KR102219598B1 - Fire monitoring system for field equipment - Google Patents

Abstract

The present invention relates to a fire monitoring system for equipment which is configured to distinguish occurrence of an event that shows fire prediction and detection of an equipment field by using an imaging camera and transmit information related to the occurred event to a manager terminal in case of the event, so that fire of the equipment field can be prevented in advance, fire can be rapidly responded in case of fire, and stored thermal images can be used for monitoring and as evidence. The fire monitoring system is configured to enable pan-tilt rotation and magnification (focus) control of a thermal image camera and make the thermal image camera normally take the entire image of the equipment field but zoom and take a risk candidate group when the risk candidate group is detected, so that accuracy and reliability for judging the occurrence of the event can be drastically increased. The fire monitoring system is configured to judge the final event occurrence by analyzing the zoomed thermal image acquired by the zooming and taking of the thermal image camera and detect identification information and location information in the field of a corresponding part so that a manager not only simply gets information related to the occurrence of the event but also immediately recognizes accurate location in the field, a machine tool, and a part where the event occurs.

Description

Fire monitoring system for field equipment

The present invention relates to a fire monitoring system for facilities, and in detail, a fire monitoring system for facilities for accurately and quickly predicting and detecting a fire in advance using a thermal imaging camera and at the same time promptly responding to it It is about.

Thermal imaging camera is a device that collects infrared wavelengths emitted from the inherent radiant energy generated by a subject and converts the output electrical signal into an image or image that can be recognized by humans.For surveillance, industrial, research, medical, and military use It is widely used for various purposes such as.

In particular, thermal imaging cameras are widely used in fire monitoring and monitoring systems due to the advantage of acquiring an image representing a two-dimensional temperature distribution of a subject. Accordingly, it is used in fire monitoring, fire prediction, and fire alarm systems using thermal imaging cameras. There are various studies on the subject.

1 is a block diagram showing a fire prevention device disclosed in Korean Patent Registration No. 10-1946336 (name of the invention: machine tool fire prevention device and its control method).

The fire prevention device (hereinafter referred to as the prior art) 100 of FIG. 1 includes an image camera unit 101 that provides real-time image information of machine tools and peripherals, and a heat sensation that detects whether or not a certain temperature of the machine tools and peripherals reaches a certain temperature. A paper device unit 102, a thermal imaging camera unit 103 for photographing a real-time image by expressing the machine tool and its surroundings in different colors according to temperature, and a machine tool control unit 104 capable of controlling the operation of the machine tool. , A status information unit 105 that provides information on the processing progress of the machine tool and equipment operation status, and a wired/wireless network connection unit 106 that enables data transmission and reception by connecting each component by wire or wireless, and each component A comprehensive management server that checks the status information by synthesizing negative data and performs operation management at the same time, and sends text notifications to the internal manager terminal 111, the fire control agency 112, and the external manager terminal 113 when a situation occurs. 107).

The prior art 100 configured as described above is based on the data acquired by the thermal sensing device unit 102 and the thermal imaging camera unit 103, such as mechanical shock, friction, malfunction, etc. When the heat above the standard that can be generated by the product continues for a certain period of time, the resulting fire risk can be quickly detected, and when a fire is detected, a notification is sent to the manager and the machine operation is controlled to quickly respond to the fire. It has the advantage of being able to.

In general, a plurality of machine tools that perform a process according to a process line are installed in various facility sites, and each of these machine tools is formed by assembling a plurality of parts, thereby performing a process according to the process line. At this time, each factory machine has a different heating temperature depending on the process, function and operation. For example, in the case of a high-temperature nozzle, a part of a machine tool that injects a high-temperature gas into a process object, a relatively high heating temperature is emitted, and in the case of a freon gas nozzle, a part of a process machine for cooling the process object, It emits a low heating temperature.

However, the prior art 100 does not take into account the different characteristics of the heating temperature for each part for each machine tool, and simply judges whether a fire occurs according to whether or not a fixed set temperature is higher for all parts. There is a problem of poor reliability, and this error has a disadvantage of increasing time and human waste by causing unnecessary follow-up response (visiting a manager on-site, dispatching a fire engine, etc.).

In addition, in the prior art 100, since fire detection and follow-up response are performed only by the current temperature detected by the thermal imaging camera unit 103, there is a problem that the fire cannot be predicted before the fire is detected.

In addition, even if a fire is detected, the prior art 100 simply transmits information that a fire has been detected to the internal manager terminal 111, the fire control agency 112, and the external manager terminal 113. In order to recognize where the area is, it is necessary to recognize the location by arriving at the site or reading the video directly, and accordingly, the speed of follow-up response is poor.

The present invention is to solve such a problem, and the problem of the present invention is to determine whether an event indicating fire prediction and detection of a facility site occurs using an image camera, and at the same time, when an event occurs, the event generated by the manager terminal is By being configured to transmit related information, it is possible not only to prevent fire at the facility site in advance, but also to quickly respond to it in the event of a fire, and a fire monitoring system for facilities that can monitor and use stored thermal images as evidence. To provide.

In addition, another problem of the present invention is that the thermal imaging camera is configured to enable pan-tilt rotation and magnification (focus) control, and at the same time, the thermal imaging camera photographs the entire facility site in peacetime, but when a dangerous candidate is detected, a risk candidate It is to provide a fire monitoring system for facilities that can significantly increase the accuracy and reliability of determining whether or not an event occurs by being configured to take an enlarged photograph.

In addition, another problem of the present invention is to determine whether a final event has occurred by analyzing the magnified thermal image acquired by magnification of the thermal imaging camera, but the manager is configured to detect the identification information of the corresponding part and the location information in the field. The purpose is to provide a fire monitoring system for facilities that can immediately recognize the exact location of the site, machine tools and parts where the event occurred, rather than simply receiving information on whether an event occurred.

The solution means of the present invention for solving the above problem is a machine tool (4) which is installed according to the process line of the facility site, and includes a plurality of parts; A manager terminal 9 possessed by the manager of the facility site; A thermal imaging camera 303 that collects thermal energy emitted from the subject of the facility site to acquire a thermal image, and an event that means predicting and detecting fire by analyzing the thermal image acquired by the thermal imaging camera 303 A photographing unit 3 including a controller 301 for determining whether or not; It manages and controls the machine tools 4, and includes an HMI (Human Machine Interface) 5 that outputs alarm information to the outside when detailed event information, which is information indicating that an event has occurred, is received from the photographing unit 3, and , When the HMI 5 receives event detailed information from the photographing unit 3, it transmits the event detailed information to a preset manager terminal, and the thermal imaging camera 303 rotates a pan-tilt. And magnification (focus) control is possible, and in peacetime, a monitoring thermal image (P), which is a thermal image of the entire facility site, is acquired, and the controller 301 is a monitoring acquired by the thermal imaging camera 303 After analyzing the thermal image (P) to detect temperature values for each pixel, each of the detected temperature values is compared with a preset set temperature (TH), and pixels having temperatures above the set temperature (TH) for a critical time are Risk candidate group determination unit 35 to determine the risk candidate group; For detecting the pan-tilt rotation angle and magnification of the thermal imaging camera 303 required for magnifying specific pixels in the pan-tilt angle when the thermal imaging camera 303 photographs the surveillance thermal image P After detecting the pan-tilt rotation angle and magnification (focus) information required to enlarge the risk candidate group detected by the risk candidate group determination unit 35 using a preset rotation angle and focus detection algorithm, which is an algorithm, the detected A control data generator 36 for generating control data including pan-tilt rotation angle and magnification (focus) information; And a control unit 31 for outputting the control data generated by the control data generating unit 36 to the thermal imaging camera 303, and the thermal imaging camera 303 receives control data from the controller 301. Upon receiving input, pan-tilt rotation according to the pan-tilt rotation angle of the input control data, and at the same time, the magnification (focus) is controlled according to the magnification (focus) of the input control data. Acquires a thermal image (P'), transmits the acquired enlarged thermal image to the controller 301, and the controller 301 generates a memory 32, an event occurrence determination unit 37, and event detail information Further comprising a unit 38, the memory 32, the identification name of each of the parts for each machine tool, and when the thermal imaging camera 303 photographs the monitoring thermal image (P), the pixel position information of the corresponding part. A reference table in which the indicated pixel location information and the detailed set temperature (TH'), which is the minimum temperature value that can be judged that a fire is predicted or detected in the corresponding part, is matched in consideration of the process characteristics of the part, is preset and stored, The event occurrence determination unit 37 includes an enlarged thermal image analysis module 371 for analyzing an enlarged thermal image P'input from the thermal imaging camera 303; After detecting the temperature value of each pixel using the analysis data detected by the magnified thermal image analysis module 371, after excluding pixels having a temperature value less than a threshold value, an average value of the temperature values of the remaining pixels is calculated. A second pixel-specific temperature value detection module 372; A parts identification module 373 for searching the reference table and extracting data on a part having pixel position information including pixel position information of the dangerous candidate group detected by the risk candidate group determination unit 35; A second comparison module 375 for comparing the detailed set temperature TH' of the corresponding part from the data extracted by the part identification module 373 and an average value calculated by the second temperature value detection module for each pixel; The second comparison module 375 includes an event occurrence determination module 375 that determines that an event has occurred when the average value is greater than or equal to the detailed set temperature TH', and the event detail information generation unit 38 includes the Executed when it is determined that an event has occurred by the event occurrence determination module 376, and generates event detailed information including identification information, temperature average value, and event details of the part where the event has occurred, and the control unit 31 The detailed event information generated by the detailed event information generating unit 38 is transmitted to the HMI 5.

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In addition, in the present invention, the controller 301 transmits the thermal image obtained by the thermal imaging camera 303 to the HMI 5, and the HMI 5 transmits the thermal image received from the thermal imaging camera 303. It is desirable to save the image.

In addition, in the present invention, the facility fire monitoring system 1 further includes a central management server 7, and the central management server 7 receives and stores thermal images from the HMI 5 and stores the HMI ( When receiving detailed event information from 5), it is preferable to transmit the detailed event information to the manager terminal 9.

According to the present invention having the above problems and solutions, it is configured to use an image camera to determine whether an event indicating fire prediction and detection at the facility site has occurred, and to transmit information related to the event to the manager terminal when an event occurs. As a result, it is possible not only to prevent a fire at the facility site in advance, but also to quickly respond to it in the event of a fire, and to monitor and use the stored thermal image as evidence.

In addition, according to the present invention, the thermal imaging camera is configured to enable pan-tilt rotation and magnification (focus) control, and at the same time, the thermal imaging camera photographs the entire facility site in peacetime, but when a risk candidate is detected, the risk candidate is enlarged. By being configured to do so, it is possible to remarkably increase the accuracy and reliability of determining whether an event occurs.

In addition, according to the present invention, by analyzing the magnified thermal image acquired by the magnification of the thermal imaging camera to determine whether the final event has occurred, the manager is configured to detect the identification information of the corresponding part and the location information in the field. In addition to receiving only information about the event, it is possible to immediately recognize the exact location of the site, machine tool and parts where the event occurred.

1 is a block diagram showing a fire prevention device disclosed in Korean Patent Registration No. 10-1946336 (name of invention: machine tool fire prevention device and its control method).
Figure 2 is a block diagram showing a fire monitoring system for equipment according to an embodiment of the present invention.
3 is a block diagram illustrating a photographing unit of FIG. 2.
4 is a block diagram illustrating the controller of FIG. 3.
5 is a block diagram showing a risk candidate group determination unit of FIG. 4.
6 is a block diagram illustrating an event occurrence determination unit of FIG. 4.

Hereinafter, an embodiment of the present invention will be described with reference to the accompanying drawings.

Figure 2 is a block diagram showing a fire monitoring system for equipment according to an embodiment of the present invention.

As shown in FIG. 2, the fire monitoring system 1 for facilities, which is an embodiment of the present invention, consists of a plurality of parts 40 and is installed at the facility site to perform a process according to a process line ( 4) and the HMI (Human Machine Interface) (5-1), ..., (5-N), which manages and controls the process of machine tools (4) and provides an interface with the operator, and the sensing area (S) A photographing unit (3) and a photographing unit (3), which include a thermal imaging camera that collects infrared wavelengths emitted from the facility site to acquire thermal images, and analyzes the acquired thermal images to predict and detect fires. The thermal images acquired by the HMI (5-1), ..., (5-N) are transmitted and stored. At the same time, when an event occurs in which a fire is predicted or detected by the photographing unit (3), the corresponding HMI ( The central management server 7 that receives information on event occurrence from 5) and performs follow-up procedures, and a terminal possessed by the administrator for each facility site, and when an event occurs at the facility site, central management Between the manager terminal (9) receiving event-related information from the server (7), the central management server (7), the manager terminal (9) and HMI (5-1), ..., (5-N) It consists of a communication network 10 providing a data movement path.

At this time, although not shown in the drawing, the photographing unit 3 and the HMI 5 are connected through a wired or wireless communication network to support data communication.

In addition, in the present invention, for convenience of explanation, the central management server 7 stores the data transmitted from the HMIs 5-1, ..., and 5-N, and when an event occurs, the manager of the relevant facility site It has been described as an example as sending event-related information to the terminal 9, but the subsequent procedures for storing such data and event occurrence are performed by HMI(5-1), ..., (5-N) themselves. Or, it is natural that separate local servers may be installed at each facility site and configured to run on the local server.

The communication network 10 provides a data movement path between the central management server 7, the HMI 5-1, ..., (5-N) and the manager terminal 9, and in detail, a wide area communication network It can be composed of (WAN), mobile communication network, wired communication network, data communication network, LTE, 3G, 4G, 5G, etc.

3 is a block diagram illustrating a photographing unit of FIG. 2.

The photographing unit 3 includes a controller 301 and a thermal imaging camera 303, as shown in FIG. 3.

The thermal imaging camera 303 is a device that collects infrared wavelengths emitted from unique radiant energy generated by a subject (hereinafter referred to as photographing) and converts the output electrical signal into an image or image that can be recognized by humans. The set area (S) is photographed to obtain a monitoring thermal image (P), which is a thermal image of the entire area (S). At this time, the monitoring thermal image P obtained by the thermal imaging camera 303 is output to the controller 301.

In addition, the thermal imaging camera 303 is combined with a pan-tilt driver (not shown) to enable pan-tilt rotation, and at the same time, a focus (magnification) control function and a magnification (focus) control function are supported. It is configured to be.

Therefore, when the thermal imaging camera 303 receives control data from the controller 301, pan-tilt rotation and control the focus at a high magnification according to the input control data to accurately (magnify) the risk candidate group, Thermal imaging is performed to obtain an enlarged thermal image P', which is an enlarged thermal image of the dangerous candidate group, and outputs the acquired enlarged thermal image P'to the controller 301.

At this time, the risk candidate group refers to pixels determined by the controller 301 to have a high risk for predicting and detecting fire in the entire thermal image P.

That is, the thermal imaging camera 303 is photographed at a low magnification so that all of the preset areas S are included in the thermal image in peacetime to obtain a surveillance thermal image P, but when a dangerous candidate group is detected by the controller 301, After pan-tilt rotation so that the risk candidate group is enlarged, it is photographed at high magnification to obtain an enlarged thermal image (P').

4 is a block diagram illustrating the controller of FIG. 3.

The controller 301 of FIG. 4 manages and controls the thermal imaging camera 303 and transmits and receives data with the HMI 5 at the same time, and analyzes the thermal image acquired by the thermal imaging camera 303 to determine whether an event has occurred. It is a controller that determines.

In addition, as shown in FIG. 4, the controller 30 includes a control unit 31, a memory 32, a communication interface unit 33, a data input/output unit 34, a risk candidate group determination unit 35, and control data generation. It consists of a unit 36, an event occurrence determination unit 37, and an event detailed information generation unit 38.

The control unit 31 is an O.S (Operating System) of the controller 301, and manages and controls the control targets 32, 33, 34, 35, 36, and 37.

In addition, the control unit 31 inputs the monitoring thermal image P input from the thermal imaging camera 303 through the data input/output unit 34 to the risk candidate group determination unit 35, and by the risk candidate group determination unit 35 When it is determined that the risk candidate group has been detected and the risk candidate group pixel information is detected, the detected risk candidate group pixel information is input to the control data generator 36.

In addition, when the control data is generated by the control data generating unit 36, the control unit 31 causes the control data generated through the data input/output unit 34 to be output to the thermal imaging camera 303.

In addition, the control unit 31 inputs the enlarged thermal image P'input from the thermal imaging camera 303 through the data input/output unit 34 to the event occurrence determination unit 37, and the event occurrence determination unit 37 If it is determined that an event has occurred by ), the detailed event information generation unit 38 is executed.

In addition, when the event detailed information is generated by the event detailed information generating unit 38, the control unit 31 transmits the generated event detailed information to the HMI 5 through the communication interface unit 33.

In addition, the control unit 31 controls the communication interface unit 33 to periodically transmit the monitored deterioration P and the enlarged thermal image P'temporarily stored in the memory 32 to the HMI 5.

In the memory 32, a surveillance thermal image P and an enlarged thermal image P'acquired by the thermal imaging camera 303 are temporarily stored.

In addition, the memory 32 stores a preset temperature (TH, Threshold) and a threshold time. At this time, the set temperature (TH) means a pixel temperature value that can be determined as a risk candidate group in the monitoring thermal image (P), and the threshold time is determined as a risk candidate group among pixels having a pixel temperature value equal to or higher than the set temperature (TH). It means the duration that can be done.

In addition, a rotation angle and a focus detection algorithm are preset and stored in the memory 32. At this time, the rotation angle and focus detection algorithm is an algorithm that detects the pan-tilt rotation angle and magnification required for magnifying the risk candidate group at the current pan-tilt angle of the thermal imaging camera 303.

In addition, the memory 32 stores a reference table in which identification names, pixel position information, and detailed set temperature TH' of each part are matched for each machine tool. At this time, the pixel location information indicates pixel location information of each of the parts for each machine tool when the thermal imaging camera 303 photographs the monitoring thermal image P, and the detailed setting temperature TH' takes into account the process characteristics of the corresponding part. Therefore, it is defined as the minimum temperature at which it can be determined that a fire is predicted or detected in the component. For example,'A' part using high temperature gas may have a detailed set temperature of '60℃' due to process characteristics, and'B' part using low temperature gas may have a detailed set temperature of '10℃' due to process characteristics. Can be set to

For example, in the reference table, {chucking means (identification name), x, y (pixel position information), 50°C (detailed setting temperature)) of the second servo and robot of the primary injection molding machine may be matched and stored. .

The communication interface unit 33 transmits and receives data to and from the HMI 5.

The data input/output unit 34 inputs and outputs data to and from the thermal imaging camera 303.

5 is a block diagram showing a risk candidate group determination unit of FIG. 4.

As shown in FIG. 5, the risk candidate group determination unit 35 includes a monitoring thermal image analysis module 351, a temperature value detection module for each pixel 352, a comparison module 353, and a risk candidate group detection module 354. Done.

The surveillance thermal image analysis module 351 analyzes the surveillance thermal image P input from the thermal imaging camera 303.

The temperature value detection module 352 for each pixel detects the temperature value of each pixel by using the analysis data detected by the monitoring thermal image analysis module 351.

The comparison module 353 compares the temperature values for each pixel detected by the temperature value detection module 352 for each pixel with a preset temperature TH.

The risk candidate group detection module 354 determines 1) a pixel having a temperature value lower than the set temperature TH as a normal group by the comparison module 354, and 2) a pixel having a temperature value higher than the set temperature TH. Among them, pixels whose state lasts longer than the critical time are judged as risk candidates.

The pixel location information detection module 355 is executed when a risk candidate group is detected by the risk candidate group detection module 354, and detects pixel location information of the detected risk candidate group.

At this time, when the pixel position information of the dangerous candidate group is detected by the pixel position information detection module 355, the control unit 31 inputs the detected pixel position information to the control data generation unit 36.

The control data generation unit 36 is executed when receiving pixel position information of the dangerous candidate group from the risk candidate group determination unit 35 under the control of the control unit 31.

In addition, the control data generation unit 36 uses the rotation angle and focus detection algorithm stored in the memory 32, and includes pan-tilt rotation angle and magnification information necessary for enlarged photographing of the risk candidate group having the input pixel position information. Create control data.

At this time, the control data generated by the control data generating unit 36 is output to the thermal imaging camera 303 through the data input and output unit 34 under the control of the controller 31, and the thermal imaging camera 303 is a controller ( 301), according to the input control data, pan-tilt rotation and high magnification focus control are performed, and then thermal imaging is performed to acquire an enlarged thermal image (P') of the risk candidate. The enlarged thermal image P'is output to the controller 301.

6 is a block diagram illustrating an event occurrence determination unit of FIG. 4.

As shown in FIG. 6, the event occurrence determination unit 37 includes an enlarged thermal image analysis module 371, a second pixel-specific temperature value detection module 372, a component identification module 373, and a data extraction module ( 374), a comparison module 375, and an event occurrence determination module 376.

The magnified thermal image analysis module 371 analyzes the magnified thermal image P'input from the thermal imaging camera 303.

The second temperature value detection module 372 for each pixel detects the temperature value of each pixel using the analysis data detected by the magnified thermal image analysis module 371, and then excludes pixels having a temperature value less than a threshold value. After that, an average value of the temperature values of the remaining pixels is calculated.

The parts identification module 373 extracts the pixel position information of the dangerous candidate group, which is the target of the corresponding enlarged thermal image, detected by the pixel position information detection module 355 of FIG. 5 described above, and then the pixel position of the reference table stored in the memory 32 By searching the information and detecting a part having pixel position information including the pixel position information of the risk candidate group extracted, the risk candidate group identifies which part of which machine tool is.

The data extraction module 374 extracts data on the part identified by the part identification module 373 with reference to the reference table.

The comparison module 375 compares the average value calculated by the second temperature value detection module 372 for each pixel with the detailed set temperature TH1 in the data of the corresponding part extracted by the data extraction module 374.

In the comparison module 375, the event occurrence determination module 376 determines that 1) if the average value is less than the detailed set temperature (TH1), determines that no event has occurred, and 2) if the average value is above the detailed set temperature (TH), the event Is determined to have occurred.

At this time, when it is determined that an event has occurred by the event occurrence determination module 376, the control unit 31 executes the event detail information generation unit 38.

That is, the present invention first selects the risk candidate group, and then identifies the selected risk candidate group, in consideration of the characteristics of parts having different set temperatures that can be determined that the event of fire prediction and detection has occurred in the process characteristics, It is possible to remarkably improve the reliability and accuracy of fire prediction and detection by comparing the detailed set temperature in consideration of the process characteristics of the identified parts with the temperature value detected from the expanded thermal image of the risk candidate group to determine whether an event has occurred.

When it is determined by the event occurrence determination unit 37, the event detailed information generation unit 38 is executed under the control of the control unit 31, identification information of the part where the event has occurred, and the current temperature. , Event details including event content, etc. are created.

At this time, the detailed event information generated by the detailed event information generation unit 38 is transmitted to the HMI 5.

HMI (5) is a computer that monitors and controls machine tools (4) that are normally installed in industrial sites and installed along the process line, and manages and controls the machine tools (4) according to the request input from the user, and It is a device that displays the operating state of the machine 4, sensing values, etc. according to the user's request. In this case, the HMI 5 preferably includes a touch screen panel through which data input and display can be easily performed.

In addition, the HMI 5 is provided with a communication interface unit capable of transmitting and receiving data with the central management server 7 by connecting to the communication network 10.

In addition, the HMI 5 stores the thermal images periodically transmitted from the photographing unit 3 and transmits them to the central management server 7 at the same time.

In addition, when the HMI 5 receives detailed event information from the photographing unit 3, it transmits the received event detailed information to the central management server 7 and outputs preset alarm information to the outside. At this time, various methods such as warning broadcasting, warning sound, and LED lighting can be applied as a method of outputting alarm information to the outside.

When the central management server 7 receives the thermal image transmitted from the HMI (5-1), ..., (5-N), it stores the transmitted thermal image.

In addition, the central management server 7 stores personal information, contact information, terminal identification information, etc. of managers at each site.

In addition, when the central management server 7 receives event detailed information from HMIs (5-1), ..., (5-N), it analyzes the received event detailed information and the manager terminal ( 9) Send event detailed information. At this time, as a method of transmitting detailed event information of the manager terminal 9, various known methods such as SMS and a pop-up method using an application may be applied.

As described above, the fire monitoring system 1 for facilities, which is an embodiment of the present invention, uses the image camera 303 to determine whether an event indicating fire prediction and detection at the facility site has occurred, and when an event occurs, the manager terminal 9 ), by being configured to transmit information related to the event that occurred in the facility, it is possible to prevent fire at the facility site in advance, and in the event of a fire, it is possible to quickly respond to it, and to monitor and use the stored thermal image as evidence. do.

In addition, in the fire monitoring system 1 for facilities of the present invention, the thermal imaging camera 303 is configured to enable pan-tilt rotation and magnification (focus) control, while the thermal imaging camera 303 photographs the entire facility site during peacetime. However, when a risk candidate group is detected, it is configured to take an enlarged photograph of the risk candidate group, thereby remarkably increasing the accuracy and reliability of determining whether an event has occurred.

In addition, the fire monitoring system 1 for facilities of the present invention analyzes the magnified thermal image P'acquired by magnification of the thermal imaging camera 303 to determine whether a final event has occurred, but the identification information of the corresponding part, By being configured to detect location information in the field, the manager can not only receive information on whether an event has occurred, but can immediately recognize the exact location in the field, machine tools, and parts where the event occurred.

1: Fire monitoring system for equipment 3: Filming
4: Machine tool 5-1, ..., 5-N: HMIs 7: Central management server
9: administrator terminal 10: communication network 31: control unit
32: memory 33: communication interface unit 34: data input/output unit
35: risk candidate group identification unit 36: control data generation unit
37: event occurrence determination unit 38: event detailed information generation unit
40: parts 301: controller
303: thermal imaging camera 351: monitoring thermal image analysis module
352: temperature value detection module for each pixel 353: comparison module
354: dangerous candidate group detection module 355: pixel location information detection module
371: magnified thermal image analysis module 372: temperature value detection module for each second pixel
373: parts identification module 374: data extraction module
375: comparison module 376: event occurrence determination module

Claims (5)

Doedoe installed according to the process line of the facility site, machine tools (4) including a plurality of parts;
A manager terminal 9 possessed by the manager of the facility site;
A thermal imaging camera 303 that collects thermal energy emitted from the subject of the facility site to acquire a thermal image, and an event that means predicting and detecting fire by analyzing the thermal image acquired by the thermal imaging camera 303 A photographing unit 3 including a controller 301 for determining whether or not;
It manages and controls the machine tools 4, and includes an HMI (Human Machine Interface) 5 that outputs alarm information to the outside when detailed event information, which is information indicating that an event has occurred, is received from the photographing unit 3, and ,
When the HMI 5 receives detailed event information from the photographing unit 3, it transmits the detailed event information to a preset manager terminal,
The thermal imaging camera 303 is configured to enable pan-tilt rotation and magnification (focus) control, and acquires a monitoring thermal image (P), which is a thermal image of the entire facility site, in peacetime,
The controller 301 is
After analyzing the surveillance thermal image P acquired by the thermal imaging camera 303 to detect each pixel temperature value, each of the detected temperature values is compared with a preset temperature TH for a critical time. A risk candidate group determination unit 35 for discriminating pixels having temperature values equal to or higher than the set temperature TH as a risk candidate group;
For detecting the pan-tilt rotation angle and magnification of the thermal imaging camera 303 required for magnifying specific pixels in the pan-tilt angle when the thermal imaging camera 303 photographs the surveillance thermal image P After detecting the pan-tilt rotation angle and magnification (focus) information required to enlarge the risk candidate group detected by the risk candidate group determination unit 35 using a preset rotation angle and focus detection algorithm, which is an algorithm, the detected A control data generator 36 for generating control data including pan-tilt rotation angle and magnification (focus) information;
And a control unit 31 for outputting the control data generated by the control data generating unit 36 to the thermal imaging camera 303,
When the thermal imaging camera 303 receives control data from the controller 301, it rotates the pan-tilt according to the pan-tilt rotation angle of the input control data and at the same time according to the magnification (focus) of the input control data. After controlling the magnification (focus), photographing is performed to obtain an enlarged thermal image (P') for the dangerous candidate group, and transmits the acquired enlarged thermal image to the controller 301,
The controller 301 further includes a memory 32, an event occurrence determination unit 37, and an event detailed information generation unit 38,
In the memory 32
In consideration of the identification name of each part for each machine tool, pixel position information indicating pixel position information of the part when the thermal imaging camera 303 photographs the monitoring thermal image P, and the process characteristics of the part The reference table in which the detailed set temperature (TH'), which is the minimum temperature value that can be judged that a fire is predicted or detected in the part, is set and stored,
The event occurrence determination unit 37
An enlarged thermal image analysis module 371 for analyzing an enlarged thermal image P'input from the thermal imaging camera 303;
After detecting the temperature value of each pixel using the analysis data detected by the magnified thermal image analysis module 371, after excluding pixels having a temperature value less than a threshold value, an average value of the temperature values of the remaining pixels is calculated. A second pixel-specific temperature value detection module 372;
A parts identification module 373 for searching the reference table and extracting data on a part having pixel position information including pixel position information of the dangerous candidate group detected by the risk candidate group determination unit 35;
A second comparison module 375 for comparing the detailed set temperature TH' of the corresponding part from the data extracted by the part identification module 373 and an average value calculated by the second temperature value detection module for each pixel;
And an event occurrence determination module 376 that determines that an event has occurred when the average value is greater than or equal to the detailed set temperature TH' in the second comparison module 375,
The event detail information generation unit 38 is executed when it is determined that an event has occurred by the event occurrence determination module 376, and event details including identification information, temperature average value, and event details of the part where the event has occurred. Generate information,
The control unit 31 transmits the detailed event information generated by the detailed event information generation unit 38 to the HMI (5). delete delete The method of claim 1, wherein the controller 301 transmits the thermal image acquired by the thermal imaging camera 303 to the HMI 5,
The HMI (5) is a facility fire monitoring system (1), characterized in that storing the thermal image transmitted from the thermal imaging camera (303). The method of claim 4, wherein the facility fire monitoring system (1) further comprises a central management server (7),
The central management server (7) receives and stores the thermal image from the HMI (5), and transmits event detailed information to the manager terminal (9) when receiving event detailed information from the HMI (5). Fire monitoring system (1).

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