal temperature matrix (also referred to as an average temperature matrix in this specification) by averaging the temperature of each pixel in a plurality of frames.
설비이상 판단부(240)는 실시간으로 생성되는 열화상의 프레임에 대해, 픽셀 별로 해당 프레임의 현재온도와 정상온도 값을 비교한다. 이때, 정상온도와 현재온도의 온도 편차를 산출한다. 임의의 픽셀의 온도와 정상온도를 비교한 온도 편차가 기준편차보다 큰 경우 이상 온도가 발생한 것으로 판단할 수 있다. 다르게 설명하면, 실시간으로 생성되는 열화상의 프레임마다 온도 매트릭스가 생성되고, 온도 매트릭스를 정상온도 매트릭스(평균 온도 매트릭스)와 비교하여 기준편차 이상의 온도 편차가 발생한 픽셀은 이상 온도가 발생한 것으로 판단하는 것이다. The facility abnormality determination unit 240 compares the current temperature and normal temperature values of the corresponding frame for each pixel of the frame of the thermal image generated in real time. At this time, the temperature difference between the normal temperature and the current temperature is calculated. When the temperature deviation obtained by comparing the temperature of a certain pixel with the normal temperature is greater than the reference deviation, it can be determined that an abnormal temperature has occurred. In other words, a temperature matrix is generated for each frame of a thermal image generated in real time, and the temperature matrix is compared with a normal temperature matrix (average temperature matrix), and a pixel having a temperature deviation greater than or equal to a standard deviation is determined to have an abnormal temperature.
픽셀별 온도 편차는 아래 수학식 3을 이용하여 산출할 수 있다. The temperature deviation for each pixel can be calculated using Equation 3 below.
Figure PCTKR2021017279-appb-img-000003
Figure PCTKR2021017279-appb-img-000003
△Ti,j(t): t시간의 프레임에서 (i,j) 픽셀의 온도 편차, Tai,j(t): 정상상태 적응기간동안 프레임에서 (i,j) 픽셀의 평균 온도, Ti,j(t): t시간의 프레임에서 (i,j) 픽셀의 현재 온도ΔT i,j (t): Temperature deviation of (i,j) pixels in a frame at time t, Ta i,j (t): Average temperature of (i,j) pixels in a frame during the steady-state adaptation period, T i,j (t): current temperature of pixel (i,j) in frame at time t
한편, 설비이상 판단부(240)는 설비이상 판단단계(S22)에서 설비(2)의 가동상태에 따라 정상온도를 다르게 적용할 수 있다. Meanwhile, the facility abnormality determining unit 240 may apply different normal temperatures depending on the operating state of the facility 2 in the facility abnormality determining step (S22).
설비(2)의 가동상태는 공정의 단계에 따라 다를 수 있다. 예를 들어, 고온이 필요한 공정에서는 정상온도가 고온이며, 동일한 설비(2)가 동작하지 않을 때는 산업현장(1)의 실온이 정상온도일 수 있다. 따라서 설비이상 판단부(240)는 설비(2)의 동작상태에 관한 정보에 기초하여, 설비(2)의 동작상태마다 복수의 정상온도를 인식하고 저장부(210)에 저장해놓을 수 있다. 그리고, 설비(2)가 정해진 동작 상태에 진입한 경우, 설비이상 판단부(240)는 진입한 동작 상태의 정상온도에 따라 이상 온도 여부를 판단할 수 있다. The operating state of the facility 2 may vary depending on the stage of the process. For example, in a process requiring a high temperature, the normal temperature is a high temperature, and when the same equipment 2 is not operating, the room temperature of the industrial site 1 may be the normal temperature. Accordingly, the facility abnormality determination unit 240 may recognize a plurality of normal temperatures for each operating state of the facility 2 based on information about the operating state of the facility 2 and store them in the storage unit 210 . And, when the facility 2 enters a predetermined operating state, the equipment abnormality determination unit 240 may determine whether the facility 2 has an abnormal temperature according to the normal temperature of the entered operating state.
다시 도 3b를 참조한다. 체온 판단단계(S130), 한계 판단단계(S140), 편차 판단단계(S150)를 거쳐 이상 온도가 존재하는 것으로 판단되는 경우(S160), 현재시간(t)의 프레임에서 이상 온도가 존재하는 것으로 판단한 것이다. 이상 온도는 다양한 원인으로 인하여 일시적으로 열화상에 나타날 수 있다. 이상 온도가 발생한 것이 의미있는 기간동안 유지되는 경우에 설비(2)에 이상이 발생한 것으로 판단하는 것이 바람직하다. 따라서 이상 온도가 얼마나 지속되는지 판단하기 위한 이벤트 판단단계(S170)를 수행한다. 설비이상 판단부(240)는 정해진 프레임마다 또는 정해진 시간마다 이상 온도의 발생 여부를 판단하는데, 정해진 판단 기준시간보다 길게 이상 온도가 유지되는 경우 최종적으로 이상 온도가 발생한 것으로 판단하고, 설비이상 이벤트를 출력(S180)할 수 있다. Again refer to FIG. 3B. When it is determined that an abnormal temperature exists through the body temperature determination step (S130), limit determination step (S140), and deviation determination step (S150) (S160), it is determined that an abnormal temperature exists in the frame of the current time (t) will be. Abnormal temperatures may appear temporarily in thermal images due to various causes. It is preferable to determine that an abnormality has occurred in the facility 2 when the occurrence of an abnormal temperature is maintained for a meaningful period of time. Therefore, an event determination step (S170) for determining how long the abnormal temperature lasts is performed. The equipment abnormality determination unit 240 determines whether abnormal temperature has occurred for each set frame or for each set time. It can be output (S180).
판단 기준시간은 이상 온도로 판단하기 위하여 온도가 지속되어야하는 시간이다. 임의의 픽셀의 온도가 정상온도를 벗어난 상태로 판단 기준시간보다 긴 시간동안 지속되는 경우, 이상 온도가 발생한 것으로 판단할 수 있다. 설비이상 판단부(240)는 임의의 픽셀에서 이상 온도가 발생한 것으로 판단하는 경우(S160), 타이머가 활성화되어 있는지 확인하고(S171), 타이머가 비활성화 상태인 경우(N5) 타이머를 활성화한다(S172). 타이머가 활성화된 상태인 경우(Y5) 타이머 카운터를 1만큼 증가시킨다(S173). 타이머가 활성화되면(S172) 타이머 카운터에는 1값이 부여된다. 이상 온도가 존재하는 것으로 판단되는 프레임이 연속으로 존재하는 경우 카운터가 계속하여 증가(173)한다. 카운터를 증가시킨 다음, 카운터 값이 판단 기준시간에 도달하였는지 판단한다(S174). 카운터 값이 판단 기준시간에 도달한 경우(Y6) 이상 온도가 정해진 시간만큼 유지된 것이므로 설비이상 판단부(240)는 설비이상 이벤트를 출력한다. 카운터 값이 판단 기준시간에 도달하지 않은 경우(N6) 이상 온도가 정해진 시간만큼 유지되지 않은 상태이므로 다음 프레임에 이상 온도가 존재하는지 판단한다. The judgment reference time is the time for which the temperature should be maintained in order to be judged as an abnormal temperature. When the temperature of an arbitrary pixel is out of the normal temperature and continues for a longer time than the judgment reference time, it can be determined that an abnormal temperature has occurred. When it is determined that an abnormal temperature has occurred in a certain pixel (S160), the facility abnormality determining unit 240 checks whether the timer is activated (S171), and activates the timer when the timer is in an inactive state (N5) (S172). ). When the timer is in an activated state (Y5), the timer counter is increased by 1 (S173). When the timer is activated (S172), a value of 1 is given to the timer counter. When the frame determined to have an abnormal temperature continuously exists, the counter continues to increase (173). After incrementing the counter, it is determined whether the counter value has reached the reference time (S174). When the counter value reaches the judgment standard time (Y6), since the abnormal temperature has been maintained for a predetermined time, the equipment abnormality determination unit 240 outputs a facility abnormality event. If the counter value does not reach the judgment standard time (N6), since the abnormal temperature has not been maintained for a set time, it is determined whether there is an abnormal temperature in the next frame.
체온 판단단계(S130)에서 현재온도가 체온 범위를 벗어나지 않은 경우(N2) 또는 편차 판단단계(S150)에서 현재 온도와 정상온도의 온도 편차가 기준편차보다 작은 경우(N4)는 이상 온도가 존재하지 않는 것이다. 따라서 타이머를 초기화한다(S175).If the current temperature does not deviate from the body temperature range in the body temperature determination step (S130) (N2) or if the temperature deviation between the current temperature and the normal temperature is smaller than the standard deviation in the deviation determination step (S150) (N4), no abnormal temperature exists. It is not. Therefore, the timer is initialized (S175).
설비이상 판단부(240)는 한번 설비이상 이벤트를 출력한 다음에도, 계속하여 정해진 판단 기준시간보다 길게 이상 온도가 유지되는 경우, 설비이상 이벤트를 반복적으로 출력할 수 있다. 설비이상 이벤트가 반복적으로 출력되면, 알림부(250)는 알림을 반복적으로 송출할 수 있다. The facility abnormality determining unit 240 may repeatedly output a facility abnormal event if the abnormal temperature is continuously maintained for longer than a predetermined determination reference time even after outputting the equipment abnormal event once. If a facility failure event is repeatedly output, the notification unit 250 may repeatedly transmit a notification.
설비이상 판단부(240)는 프레임을 하나 이상의 구역으로 분할하고, 구역마다 기준편차, 고온 한계값, 저온 한계값, 정상온도, 판단 기준시간, 정상상태 적응기간을 다르게 설정할 수 있다.The equipment abnormality determination unit 240 divides the frame into one or more zones, and may differently set a standard deviation, a high temperature limit value, a low temperature limit value, a normal temperature, a judgment reference time, and a steady state adaptation period for each zone.
설비이상 판단부(240)는 프레임에서 구역을 분할할 수 있다. 예를 들어, 프레임을 균등하게 4등분하여 4개의 구역을 설정할 수 있다. 또는 프레임을 균등하게 9등분하여 9개의 구역을 설정할 수 있다. 또는 프레임에서 제1 설비가 촬영되는 영역과 제2 설비가 촬영되는 영역을 나누어 다수의 구역을 설정할 수 있다. 복수의 구역에는 구역마다 번호가 부여될 수 있다. The facility abnormality determination unit 240 may divide zones in the frame. For example, 4 zones can be set by dividing the frame into 4 equal parts. Alternatively, nine zones can be set by equally dividing the frame into nine equal parts. Alternatively, a plurality of zones may be set by dividing an area where the first facility is photographed and an area where the second facility is photographed in the frame. A number may be assigned to each zone in a plurality of zones.
설비이상 판단부(240)는 기준편차, 고온 임계값, 저온 임계값, 정상온도, 판단 기준시간, 정상상태 적응기간을 구역마다 다르게 설정할 수 있다. 예를 들어, 제1 구역은 고온 임계값과 저온 임계값이 제2 구역보다 높게 설정될 수 있다. 또는 제3 구역은 제4 구역보다 기준편차가 크게 설정될 수 있다. The facility abnormality determination unit 240 may set the standard deviation, high temperature threshold value, low temperature threshold value, normal temperature, determination reference time, and steady state adaptation period differently for each zone. For example, the high temperature threshold and the low temperature threshold of the first zone may be set higher than those of the second zone. Alternatively, the standard deviation of the third zone may be set larger than that of the fourth zone.
구역의 설정, 기준편차, 고온 임계값, 저온 임계값, 정상온도의 설정, 판단 기준시간, 정상상태 적응기간은 카메라모듈마다 다르게 설정될 수 있다. Zone setting, standard deviation, high temperature threshold, low temperature threshold, normal temperature setting, determination reference time, and steady state adaptation period may be set differently for each camera module.
산업현장(1)에는 다양한 설비(2)가 설치되어 있을 수 있고, 설비(2)마다 정상 온도가 다를 수 있다. 따라서 구역을 설정하고, 구역마다 기준편차, 고온 임계값, 저온 임계값, 정상온도, 판단 기준시간, 정상상태 적응기간을 다르게 설정하여 산업현장(1)에 따라 알맞는 감시를 수행할 수 있다. Various facilities 2 may be installed in the industrial site 1, and the normal temperature may be different for each facility 2. Therefore, appropriate monitoring can be performed according to the industrial site (1) by setting the zone and setting the standard deviation, high temperature threshold value, low temperature threshold value, normal temperature, judgment standard time, and steady state adaptation period differently for each zone.
도 7은 본 발명의 일실시예에 따른 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템(10)이 이상 온도가 발생한 영역을 표시하여 생성한 알람을 나타내는 도면이다. 7 is a diagram illustrating an alarm generated by displaying an area where an abnormal temperature occurs in a system 10 that detects and expresses an abnormal temperature at an industrial site and generates and informs an alarm using a thermal imaging camera according to an embodiment of the present invention. .
열화상에서 이상 온도가 발생하면 설비이상 판단부(240)는 설비이상 이벤트를 출력하고, 알람부는 설비이상 이벤트에 기초하여 관리자에게 이상 온도가 발생한 내용을 알린다. 알림부(250)는 설비이상 이벤트가 출력되는 경우, 이상 온도가 발생한 픽셀의 좌표, 이상 온도가 발생한 픽셀을 포함하는 구역의 번호, 이상 온도가 발생한 프레임, 프레임의 시간, 이상 온도를 촬영한 카메라모듈(100)의 위치, 이상 온도를 촬영한 카메라모듈(100)의 광학카메라(110)가 촬영한 광학영상의 동일 시간대 프레임 등 설비이상 이벤트에 관련된 정보들을 수집하고 가공하여 관리자에게 제공할 수 있다. When an abnormal temperature occurs in the thermal image, the equipment abnormality determining unit 240 outputs an equipment abnormality event, and the alarm unit notifies the manager of the occurrence of abnormal temperature based on the equipment abnormality event. When a facility abnormality event is output, the notification unit 250 outputs the coordinates of the pixel where the abnormal temperature occurred, the number of the zone including the pixel where the abnormal temperature occurred, the frame where the abnormal temperature occurred, the time of the frame, and the camera that captured the abnormal temperature. Information related to a facility abnormality event, such as the location of the module 100 and the optical image taken by the optical camera 110 of the camera module 100 that captured the abnormal temperature, at the same time frame, etc., can be collected, processed, and provided to the manager. .
알림부(250)는 이상 온도가 발생한 픽셀의 위치를 프레임에 제1 색상으로 표시하고, 이상 온도가 발생한 픽셀의 좌표, 이상 온도가 발생한 픽셀에 해당하는 산업현장(1)의 좌표를 기재한 메일을 자동으로 생성하여 관리자에게 제공할 수 있다. 저장부(210)에는 카메라모듈(100)이 촬영하는 방향에 따라, 산업현장(1)의 위치와 카메라모듈(100)이 촬영하는 영상의 프레임의 좌표를 매칭할 수 있는 정보가 저장되어 있다. 알림부(250)는 이상 온도가 발생한 카메라모듈(100)의 위치, 카메라모듈(100)의 방향, 이상 온도가 발생한 픽셀 좌표에 기초하여, 프레임에 대응하는 산업현장(1)의 실제 좌표를 산출할 수 있다. The notification unit 250 displays the position of the pixel where the abnormal temperature occurred in a first color in a frame, and mails the coordinates of the pixel where the abnormal temperature occurred and the coordinates of the industrial site 1 corresponding to the pixel where the abnormal temperature occurred. can be automatically generated and provided to the administrator. The storage unit 210 stores information capable of matching the position of the industrial site 1 and the coordinates of the frame of the image captured by the camera module 100 according to the direction in which the camera module 100 captures. The notification unit 250 calculates the actual coordinates of the industrial site 1 corresponding to the frame based on the position of the camera module 100 where the abnormal temperature occurred, the direction of the camera module 100, and the pixel coordinates where the abnormal temperature occurred. can do.
이상 온도가 발생한 픽셀의 위치를 표시하는 제1 색상은 그레이스케일이 아니라 유채색을 이용할 수 있다. 예를 들어, 고온의 이상 온도가 발생한 경우 빨간색을 이용할 수 있고, 저온의 이상 온도가 발생한 경우 파란색을 이용할 수 있다. 또는, 그레이스케일의 프레임에서 해당 위치에 화살표를 표시하거나, 해칭으로 이상 온도가 발생한 영역을 표시할 수도 있다. 이상 온도가 발생한 부분을 중심으로 무채색 또는 유채색의 박스를 표시할 수도 있다. The first color indicating the position of the pixel where the abnormal temperature has occurred may use chromatic color instead of gray scale. For example, when a high temperature abnormality occurs, red color may be used, and when a low temperature abnormal temperature occurs, blue color may be used. Alternatively, an arrow may be displayed at a corresponding position in the gray scale frame, or an area where an abnormal temperature occurs may be displayed by hatching. An achromatic or chromatic box may be displayed centered on the part where the abnormal temperature occurs.
관리자는 알림부(250)가 제공한 정보에 기초하여, 산업현장(1)에서 이상이 발생한 위치를 쉽게 인식할 수 있고, 필요한 조치를 즉시 수행할 수 있다. Based on the information provided by the notification unit 250, the manager can easily recognize the location where the abnormality occurred in the industrial site 1, and can immediately take necessary measures.
도 8은 알림부(250)가 관리자에게 제공하는 이상 온도가 발생한 열화상 프레임과 광학 프레임을 나타내는 도면이다. 8 is a diagram illustrating a thermal image frame and an optical frame in which an abnormal temperature is generated, which are provided to a manager by the notification unit 250. Referring to FIG.
알림부(250)는 열화상의 프레임에서 정상온도를 벗어난 것으로 판단된 픽셀의 색상을 제1 색상으로 표시한 이미지와, 열화상의 프레임과 동일한 방향을 촬영한 광학영상 이미지를 광학영상으로부터 추출하여 함께 관리자에게 제공할 수 있다. The notification unit 250 extracts an image in which the color of a pixel determined to be out of the normal temperature in the frame of the thermal image is displayed as a first color and an optical image image taken in the same direction as the frame of the thermal image from the optical image, and manages them together. can be provided to
열화상의 프레임은 그레이스케일의 이미지이고, 온도에 따라 그레이스케일 값이 달라지는 이미지이다. 따라서 물체의 형상과 무관하게 온도에 의해 이미지가 생성되므로, 관리자가 그레이스케일의 이미지만을 보고 산업현장(1)의 해당 위치를 곧바로 인식하기 어려울 수 있다. 알림부(250)는 열화상 프레임에서 이상 온도가 발생한 부분의 픽셀을 제1 색상, 화살표, 원 등으로 표시하고, 동일한 시점에서 동일한 방향을 촬영한 광학영상 프레임에서 이상 온도가 발생한 부분의 픽셀을 제1 색상, 화살표, 원 등으로 표시하여, 관리자에게 제공할 수 있다. 관리자는 광학영상 프레임과 열화상 프레임을 함께 확인하여, 이상 온도가 발생한 지점을 쉽게 인식할 수 있다. 제1 색상은 유채색일 수 있다. A frame of a thermal image is a gray scale image, and is an image whose gray scale value varies according to temperature. Therefore, since the image is generated by the temperature regardless of the shape of the object, it may be difficult for a manager to immediately recognize the corresponding location of the industrial site 1 by looking at only the gray-scale image. The notification unit 250 displays pixels in the thermal image frame where the abnormal temperature occurs in a first color, arrows, circles, etc., and displays pixels in the optical image frame where the abnormal temperature occurs in the same direction at the same time. It may be displayed in a first color, an arrow, a circle, or the like, and provided to a manager. The administrator can easily recognize the point where the abnormal temperature occurs by checking the optical image frame and the thermal image frame together. The first color may be a chromatic color.
도 9는 알림부(250)가 이용하는 메일의 구조를 나타내는 도면이다.9 is a diagram showing the structure of mail used by the notification unit 250. Referring to FIG.
알림단계(S23)는 전자메일을 통해 설비이상 이벤트를 전달하며, 이상 온도가 발생한 구역에 대한 정보를 전자메일 본문에 포함하고, 열화상의 프레임 이미지에 이상 온도가 발생한 픽셀을 표시한 이미지를 포함할 수 있다. In the notification step (S23), a facility abnormality event is transmitted via e-mail, information on the area where the abnormal temperature occurs is included in the body of the e-mail, and an image displaying pixels where the abnormal temperature occurs is included in the frame image of the thermal image. can
전자메일을 이용하여 제공되는 메시지 구조는 메일 헤더(Mail Header, 910)과 메일 바디(Mail Body, 920)로 구성될 수 있다.A message structure provided using e-mail may be composed of a mail header (Mail Header, 910) and a mail body (Mail Body, 920).
메일 헤더(910)에는 송신자 메일 주소(Sender Mail Address, 911), 수신자 메일 주소(Receiver Mail Address, 912), 카메라 IP 주소(Camera IP Address, 913), 이벤트 플래그(Event Flags, 914), 포트(Port, 915), 타임스탬프(Timestamp, 916)를 포함할 수 있다. The mail header 910 includes a sender mail address (911), a receiver mail address (912), a camera IP address (913), an event flag (914), a port ( Port, 915) and timestamp (Timestamp, 916).
송신자 메일 주소(911)와 수신자 메일 주소(912)은 각각 경보 알람 메일의 송신자와 수신자의 메일 주소를 나타내고, 카메라 IP 주소(913)은 해당 경보에 해당하는 이상 온도 변화를 감지한 카메라(100)의 IP 주소를 나타내며, 이벤트 플래그(914)는 설비이상 이벤트가 발생한 점, 온도 편차 초과, 고온, 저온 등 이상 온도 변화의 원인을 나타내는 용도로 사용될 수 있다. 그리고 포트(915)는 이메일 전송 채널의 포트 번호를 나타내고, 타임스탬프(916)은 해당 경보가 발생한 시각을 나타낸다.The sender mail address 911 and the receiver mail address 912 indicate the mail addresses of the sender and receiver of the alarm alarm mail, respectively, and the camera IP address 913 is the camera 100 that detects the abnormal temperature change corresponding to the alarm. The event flag 914 may be used to indicate the cause of the abnormal temperature change, such as the occurrence of a facility abnormality event, exceeding a temperature deviation, high temperature or low temperature. A port 915 represents a port number of an e-mail transmission channel, and a timestamp 916 represents a time when a corresponding alert occurred.
메일 바디(920)에는 메일 제목(Title, 921), 구역 정보(Sector Information, 922), 이미지(Image, 923)가 포함된다. 메일 제목(921)은 이상 온도 변화 경보 메일의 제목을 나타내고, 구역 정보(922)는 카메라의 프레임에서 이상 온도 변화가 감지된 구역을 나타내며, 이미지(923)에는 열화상 프레임에 이상 온도 변화가 감지된 구역, 픽셀, 좌표 등을 표시한 이미지, 및 동일한 방향을 촬영한 광학이미지 등을 포함할 수 있다. The mail body 920 includes a mail title (Title, 921), sector information (Sector Information, 922), and image (Image, 923). The mail title 921 indicates the title of the abnormal temperature change alert mail, the zone information 922 indicates the zone where the abnormal temperature change is detected in the frame of the camera, and the image 923 shows the abnormal temperature change detected in the thermal image frame. It may include an image displaying a designated area, pixel, coordinates, etc., and an optical image taken in the same direction.
이상 본 발명을 구체적인 실시예를 통하여 상세히 설명하였으나, 이는 본 발명을 구체적으로 설명하기 위한 것으로, 본 발명은 이에 한정되지 않으며, 본 발명의 기술적 사상 내에서 당해 분야의 통상의 지식을 가진 자에 의해 그 변형이나 개량이 가능함은 명백하다고 할 것이다. Although the present invention has been described in detail through specific examples, this is for explaining the present invention in detail, the present invention is not limited thereto, and within the technical spirit of the present invention, by those skilled in the art It will be clear that the modification or improvement is possible.
본 발명의 단순한 변형 내지 변경은 모두 본 발명의 영역에 속하는 것으로 본 발명의 구체적인 보호 범위는 첨부된 특허청구범위에 의하여 명확해질 것이다.All simple modifications or changes of the present invention fall within the scope of the present invention, and the specific protection scope of the present invention will be clarified by the appended claims.

Claims (15)

  1. 산업현장을 촬영하여 열화상을 생성하는 카메라모듈; 및 A camera module for generating a thermal image by photographing an industrial site; and
    상기 카메라모듈로부터 수신한 상기 열화상을 분석하여 설비에 이상 온도가 존재하는지 판단하는 서버를 포함하는, 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템.A system for detecting and expressing an abnormal temperature at an industrial site with a thermal imaging camera and generating an alarm, including a server that analyzes the thermal image received from the camera module and determines whether an abnormal temperature exists in the facility.
  2. 청구항 1에 있어서, The method of claim 1,
    상기 서버는 The server
    상기 카메라모듈로부터 수신한 광학영상 및 열화상을 저장하는 저장부; a storage unit for storing optical images and thermal images received from the camera module;
    상기 열화상을 분석하여 정상온도를 벗어난 온도가 감지되는지 판단하고, 정상온도를 벗어난 온도가 감지되는 경우 설비이상 이벤트의 발생을 출력하는 설비이상 판단부; 및 a facility abnormality determining unit that analyzes the thermal image to determine whether a temperature outside of the normal temperature is detected, and outputs an occurrence of a facility abnormality event when a temperature outside of the normal temperature is detected; and
    상기 설비이상 판단부에서 설비이상 이벤트의 발생을 출력하는 경우, 이상 이벤트의 발생을 관리자에게 알리는 알림부를 포함하는, 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템.A system for detecting and expressing an abnormal temperature at an industrial site with a thermal imaging camera and generating an alarm, including a notification unit for notifying a manager of the occurrence of an abnormal event when the facility abnormality determination unit outputs the occurrence of an abnormal facility event.
  3. 청구항 2에 있어서, The method of claim 2,
    상기 설비이상 판단부는 The equipment abnormality determination unit
    상기 열화상의 프레임에서 픽셀별로 그레이 스케일 값을 추출하여 그레이 스케일 매트릭스를 생성하고, 그레이 스케일 값의 최저값과 최대값에 매칭된 상기 열화상카메라의 최저 온도와 최고 온도를 이용하여 그레이 스케일 값을 온도로 변환하고, 픽셀의 온도를 정상온도와 비교하여 기준편차 이상의 차이가 존재하는 경우 설비이상 이벤트를 출력하는, 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템.A gray scale matrix is created by extracting a gray scale value for each pixel from the frame of the thermal image, and the gray scale value is converted into a temperature using the minimum and maximum temperatures of the thermal imager matched to the minimum and maximum values of the gray scale values. A system that detects and expresses an abnormal temperature at an industrial site with a thermal imaging camera and generates an alarm to notify the abnormal temperature of the industrial site with a thermal imaging camera that converts the temperature of the pixel and compares the temperature of the pixel with the normal temperature and outputs a facility abnormal event if there is a difference of more than a standard deviation.
  4. 청구항 3에 있어서, The method of claim 3,
    상기 정상온도는 The normal temperature is
    픽셀별로 정상상태 적응기간동안 수집한 온도의 평균으로 정해지며, It is determined as the average of the temperatures collected during the steady-state adaptation period for each pixel,
    상기 설비이상 판단부는 The facility abnormality determination unit
    상기 정상온도를 벗어난 것으로 판단된 픽셀의 온도가 체온의 범위에 해당하는 경우, 설비이상 이벤트를 출력하지 않는, 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템.When the temperature of the pixel determined to be out of the normal temperature corresponds to the range of the body temperature, a system that does not output a facility abnormal event, detects and expresses the abnormal temperature of the industrial site with a thermal imaging camera, and generates an alarm.
  5. 청구항 3에 있어서, The method of claim 3,
    상기 설비이상 판단부는 The equipment abnormality determination unit
    상기 설비의 가동상태에 따라 상기 정상온도를 다르게 적용하는, 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템.A system that applies the normal temperature differently depending on the operating state of the facility, detects and expresses the abnormal temperature of the industrial site with a thermal imaging camera, and generates an alarm to notify.
  6. 청구항 3에 있어서, The method of claim 3,
    상기 설비이상 판단부는 The equipment abnormality determination unit
    상기 프레임을 하나 이상의 구역으로 분할하고, 상기 구역마다 기준편차, 고온 한계값, 저온 한계값, 정상온도, 판단 기준시간, 정상상태 적응기간을 다르게 설정하는, 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템.The frame is divided into one or more zones, and the abnormal temperature of the industrial site is detected with a thermal imaging camera that sets a standard deviation, a high temperature limit value, a low temperature limit value, a normal temperature, a judgment reference time, and a steady state adaptation period differently for each zone. A system that detects, presents and raises an alarm to notify.
  7. 청구항 3에 있어서, The method of claim 3,
    상기 알림부는 the notification section
    상기 열화상의 프레임에서 상기 정상온도를 벗어난 것으로 판단된 픽셀의 색상을 제1 색상으로 표시한 이미지와, 상기 열화상의 프레임과 동일한 방향을 촬영한 광학영상 이미지를 광학영상으로부터 추출하여 함께 관리자에게 제공하는, 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템.In the frame of the thermal image, an image in which the color of the pixel determined to be out of the normal temperature is displayed as the first color and an optical image image taken in the same direction as the frame of the thermal image are extracted from the optical image and provided together to the manager , A system that detects and expresses abnormal temperatures in industrial sites with a thermal imaging camera and issues an alarm.
  8. 카메라모듈이 산업현장을 촬영하여 열화상을 생성하고 서버로 전송하는 영상 생성 단계;An image generation step in which a camera module photographs an industrial site, generates a thermal image, and transmits the thermal image to a server;
    상기 서버의 설비이상 판단부가 상기 열화상에서 인식한 온도가 정상온도를 벗어나는 경우 설비이상 이벤트가 발생한 것으로 판단하는 설비이상 판단단계; 및 a facility abnormality determination step of determining that a facility abnormality event has occurred when the temperature recognized from the thermal image is out of a normal temperature by a facility abnormality determining unit of the server; and
    상기 설비이상 판단부에서 설비이상 이벤트의 발생을 출력하는 경우, 상기 서버의 알림부가 이상 이벤트의 발생을 관리자에게 알리는 알림단계를 포함하는, 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템의 동작방법.When the facility abnormality determination unit outputs the occurrence of an abnormal facility event, the notification unit of the server detects and expresses the abnormal temperature of the industrial site with a thermal imaging camera, including a notification step of notifying a manager of the occurrence of the abnormal event and alarming How to operate the system that generates and informs.
  9. 청구항 8에 있어서, The method of claim 8,
    상기 설비이상 판단단계는 The equipment abnormality judgment step
    열화상의 프레임의 픽셀별 그레이스케일 값을 현재온도로 변환하는 온도산출 단계; 및 a temperature calculation step of converting a gray scale value for each pixel of a frame of a thermal image into a current temperature; and
    정상 상태에서 누적된 온도의 평균으로 산출되는 정상온도와 현재온도의 편차를 계산하고 계산된 편차가 기준편차보다 크면 이상 온도가 존재하는 것으로 판단하는 편차 판단단계를 포함하는, 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템의 동작방법.Industrial field with a thermal imaging camera, including a deviation determination step of calculating the deviation between the normal temperature and the current temperature, which is calculated as the average of the accumulated temperatures in the normal state, and determining that an abnormal temperature exists if the calculated deviation is greater than the standard deviation. A method of operating a system that detects and expresses an abnormal temperature of the temperature and informs by generating an alarm.
  10. 청구항 9에 있어서, The method of claim 9,
    상기 설비이상 판단단계는 The equipment abnormality judgment step
    상기 온도산출 단계 이후에, 현재온도가 체온 범위 내에 포함되는 경우 이상 온도가 발생하지 않은 것으로 판단하는 체온 판단단계를 더 포함하는, 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템의 동작방법.After the temperature calculation step, further comprising a body temperature determination step of determining that no abnormal temperature has occurred when the current temperature is within the body temperature range, the thermal imaging camera detects and expresses the abnormal temperature at the industrial site and generates an alarm. How the notification system works.
  11. 청구항 9에 있어서, The method of claim 9,
    상기 설비이상 판단단계는 The equipment abnormality judgment step
    상기 온도산출 단계 이후에, 현재온도가 저온 한계값과 고온 한계값 사이에 포함되지 않는 경우 이상 온도가 존재하는 것으로 판단하는 한계 판단단계를 더 포함하는, 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템의 동작방법.After the temperature calculation step, further comprising a limit determination step of determining that an abnormal temperature exists when the current temperature is not included between the low temperature limit value and the high temperature limit value, detecting the abnormal temperature at the industrial site with a thermal imaging camera. and a method of operating the system for displaying and alerting by generating an alarm.
  12. 청구항 9에 있어서, The method of claim 9,
    상기 설비이상 판단단계는 The equipment abnormality judgment step
    상기 온도산출 단계 이후에, 현재시간이 정상상태 적응기간 이전인 경우 현재온도를 정상온도로서 저장부에 누적하여 저장하고, 누적된 정상온도를 평균하여 정상온도를 산출하는 정상온도 생성단계를 더 포함하는, 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템의 동작방법.After the temperature calculation step, a normal temperature generation step of accumulating and storing the current temperature as a normal temperature in a storage unit when the current time is before the steady state adaptation period, and calculating the normal temperature by averaging the accumulated normal temperatures is further included. A method of operating a system that detects and expresses an abnormal temperature at an industrial site with a thermal imaging camera and generates an alarm.
  13. 청구항 8에 있어서, The method of claim 8,
    상기 영상 생성 단계 이전에 수행되며, 프레임의 구역, 기준편차, 고온 한계값, 저온 한계값, 정상온도, 판단 기준시간, 정상상태 적응기간 중에서 하나 이상을 설정하는 변수 설정단계를 더 포함하는, 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템의 동작방법.It is performed before the image generating step, and further comprising a variable setting step of setting one or more of the area of the frame, the standard deviation, the high temperature limit value, the low temperature limit value, the normal temperature, the judgment reference time, and the steady state adaptation period. A method of operating a system that detects and expresses an abnormal temperature at an industrial site with a video camera and generates an alarm.
  14. 청구항 9에 있어서, The method of claim 9,
    상기 편차 판단단계 이후에, 타이머를 이용하여 이상 온도가 존재하는 프레임 또는 시간을 카운팅하고, 타이머의 누적값이 판단 기준시간에 도달하는 경우 설비이상 이벤트가 발생한 것으로 판단하는 이벤트 판단단계를 더 포함하는, 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템의 동작방법.After the deviation determination step, an event determination step of counting frames or times in which the abnormal temperature exists using a timer and determining that an equipment abnormality event has occurred when the accumulated value of the timer reaches the determination reference time , Operating method of a system that detects and expresses an abnormal temperature at an industrial site with a thermal imaging camera and generates an alarm.
  15. 청구항 8항에 있어서, The method of claim 8,
    상기 알림단계는 The notification step is
    전자메일을 통해 설비이상 이벤트를 전달하며, 이상 온도가 발생한 구역에 대한 정보를 전자메일 본문에 포함하고, 열화상의 프레임 이미지에 이상 온도가 발생한 픽셀을 표시한 이미지를 포함하는, 열화상 카메라로 산업현장의 이상 온도를 감지 및 표현하고 경보를 발생시켜 알리는 시스템의 동작방법.Facility failure events are delivered via e-mail, information on the area where the abnormal temperature occurred is included in the body of the e-mail, and the frame image of the thermal image includes an image displaying pixels where the abnormal temperature occurred. A method of operating a system that detects and expresses an abnormal temperature in the field and issues an alarm.
PCT/KR2021/017279 2021-10-29 2021-11-23 System for detecting and expressing abnormal temperature at industrial site by using thermal imaging camera and generating alarm to inform of same, and operation method thereof WO2023074995A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR1020210147174A KR102650169B1 (en) 2021-10-29 2021-10-29 System for detecting and expressing abnormal temperature in industrial sites using thermal image camera and generating an alarm to notify, and operation method thereof
KR10-2021-0147174 2021-10-29

Publications (1)

Publication Number Publication Date
WO2023074995A1 true WO2023074995A1 (en) 2023-05-04

Family

ID=86160038

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2021/017279 WO2023074995A1 (en) 2021-10-29 2021-11-23 System for detecting and expressing abnormal temperature at industrial site by using thermal imaging camera and generating alarm to inform of same, and operation method thereof

Country Status (2)

Country Link
KR (1) KR102650169B1 (en)
WO (1) WO2023074995A1 (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100844961B1 (en) * 2006-11-14 2008-07-09 주식회사 케이디파워 Method and system for automatically diagnosing electronic equipment using pattern recognition of thermal image
KR101417765B1 (en) * 2014-02-07 2014-07-14 (주)지디일렉스 A deterioration diagnosing system for a distributing board using the IR image of 2 Dimensional thermopile array and the method thereof
KR101570640B1 (en) * 2015-02-03 2015-11-20 주식회사 주왕산업 Remote monitoring system for high voltage package switchgear, low voltage package switchgear, distribute board, motor control center using the thermal imaging camera
KR20160141273A (en) * 2015-05-29 2016-12-08 주식회사 효성 Remote Monitoring System of Thermal burn Image and the method thereof
KR20210063715A (en) * 2019-11-25 2021-06-02 세메스 주식회사 System and method of monitoring temperature of logistics storage device

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5926816B2 (en) * 2011-12-21 2016-05-25 テレコム・イタリア・エッセ・ピー・アー System and method for indoor temperature monitoring
KR20150050752A (en) 2013-10-31 2015-05-11 한국기계연구원 Spot monitoring appratus having thermo-graphic camera

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100844961B1 (en) * 2006-11-14 2008-07-09 주식회사 케이디파워 Method and system for automatically diagnosing electronic equipment using pattern recognition of thermal image
KR101417765B1 (en) * 2014-02-07 2014-07-14 (주)지디일렉스 A deterioration diagnosing system for a distributing board using the IR image of 2 Dimensional thermopile array and the method thereof
KR101570640B1 (en) * 2015-02-03 2015-11-20 주식회사 주왕산업 Remote monitoring system for high voltage package switchgear, low voltage package switchgear, distribute board, motor control center using the thermal imaging camera
KR20160141273A (en) * 2015-05-29 2016-12-08 주식회사 효성 Remote Monitoring System of Thermal burn Image and the method thereof
KR20210063715A (en) * 2019-11-25 2021-06-02 세메스 주식회사 System and method of monitoring temperature of logistics storage device

Also Published As

Publication number Publication date
KR102650169B1 (en) 2024-03-22
KR20230062176A (en) 2023-05-09

Similar Documents

Publication Publication Date Title
WO2020235819A1 (en) Image-based real-time intrusion detection method and surveillance camera using artificial intelligence
WO2014196721A1 (en) System and method for detecting fire using synthetic images
WO2012064115A2 (en) Real-time fire-monitoring system using a closed-circuit television camera, and method therefor
WO2014061964A1 (en) Fire detection method and apparatus
WO2015190744A1 (en) Image heat ray device and intrusion detection system using same
WO2012046899A1 (en) Image-monitoring device and method for detecting events therefor
WO2012124852A1 (en) Stereo camera device capable of tracking path of object in monitored area, and monitoring system and method using same
WO2018135906A1 (en) Camera and image processing method of camera
WO2016099084A1 (en) Security service providing system and method using beacon signal
WO2022071756A1 (en) Fire protection method and fire protection system
WO2021020866A1 (en) Image analysis system and method for remote monitoring
WO2017090892A1 (en) Osd information generation camera, osd information synthesis terminal (20), and osd information sharing system comprising same
WO2021261656A1 (en) Apparatus and system for providing security monitoring service based on edge computing, and operation method therefor
WO2012050244A1 (en) Image-monitoring device and method for searching for objects therefor
KR20200139987A (en) Apparatus and method for detecting invader and fire for energy storage system
WO2018097384A1 (en) Crowdedness notification apparatus and method
WO2023074995A1 (en) System for detecting and expressing abnormal temperature at industrial site by using thermal imaging camera and generating alarm to inform of same, and operation method thereof
GB2535728A (en) Information system and method
WO2022097805A1 (en) Method, device, and system for detecting abnormal event
WO2022019601A1 (en) Extraction of feature point of object from image and image search system and method using same
WO2023074994A1 (en) Collapse detection monitoring camera system at industrial site, and operating method therefor
KR102030767B1 (en) Measuring system and method of electrical equipment aging degree using cctv camera
WO2020111353A1 (en) Method and apparatus for detecting privacy invasion equipment, and system thereof
EP3062220A1 (en) Information system and method
JP2001224011A (en) Abnormality supervisory method and 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: 21962618

Country of ref document: EP

Kind code of ref document: A1