KR102538682B1 - Intelligent Real-Time Video Combined Thermal Imaging Detection System - Google Patents

Abstract

The present invention enables intelligent real-time detection of the initial occurrence of a fire, analyzes images to detect fire risk factors, calculates the corresponding fire risk, and predicts the possibility of fire before a fire occurs. It relates to a video-combined thermal imaging detection system. In this intelligent real-time video combined thermal imaging detection system, a thermal imaging camera unit for generating thermal image data and a visible light camera unit for generating visible light image data are installed on one side of the camera module for photographing the same place, a set temperature, and a first alarm. A memory unit in which the temperature and the second alarm generating temperature are set, a communication unit connected to the camera module to enable data communication, a display unit to output thermal image data and visible light image data received from the camera module, When the extracted temperature extraction unit and the extraction temperature extracted from the temperature extraction unit match the first alarm generating temperature preset in the memory unit, a first alarm alarm is output, and when matching the preset second alarm generating temperature in the memory unit, the alarm generation temperature is output. 2 Includes a control module equipped with an alarm alarm unit for outputting an alarm alarm.

Description

Intelligent Real-Time Video Combined Thermal Imaging Detection System}

The present invention relates to a rapid detection system for detecting an incipient fire. The present invention is a technology related to a detection system capable of promptly taking an initial response by detecting an ignition point before a fire occurs.

Electrical equipment is placed in industrial sites such as buildings and factories, and residential facilities such as general houses, apartments, and officetels. Operation and management of electrical equipment is directly related to fire prevention. Many electrical installations are exposed to fire as the temperature rises due to various factors. Since many electrical facilities are installed in buildings and factories, it is not easy for a few managers to constantly detect fires in many electrical facilities.

Accordingly, a fire warning and fire extinguishing system that accurately detects an ignition point unmanned, outputs a signal according to the detected temperature, and enables a person near the fire to recognize the occurrence of a fire is considered an important technology.

Currently, research on the development of a system with high accuracy for detecting fire occurrence is being actively conducted.

However, most fire detection systems, including the thermal image-based smart fire detection system disclosed in Korean Registered Patent No. 10-1462247, have a problem in that the reliability of detection of the initial fire occurrence is not high.

In addition, since the occurrence of risk factors through image analysis cannot be detected, the risk of fire cannot be calculated, so there is a problem of low accuracy of fire detection when a fire occurs and a problem of not predicting the possibility of a fire before a fire occurs.

Korean Patent Registration No. 10-1462247 ‘Smart Fire Detection System and Automatic Fire Extinguisher Interface Platform based on Infrared Thermal Imaging’ (Announcement date: 2014.11.21)

The present invention is to solve the problem of not quickly detecting a fire in the early stage in installing a system for detecting a fire.

The problem to be solved by the present invention is not limited to the problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the following description.

In order to achieve the object to be solved, the intelligent real-time image combined thermal imaging detection system of the present invention has a thermal imaging camera unit generating thermal image data and a visible light camera unit generating visible light image data installed on one surface of the camera for taking pictures. Module, memory unit in which set temperature, first alarm generation temperature and second alarm generation temperature are set, communication unit connected to camera module to enable data communication, thermal image data and visible light image data received from camera module are converted into different images When the temperature extracted from the display unit, the temperature extraction unit that extracts the temperature from the thermal image, and the temperature extraction unit match the first alarm generating temperature preset in the memory unit, a first alarm alarm is output, and the memory unit outputs a first alarm. and a control module equipped with an alarm alarm unit that outputs a second alarm alarm when it matches a second alarm generation temperature set in the unit.

Here, the thermal imaging camera unit and the visible light camera unit photograph the same place in the same direction, and the control module transmits a thermal image generated through the thermal image data and a luminous light image generated through the visible light image data into a plurality of the same size. It further includes an image segmentation unit for segmentation, extracts the highest temperature in the divided area of the thermal image and the segmented area of the visible light image divided in the image segmentation unit through the temperature extraction unit, and stores the maximum temperature extracted in the temperature extraction unit. The overheating value is calculated by dividing by the set temperature set in the unit, and the number matching the plurality of risk factors preset in the memory unit is detected in each divided area of the visible light image, and the risk weight corresponding to the detected number is calculated and calculated. The method may further include a fire risk extraction unit that adds and calculates the calculated overheating value and the risk weight, and extracts a fire risk level of each divided area of the thermal image or a fire risk level of each divided area of the visible light image. At this time, the plurality of standard risk factors preset in the memory unit become factors that can cause an electrical accident due to a short circuit, and a first coupling object in which a female connector and a male connector are coupled, and a second coupling object in which a plug and an outlet are coupled , wire objects with the coating peeled off, dust objects caught between the gaps between female and male connectors, dust objects caught between the gaps between plugs and outlets, and dust objects accumulated in peeled coatings.

The fire hazard extraction unit includes a first combination object detected in each divided area of the visible light image and a second combination object detected in each divided area of the visible light image and each divided area of the visible light image in a plurality of reference risk factors preset in the memory unit. If any one of the detected electric wire object and the dust object detected in each divided area of the visible light image is not matched, the risk weight is calculated as 0, and each divided area of the visible light image is assigned to a plurality of standard risk factors preset in the memory unit. An object of any one of the first combination object detected in the first combination object, the second combination object detected in each divided area of the visible light image, the wire object detected in each divided area of the visible light image, and the dust object detected in each divided area of the visible light image. If is matched, the risk weight is calculated as 10, and the first combination object detected in each divided area of the visible light image and the second combined object detected in each divided area of the visible light image are calculated in the plurality of reference risk factors preset in the memory unit. When two objects are matched, a wire object detected in each segment of the visible light image and a dust object detected in each segment of the visible light image, the risk weight is calculated as 20, and the visible light is assigned to a plurality of reference risk factors preset in the memory unit. The first combining object detected in each segmented area of the image, the second combined object detected in each segmented area of the visible light image, the wire object detected in each segmented area of the visible light image, and the dust object detected in each segmented area of the visible light image. If three or more objects are matched, the risk weight can be calculated as 30.

A control unit that is connected to the control module and receives data transmitted from the control module, receives the thermal image data and visible light image data transmitted to the control unit, superimposes the thermal image and the visible light image, and then the thermal image and the visible light image. When the monitor unit outputs at least one of the images to the screen and the mouse unit connects to the control unit and displays a cursor on the image output from the monitor unit, and when the cursor of the mouse unit is located in the divided area of the thermal image being output. , Displays the maximum temperature and overheating value of the corresponding divided area, outputs the divided area of the lye light image overlapping with the thermal image where the mouse cursor is located in any one of the divided areas located on the top, bottom, left and right of the corresponding divided area It may include an integrated control module equipped with a divided area conversion unit that outputs risk weights to the divided areas of the visible light image.

The first alarm risk level and the second alarm risk level are further set in the memory unit, and the alarm alarm unit matches the first alarm risk level and the second alarm risk level with the highest fire risk level among the fire risk levels extracted from the fire risk extraction unit. When the risk level matches the first alarm risk level, a first alarm alarm may be output, and when the fire risk level matches the second alarm risk level, a second alarm alarm may be output.

In addition, according to the present invention, an image can be checked in real time by interworking with a smartphone through an application, and an alarm can also be received. In addition, the thermal imaging camera unit and the visible light camera unit can take pictures while rotating, and when a set temperature is reached, an image is automatically recorded, and the corresponding image can be automatically stored in the memory unit. Here, the camera unit is detachable and can be used in a mobile manner through a wireless method. Therefore, if you need to check the image and temperature of a specific part, press the ‘on’ button to take a picture in real time.

The present invention makes it possible to quickly detect the fire occurrence point by finding the initial ignition point of the fire. In addition, the present invention analyzes the image to detect the initial risk factors of fire, calculates the corresponding fire risk, and predicts the possibility of fire before a fire occurs. This allows workers to quickly respond to fire prevention. In addition, it detects in real time, accumulates this data, and enables efficient and stable operation of equipment and facilities through big data analysis.

As described above, the present invention can be applied to all electric facilities such as electric vehicle charging stations, ESS (Energy Storage System), data centers and computer rooms, high voltage switchboards, large motors, switchboards/transformers, and the like. In particular, the present invention is installed in a place where large-scale fire accidents due to electric ignition are concerned, so that fire can be prevented through real-time monitoring and monitoring.

1 is a block diagram of an intelligent real-time image combined thermal image detection system according to an embodiment of the present invention.
2 is a perspective view of the camera module of FIG. 1;
3 is a view showing a control module of FIG. 1;
4 to 10 are views showing the operating state of the control module.
11 is a block diagram of an intelligent real-time image combined thermal image detection system according to another embodiment of the present invention.
12 to 18 are diagrams illustrating an operating state of an intelligent real-time image combined thermal image detection system according to another embodiment of the present invention.

Advantages and features of the present invention and a system for achieving them will become clear with reference to the detailed description of the following embodiments taken in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only this embodiment makes the disclosure of the present invention complete, and those skilled in the art in the art to which the present invention belongs It is provided to fully inform the person of the scope of the invention.

The claims of the present invention can be defined by the claims and the description supporting the claims. In addition, like reference numerals refer to like elements throughout the specification.

In order to make the description of the present invention concise and clear, the present invention will be briefly described with reference to FIG. 1 first.

1 is a block diagram of an intelligent real-time image combined thermal image detection system according to an embodiment of the present invention.

The video-combined intelligent real-time video-combined thermal imaging detection system 1 of the present invention captures a certain area and quickly detects the initial ignition point of a fire through the captured image, discriminates the risk factors of fire, and measures the fire risk accordingly. yield For example, the intelligent real-time video combined thermal image detection system 1 of the present invention detects risk factors such as connectors, plugs, outlets, wires with poor coating, dust, and the like, identifies the number of detected risk factors, and risks factors. Calculate the fire risk in the area where is located.

Through this, the present invention predicts the possibility of a fire before a fire breaks out and also predicts an area where a fire can occur so that a worker can quickly cope with a fire and prevent a fire from occurring.

In addition, the intelligent real-time image combined thermal image detection system 1 can be applied to all electrical facilities such as electric vehicle charging stations, ESS (Energy Storage System), data centers and computer rooms, high-voltage switchboards, large motors, and switchboards. In addition, the present invention is installed in a place where a large-scale fire accident due to electrical ignition is concerned, so that a fire can be prevented through real-time monitoring.

The intelligent real-time video combined thermal image detection system 1 includes a camera module 10 and a control module 20 . And it may further include an integrated control module 30 as a component.

Hereinafter, components constituting the intelligent real-time image combined thermal image detection system 1 according to an embodiment of the present invention will be described in detail with reference to FIGS. 1 to 4 .

The camera module 10 captures a specific area and generates thermal image data and visible light image data. As shown in FIG. 2, the camera module 10 includes a thermal imaging camera unit 110 generating thermal image data, a visible light camera unit 120 generating visible light image data, and a visible light camera unit 120, as shown in FIG. It can be formed in a structure in which a flash unit 130 that can be operated when taking a picture is installed. In this case, the thermal imaging camera unit 110 and the visible light camera unit 120 may capture the same place on one surface in the same direction and generate thermal image data and visible light image data. Then, the generated thermal image data and visible light image data are transmitted to the control module 20 .

In addition, the camera module 10 is detachable and can be used in a mobile manner through a wireless method. In this way, the camera module 10 can take pictures in real time by pressing the 'on' button when it is necessary to check the image and temperature of a specific part, and stops filming by pressing the 'off' button.

The control module 20 compares temperature data extracted from the received thermal image data and visible light image data with temperature data preset in the memory unit 210 and outputs various alarms. Such a control module 20 may be a computer that calculates and processes data and outputs various signals. This control module 20 is formed as shown in (a) of FIG. 3 on the front side and includes a confirmation LED 202, a power switch 204 and an alarm switch 205 installed outside. And it includes a memory unit 210, a display unit 230, a temperature extraction unit 240, an alarm and alarm unit 250 and a screen magnifying unit 260 installed therein. In addition, as shown in (b) of FIG. 3, a wire 201 and a LAN connector 203 connecting a power supply unit connected to an external power source may be installed on the lower surface of the control module 20.

A communication unit 220 connected to the camera module 10 is included. Here, the power supply unit converts the AC voltage 220V applied from the outside into DC 12V. At the same time, it operates a number of converted and installed devices. At this time, the power unit operates normally, and the confirmation LED 202 shown in FIG. 3 (a) is turned on, indicating that the power unit is normally operating.

The power switch 204 becomes a switch that turns on/off the operation of the power supply unit. When the power switch is turned on, the power part operates, and when it is turned off, the power part does not operate. And the alarm switch 205 is a switch that turns on or off the operation of the alarm alarm unit 250. When the alarm switch is turned on, the alarm switch is operated and when turned off, the alarm and alarm unit 250 is not operated.

The memory unit 210 becomes a device for storing data that can be accessed and used by the alarm and alarm unit 250 . In the memory unit 210, data for a set temperature of 100 °C as an example, a first alarm generating temperature of 90 °C as an example, and a second alarm generating temperature of 100 °C as an example are stored in advance. In this case, the first alarm generating temperature may be a temperature lower than the set temperature and the second alarm generating temperature, and the second alarm generating temperature may be the same temperature as the set temperature. In addition, the memory unit 210 may store thermal image data and visible light image data generated in the camera module 10 .

The communication unit 220 is connected to the plurality of camera modules 10 through the LAN connector 203 and may receive data transmitted from the plurality of camera modules 10 .

The display unit 230 outputs the thermal image data received from the camera module 10 as a thermal image (A, see FIG. 12), and outputs the visible light image data as a visible light image (B, see FIG. 13). Such a display unit 230 becomes a touch screen, and when a user touches the display unit 230, the output screen can be changed and output.

The temperature extraction unit 240 extracts the temperature from the thermal image. Also, the temperature extractor 240 may extract the highest temperature in the divided region of the thermal image and the divided region of the visible light image divided by the image divider 270 to be described later.

The alarm alarm unit 250 compares the extraction temperature extracted from the temperature extraction unit 240 with the first alarm generating temperature and the second alarm generating temperature set in the memory unit 210, so that the extraction temperature is equal to the first alarm generating temperature. If matched, a first alarm alarm may be output, and if the extraction temperature matches the second alarm generating temperature, a second alarm alarm may be output.

Hereinafter, with reference to FIGS. 4 to 10, the operating state of the control module will be described in detail.

4 to 10 are views showing the operating state of the control module.

The control module 20 is connected to the plurality of camera modules 10 and can output video image data transmitted from each camera module 10 as an image on the display unit 230 . For example, as shown in (a) of FIG. 4 , the control module 20 receives the first thermal image data and the first visible light image data transmitted from the first camera module and displays the first thermal image through the display unit. Image A1 can be output. Also, the second thermal image data and the second visible light image data transmitted from the second camera module may be received, and the second thermal image A2 may be output through the display unit, and the third thermal image data A2 may be transmitted from the third camera module. The image image data and the third visible light image data may be received, and the third thermal image A3 may be output through the display unit. In addition, the fourth thermal image data and the fourth visible light image data transmitted from the fourth camera module may be received, and the fourth thermal image A4 may be output through the display unit. Further, the control module 20 enlarges the screen when a signal for the enlarged screen is applied through the screen enlarger 208 . For example, as shown in (b) of FIG. 4 , when a touch is made on the second thermal image A2 output on the display unit 230, the second thermal image A2 is displayed on the display unit 230. Only enlarged output.

In addition, as shown in FIG. 6, the control module 20 includes a first icon for real-time checking of an image on the display unit 230, a second icon for checking a temperature graph in real time, and a log-in in real time. may indicate a third icon for querying, a fourth icon for querying temperature history, and a fifth icon for setting use environments.

First, when the user clicks the first icon, the control module 20 outputs the first thermal image A1 to the fourth thermal image A4 as shown in (a) of FIG. 6 . When the user clicks the second icon, the temperature extracted from the temperature extraction unit 240 and the preset temperature are output to the memory unit 210 as shown in (b) of FIG. 6 . In addition, the control module 20 allows the user to check login information stored in the memory unit 210 as shown in (a) of FIG. 7 when the user clicks the third icon. Further, when the user clicks the fourth icon, as shown in (b) of FIG. 7 , temperature information stored in the memory unit 210 and recorded for the selected time can be inquired and displayed. At this time, the maximum temperature and minimum temperature to be inquired can be output as a graph.

In addition, the control module 20 allows the user to set detailed items for each camera module 10, as shown in (a) of FIG. 8, when the user clicks the fifth icon. As an example, as shown in (b) of FIG. 8, it is possible to set whether to use a corresponding camera, and to set the IP of the camera module 10. Also, the real-time video mode can be set. In addition, an alarm temperature can be set, and whether or not the flash unit 130 operates during shooting can be set. In particular, the control module 20 matches the extraction temperature extracted from the temperature extraction unit 240 with the first alarm generating temperature and the second alarm generating temperature preset in the memory unit 210, and alarms the first alarm or the second alarm. An alarm can be output. For example, when the first alarm generating temperature in the memory unit 210 is set to 90°C and the second alarm generating temperature is set to 100°C, the extraction temperature extracted by the temperature extraction unit 240 is 90°C. , The alarm alarm unit 250 outputs a first alarm alarm and outputs a second alarm alarm when the extraction temperature extracted by the temperature extraction unit 240 is 100°C.

When the first alarm alarm or the second alarm alarm sounds in the control module 20, as shown in (a) of FIG. 9, a 'Buzzer Stop' pop-up window may appear in the center of the display unit 230. At this time, the worker can touch the output 'Buzzer Stop' and turn off the alarm switch 205, then go to the site where the camera module 10 is filming and take appropriate measures to prevent fire.

The control module 20 removes elements that may cause a fire by the operator, so that an alarm sound is not generated when the addition operation value of the extraction temperature extracted from the temperature extraction unit 240 and the set temperature is within a normal range. In doing so, the control module 20 detects an element that may cause a fire again and outputs a first alarm alarm or a second alarm alarm. Here, the control module 20 may not store the video and image captured by the camera module 10 when the first alarm occurs.

On the other hand, the control module 20 stores the video in the video folder for 30 seconds from the time when the second alarm alarm is generated when the second alarm alarm is generated. Then, a video is captured at the point in time when the second alarm alarm is generated, an image is created, and then stored in an image folder. At this time, the control module 20 may store two types of images, such as a thermal image (A) and a visible light image (B), in an image folder.

In addition, the intelligent real-time video combined thermal image detection system 1 includes not only the camera module 10 and the control module 20, but also the control module 20 as shown in FIG. -1), an image division unit 270, and a fire hazard extraction unit 280 are further included, and connected to the integrated control module 30, the above-described intelligent real-time video combined thermal image detection system 1 has characteristics beyond those shown. It can be formed as an intelligent real-time video combined thermal image detection system 1-1.

Hereinafter, an intelligent real-time video combined thermal image detection system 1-1 according to another embodiment of the present invention will be described in detail with reference to FIGS. 11 to 18 .

11 is a block diagram of an intelligent real-time video and thermal image detection system according to another embodiment of the present invention, and FIGS. 12 to 18 show operating states of the intelligent real-time video and thermal image detection system according to another embodiment of the present invention. is the drawing shown.

The control module 20-1 according to another embodiment further includes an image division unit 270 and a fire risk extraction unit 280 in addition to the components included in the control module 20 described above. Also, the memory unit 210-1 of the control module 20-1 according to another embodiment further includes a first notification risk level and a second notification risk level more than the memory unit 210 according to one embodiment.

In order to make the description of the control module 20-1 according to another embodiment concise and clear, descriptions of components overlapping with the control module 20 described above are omitted, and the image segmentation unit 270 having a difference ) and only the fire hazard extraction unit 280 will be described in detail. In addition, the integrated control module 30 not included in the intelligent real-time video combined thermal image detection system 1 according to an embodiment of the present invention will be described in detail.

The memory unit 210-1 stores data on the set temperature, the first alarm generating temperature, the second alarm generating temperature, the first alarm risk level, and the second alarm risk level, that is, the set temperature stored in the memory unit 210 described above. data, the first alarm generation temperature data, the second alarm generation temperature data, and may further include first notification risk data and second notification risk data. In addition, the memory unit 210-1 may store a plurality of predetermined reference risk factors, that is, factors that may cause an electrical accident due to a short circuit. As an example, the standard risk factor is a first combination object in which a female connector and a male connector are combined, a second combination object in which a plug and an outlet are combined, a wire object with the coating peeled off, and a dust object caught between the gap between the female connector and the male connector, and It can be dust objects caught between gaps between plugs and outlets, and dust objects accumulated on peeled coatings.

The image division unit 270 may divide the thermal image generated through the thermal image data and the lyric light image generated through the visible light image data into a plurality of rectangles having the same size. For example, as shown in FIG. 12, the image division unit 270 divides the thermal image A into 4 horizontal and 4 vertical rectangles, and the first column image division area of the first column in the first row (①). -①) to the 16th column image division area (④-④) of the 4th column of the 4th row. And, as shown in FIG. 13, the visible light image is divided into four squares horizontally and four vertically, and the first visible light division region (ⓐ-①) of the first column of the first row to the 16th visible light of the fourth column of the fourth row It can be divided into division areas (ⓓ-④).

As shown in FIG. 14 , the temperature extraction unit 240 may extract the highest temperature from each divided area (①-① to ④-④) of the thermal image in the image segmentation unit 270 . As an example, the maximum temperature of the first thermal image segmentation region (①-①) of the first column of the first row can be extracted as 60° C., and the 16th visible light division region (ⓓ-④) of the fourth column of the fourth row The maximum temperature of can be extracted at 69 ℃.

The temperature extraction unit 240 divides the extracted maximum temperature by the set temperature set in the memory unit 210 and then multiplies it by 100 to obtain an overheating value in percent in each divided area of the thermal image as shown in FIG. can be calculated

The fire risk extraction unit 280 may calculate the number of risk factors detected by detecting risk factors matching a plurality of risk factors preset in the memory unit 210-1. At this time, after receiving a plurality of risk factors preset in the memory unit 210-1, the fire risk extraction unit 280 detects elements matching the received plurality of risk factors in each visible light division area, and the risk factors count the number of In addition, a risk weight corresponding to the calculated number can be calculated. That is, the fire risk extraction unit 280 calculates the number of risk factors detected when a risk factor matching the reference risk factor preset in the memory unit 210 is detected in each divided area from the visible light image, and Table 1 As shown in , the risk weight can be calculated within the range of 0 to 30.

More specifically, The fire hazard extraction unit 280 detects a first combination object detected in each divided region of the visible light image (B) and each divided region of the visible light image (B) in a plurality of reference risk factors preset in the memory unit 210. The risk weight is calculated as 0 if any one of the second combined object, the wire object detected in each divided area of the visible light image (B), and the dust object detected in each divided area of the visible light image (B) is not matched. can do. For example, in each segmentation area of the visible light image (B), a first coupling object in which a female connector and a male connector are combined, a second coupling object in which a plug and an outlet are coupled, a wire object with the coating peeled off, and a gap between the female connector and the male connector None of the dust objects including the dust between the gaps between the plug and the outlet, and the dust accumulated on the peeled coating is not detected, and the risk weight can be calculated as 0. In addition, the fire risk extraction unit 280 is a first combination object detected in each divided area of the visible light image (B) and each divided area of the visible light image (B) to a plurality of reference risk factors preset in the memory unit 210. If any one of the second combination object detected in the second combination object, the electric wire object detected in each divided area of the visible light image (B), and the dust object detected in each divided area of the visible light image (B) is matched, the risk weight is set to 10. can be calculated For example, in each segmentation area of the visible light image (B), a first coupling object in which a female connector and a male connector are combined, a second coupling object in which a plug and an outlet are coupled, a wire object with the coating peeled off, and a gap between the female connector and the male connector If any one of the dust objects including dust in between, dust in the gap between the plug and outlet, and dust accumulated in the peeled coating is detected, the risk weight can be calculated as 10. Then, the fire hazard extraction unit 280 is a first combination object detected in each divided region of the visible light image (B) to a plurality of reference risk factors preset in the memory unit 210 and each divided region of the visible light image (B). The risk weight is calculated as 20 when two objects are matched among the second combination object detected in the second combination object, the wire object detected in each divided area of the visible light image (B), and the dust object detected in each divided area of the visible light image (B). can do. For example, in each segmentation area of the visible light image (B), a first coupling object in which a female connector and a male connector are combined, a second coupling object in which a plug and an outlet are coupled, a wire object with the coating peeled off, and a gap between the female connector and the male connector If any two of the dust objects including dust in between, dust in the gap between the plug and outlet, and dust accumulated in the peeled coating are detected, the risk weight can be calculated as 20. And the fire risk extraction unit 280 is a first combination object detected in each divided area of the visible light image (B) to a plurality of reference risk factors preset in the memory unit 210 and each divided area of the visible light image (B). The risk weight is calculated as 30 when three or more objects are matched among the detected second combination object, the wire object detected in each segmented area of the visible light image (B), and the dust object detected in each segmented area of the visible light image (B). can do. For example, in each segmentation area of the visible light image (B), a first coupling object in which a female connector and a male connector are combined, a second coupling object in which a plug and an outlet are coupled, a wire object with the coating peeled off, and a gap between the female connector and the male connector If three or more objects are detected among dust objects including dust caught in between, dust caught between gaps between plugs and outlets, and dust accumulated on peeled sheaths, a risk weight of 30 can be calculated.

0 hazards 1 hazard 2 hazards 3 hazards risk weight 0% 10% 20% 30%

In other words, as shown in FIG. 16 , the fire risk extraction unit 280 has a plurality of presets set in the memory unit 210 in the first visible light division area (ⓐ-①) and the fifth visible light division area (ⓑ-①). If no risk factor matching the two standard risk factors is detected, the risk weight is calculated as 0 in the first visible light segment and the fifth visible light segment, and the risk weight is set to 0 in the first visible light segment and the fifth visible light segment. can be set to And, the second visible light splitting area (ⓐ-②), the third visible light splitting area (ⓐ-③), the fourth visible light splitting area (ⓐ-④), the seventh visible light splitting area (ⓐ-③), and the eighth visible light splitting area Area (ⓑ-④), 9th visible light splitting area (ⓒ-①), 11th visible light splitting area (ⓒ-③), 12th visible light splitting area (ⓒ-④), 14th visible light splitting area (ⓓ-②) , When one risk factor matching a plurality of reference risk factors preset in the memory unit 210 is detected in the 15th visible light division area (ⓓ-③) and the 16th visible light division area (ⓓ-④), each division In the domain, the risk weight can be calculated as 10, and the risk weight can be set as 10. In addition, when two risk factors matching a plurality of standard risk factors preset in the memory unit 210 are detected in the tenth visible light division area (ⓒ-②), the risk weight is 20 in the divided area where the two risk factors are detected. , and set the risk weight to 20. And, if three risk factors matching the plurality of standard risk factors preset in the memory unit 210 are detected in the thirteenth visible light division (ⓓ-①), the risk weight in the thirteenth visible light division (ⓓ-①) 30 can be calculated and the risk weight can be set to 30.

The fire risk extraction unit 280 calculates the number of risk factors that may cause a fire in each of the divided areas of the visible light image shown in FIG. yields Through this, the fire risk extraction unit 280 may indicate in which divided area the probability of occurrence of fire is high and in which divided area the probability of occurrence of fire is low. In addition, the fire risk extraction unit 280 calculates the addition of the overheat value calculated in the divided area of the thermal image as shown in FIG. 15 and the risk weight calculated in the divided area of the visible light image as shown in FIG. As shown in Fig. 17, the fire risk is extracted from the divided area of the thermal image. For example, in the fire risk extraction unit 280, the overheating resin calculated in the first thermal image segmentation area (①-①) is 60%, and the risk weight calculated in the first visible light segmentation area (ⓐ-①) is 0%. In this case, the fire risk of the first thermal image division area (①-①) or the fire risk of the first visible light division area (ⓐ-①) may be calculated as 60%. And when the overheating resin calculated in the second thermal image segmentation area is 69% and the risk weight calculated in the second visible light segmentation area is 10%, the fire risk of the second thermal image segmentation area or the fire risk of the second visible light segmentation area can be calculated as 79%. And when the overheating resin calculated in the third thermal image segmentation area is 71% and the risk weight calculated in the third visible light segmentation area is 10%, the fire risk of the third thermal image segmentation area or the fire risk of the third visible light segmentation area can be calculated as 81%. In addition, when the overheating resin calculated in the 11th thermal image division area is 80% and the risk weight calculated in the 11th visible light division area is 10%, the fire risk can be calculated as 90%.

The integrated control module 30 may be a computer device that is connected to the control module 20, processes data transmitted from the control module 20, and outputs various signals. Such an integrated control module 30 includes a control unit 310, a monitor unit 320, a mouse unit 320, and a partitioned area conversion unit 340. Here, the controller 310 is connected to the control module 20 and receives data transmitted from the control module 20 . Also, the monitor unit 320 receives the thermal image divided into a plurality of divided regions and the visible light image divided into a plurality of divided regions transmitted to the control unit 310, and displays the divided thermal image into the plurality of divided regions. can be printed out. For example, the monitor unit 320 receives the thermal image data divided into the first to 16th divided regions and the visible light image data divided into the first to 16th divided regions through the control unit 310. Thus, a thermal image divided into the first to 16th divided areas and a visible light image divided into the first to 16th divided areas can be output. In this case, the size of the thermal image divided into a plurality of division areas may be the same as that of the thermal image divided into a plurality of regions. Accordingly, each of the divided regions may also have the same size. That is, the size of the first thermal image segmentation area to the 16th thermal image segmentation area of the thermal image and the size of the first to 16th visible light segmentation area of the visible light image may be the same.

The monitor unit 320 superimposes the thermal image divided into a plurality of divided regions and the visible light image divided into a plurality of divided regions, and then outputs the thermal image divided into the plurality of divided regions, and then outputs the visible light image. A part of it can be output to the divided area of the thermal image.

The divided region converting unit 340 displays the highest temperature and overheating value in each of the thermal image division regions of the thermal image divided into a plurality of regions.

In particular, the partitioned area conversion unit 340 is connected to the control unit 310 so that the mouse unit 320 that displays the cursor on the image on the monitor unit 320 is located in a specific thermal image segmentation area of the thermal image for a set time or longer. When it is done, the maximum temperature and overheat value of the corresponding thermal image segmentation area are displayed. More specifically, as shown in FIG. 18, the fire hazard extraction unit 280, for example, 2 for a set time or more, in the divided area (②-②) of the thermal image where the cursor C is located in the second column of the second row. Second or longer, the maximum temperature of 60°C and the overheating value of 60% in the second column of the second row can be displayed in the divided area located in the second column of the second row. And when the cursor is located in the partition area (③-③) located in the 3rd column of the 3rd row for more than the set time, the maximum temperature is 90℃ and the overheat value is 90 in the partitioned area (③-③) located in the 3rd column of the 3rd row. % can be expressed. In addition, the partitioned area conversion unit 340 outputs a split area of the lyric light image at the same position as the split area of the thermal image where the cursor C of the mouse unit is located in any one of the split areas located on the top, bottom, left, and right sides of the corresponding split area. and represents the risk weight of the divided area of the output visible light image. For example, as shown in (a) of FIG. 18, when the maximum temperature in the second column of the second row and the overheating value of the second column of the second row appear, the partitioned area conversion unit 340 displays the second column of the second row. The image (ⓑ-②) of the partitioned area in the second column of the second row of the visible light image is output to the partitioned area in the third column of the second row of the thermal image, that is, the column next to the second column, that is, the divided area of the visible light image. That is, it represents the risk weight of 30% of the image (ⓑ-②) of the partitioned area in the second column of the second row. And when the highest temperature and overheating value appear in the divided area of the thermal image in the third column of the third row, the column next to the third column in the third row, that is, the divided area in the fourth column of the third row shows the The image of the partitioned area in the third column of the third row (ⓒ-③) is output, and the risk weight of 10% of the image of the partitioned area in the third column of the third row (ⓒ-③) is indicated.

The partitioned area conversion unit 340 allows the operator to numerically grasp the maximum temperature of the divided area of the thermal image, and the partitioned area with the highest temperature is converted to a visible light image, and the area with the highest temperature is identified. It allows workers to easily identify which risk factors exist.

The alarm and alarm unit 250 of the intelligent real-time video combined thermal image detection system 1-1 according to another embodiment of the present invention is a fire hazard extracted from the fire risk extraction unit 280 to the first alarm risk level and the second alarm risk level. The highest fire risk among the risks may be matched, and when the fire risk level matches the first alarm risk level, a first alarm alarm may be output, and when the fire risk level matches the second alarm risk level, a second alarm alarm may be output. More specifically, the alarm alarm unit 250 matches the highest fire risk level among the divided areas of the thermal image divided into the first to 16th divided areas with the first alarm risk level or the second alarm risk level. At this time, the alarm alarm unit 250, as shown in (a) of FIG. 18, when the highest fire risk value among the fire risk values calculated in the divided areas of the thermal image is, for example, 90%, the fire risk level When is matched with the first alarm risk level, the first alarm alarm is output. And, as shown in (b) of FIG. 18, the alarm alarm unit 250 is an example of the highest fire risk among the fire risks calculated in the divided areas of the thermal image. When 100%, this fire risk is the second When the alarm risk level is matched, the second alarm alarm is output. Here, the first alarm risk may be 90, and the second alarm risk may be 100. That is, the alarm alarm unit 250 outputs a first alarm when the highest fire risk among the plurality of divided areas is 90, and sends a second alarm when the highest fire risk among the plurality of divided areas is 100. can be printed out.

In this way, the intelligent real-time video combined thermal image detection system (1-1) divides the thermal image and the visible light image into a plurality of divided areas, calculates the risk factors of fire existing in each divided area, and calculates the calculated risk factors for fire. It is reflected in the weight of , and clearly indicates the location where a fire can occur. Then, the fire risk is calculated for each divided area, and the calculated value is compared with the alarm risk value, and an alarm is output.

Through this, it is possible to quickly take measures to prevent fire occurrence by enabling the operator to grasp the possibility of fire occurrence in which location and with which risk factors.

Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art to which the present invention pertains can be implemented in other specific forms without changing the technical spirit or essential features of the present invention. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

1,1-1: Intelligent real-time video combined thermal imaging detection system
10: camera module
110: thermal imaging camera unit 120: visible light camera unit
130: flash unit
20,20-1: control module
201: wires
203: LAN connector
210, 210-1: memory unit 220: communication unit
230: display unit 240: temperature extraction unit
250: alarm alarm unit 260: screen enlargement unit
270: image segmentation unit 280: fire hazard extraction unit
30: integrated control module
310: control unit 320: monitor unit
330: mouse unit 340: partition area conversion unit
A: Thermal image B: Visible light image
C: Cursor

Claims (6)

delete delete a camera module 10 in which a thermal imaging camera unit 110 for generating thermal image data and a visible light camera unit 120 for generating visible light image data are installed on one surface to take pictures; and
The memory unit 210 in which the set temperature, the first alarm generating temperature, and the second alarm generating temperature are set, the communication unit 220 connected to the camera module 10 to enable data communication, and the thermal image received from the camera module 10 The display unit 230 outputs image data and visible light image data as different images, the temperature extraction unit 240 extracts the temperature from the thermal image, and the temperature extracted by the temperature extraction unit 240 is stored in the memory unit ( The alarm unit 250 outputs a first alarm when it matches the first alarm generating temperature preset in 210) and outputs a second alarm when it matches the second alarm generating temperature preset in the memory unit 210. Including a control module (20, 20-1) equipped with,
The thermal imaging camera unit 110 and the visible light camera unit 120 photograph the same place in the same direction,
The control modules 20 and 20-1,
An image division unit 270 for dividing a thermal image (A) generated from the thermal image data and a lyric light image (B) generated from the visible light image data into a plurality of division areas;
The temperature extractor 240 extracts the highest temperature in the divided region of the thermal image and the divided region of the visible light image divided by the image divider 270;
Dividing the highest temperature extracted from the temperature extraction unit 240 by the set temperature set in the memory unit 210 to calculate an overheating value,
After detecting risk factors in each segmented area of the visible light image, matching the detected risk factors to a plurality of standard risk factors preset in the memory unit 210-1, calculating risk weights in response to the matching numbers, , The calculated overheat value and the calculated risk weight are added and calculated, and a fire risk extraction unit 280 for extracting the fire risk of each divided region of the thermal image or each divided region of the visible light image. ,
A plurality of standard risk factors preset in the memory unit 210-1,
Become a factor that can cause an electrical accident by short circuit,
A first coupling object in which a female connector and a male connector are combined, a second coupling object in which a plug and an outlet are combined, a wire object with the coating peeled off, and a dust object caught between the gap between the female connector and the male connector, and between the gap between the plug and the outlet. An intelligent real-time image combined thermal image detection system (1-1), including dust objects that are trapped and dust objects that are accumulated in peeled clothing. According to claim 3,
The fire hazard extraction unit 280,
to a plurality of standard risk factors preset in the memory unit 210.
A first combination object detected in each divided area of the visible light image (B), a second combination object detected in each divided area of the visible light image (B), a wire object detected in each divided area of the visible light image (B), and visible light If any one of the dust objects detected in each segmented area of the image (B) is not matched, the risk weight is calculated as 0,
to a plurality of standard risk factors preset in the memory unit 210.
A first combination object detected in each divided area of the visible light image (B), a second combination object detected in each divided area of the visible light image (B), a wire object detected in each divided area of the visible light image (B), and visible light If any one of the dust objects detected in each segmented area of the image (B) is matched, the risk weight is calculated as 10,
to a plurality of standard risk factors preset in the memory unit 210.
A first combination object detected in each divided area of the visible light image (B), a second combination object detected in each divided area of the visible light image (B), a wire object detected in each divided area of the visible light image (B), and visible light If two of the dust objects detected in each segmented area of the image (B) are matched, the risk weight is calculated as 20,
to a plurality of standard risk factors preset in the memory unit 210.
A first combination object detected in each divided area of the visible light image (B), a second combination object detected in each divided area of the visible light image (B), a wire object detected in each divided area of the visible light image (B), and visible light An intelligent real-time image combined thermal image detection system (1-1) that calculates a risk weight as 30 when three or more objects are matched among dust objects detected in each segmented area of the image (B). According to claim 4,
A control unit 310 connected to the control module 20 and receiving data transmitted from the control module 20;
After receiving the thermal image data divided into a plurality of divided regions and the visible light image data divided into a plurality of divided regions transmitted to the control unit 310, the thermal image A divided into a plurality of divided regions is output. A monitor unit 320 to do,
A mouse unit 320 connected to the control unit 310 and displaying a cursor C on an image output from the monitor unit 320;
When the cursor (C) of the mouse part is located on the partitioned area of the thermal image being output, the maximum temperature and overheating value of the corresponding partitioned area is displayed, and the cursor of the mouse part is placed on any one of the divided areas located above, below, left and right of the corresponding divided area. An integrated control module 30 equipped with a divided area switching unit 340 outputting a divided area of the lyric light image at the same position as the split area of the thermal image where is located and outputting a risk weight to the divided area of the visible light image. Including, intelligent real-time video combined thermal image detection system (1-1). According to claim 5,
A first alarm risk level and a second alarm risk level are further set in the memory unit 210-1,
The alarm alarm unit 250,
The first alarm risk level and the second alarm risk level are matched with the highest fire risk level among the fire risk levels extracted by the fire risk extraction unit 280, and when the fire risk level matches the first alarm risk level, a first alarm alarm is output, and a fire risk level is matched. An intelligent real-time image combined thermal image detection system (1-1) that outputs a second alarm alarm when the risk level matches the second alarm risk level.

Images