KR20130119752A - Fire watch system and watch method thereof - Google Patents

Fire watch system and watch method thereof Download PDF

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Publication number
KR20130119752A
KR20130119752A KR1020120042792A KR20120042792A KR20130119752A KR 20130119752 A KR20130119752 A KR 20130119752A KR 1020120042792 A KR1020120042792 A KR 1020120042792A KR 20120042792 A KR20120042792 A KR 20120042792A KR 20130119752 A KR20130119752 A KR 20130119752A
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KR
South Korea
Prior art keywords
fire
monitoring
image information
application
camera
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KR1020120042792A
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Korean (ko)
Inventor
안진호
전성호
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삼우에레코 주식회사
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Priority to KR1020120042792A priority Critical patent/KR20130119752A/en
Publication of KR20130119752A publication Critical patent/KR20130119752A/en

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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • G08B17/12Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
    • G08B17/125Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/10Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B3/00Audible signalling systems; Audible personal calling systems
    • G08B3/10Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission
    • G08B3/1008Personal calling arrangements or devices, i.e. paging systems
    • G08B3/1016Personal calling arrangements or devices, i.e. paging systems using wireless transmission
    • G08B3/1025Paging receivers with audible signalling details
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Electromagnetism (AREA)
  • Alarm Systems (AREA)
  • Fire Alarms (AREA)

Abstract

Disclosed are a fire monitoring system and a first monitoring method, and the present invention is to build a monitoring system by connecting a monitoring means installed in a site to be monitored and a digital video recorder (DVR) installed in a control center, to build, in the DVR, an intelligent integrated monitoring program for monitoring occurrence of a fire using video information transmitted in real time from the monitoring means, and to rapidly correct the monitoring system through software thereof when the monitoring system is abnormally operated, thereby collecting fire sign data through real-time video analysis, preventing a disaster risk in advance by predicting a fire, supporting rapid recognition of a fire site and establishment of measures when the fire occurs, and especially preventing deterioration of a real-time monitoring function of the fire monitoring system by preventing prolongation of off time of video monitoring for real-time monitoring.

Description

Fire watch system and monitoring method

The present invention relates to a fire monitoring technology, and more particularly, by analyzing the video information transmitted in real time through the monitoring system installed in the area that needs to monitor the fire (or disaster) to monitor the occurrence of fire, The present invention relates to a fire monitoring system and a method for monitoring the same so that the monitoring system can be quickly corrected in case of abnormal operation.

In general, a fire prevention system is equipped with a camera or various sensors to monitor the video signal captured from the surveillance camera or the signal detected and input from the sensor, and transmits and alarms the captured video signal and various detection signals, It is to be sent to be monitored.

The fire crime prevention system mainly uses a CCTV method as an unmanned surveillance method, while the overall system configuration is simple and inexpensive, while the video system simply performs an analog video recording function, and the recording medium also uses a VTR. The tape recording time and recycling is also short, irrespective of the specific case, continuous image recording and image quality deterioration and additional functions cannot be extended, and there is a problem that the distance and distance of the remote site are limited.

In other words, the conventional method of storing video signals as described above is to record continuous shooting information on a video tape, which is cumbersome because it requires replacement with a new video tape, and the cost for managing these video tapes is incurred separately. There is a problem.

In addition, the conventional CCTV system has the inconvenience that the user has to play and search the video tape directly in order to retrieve the shooting information of a specific date or time, there is also a problem of degradation of image quality due to the reuse of the video tape and long time recording .

In addition, the conventional CCTV system has a problem that the alternative for securing the shooting information when the system is damaged due to the collapse of the building, such as the monitoring site is not considered.

In addition, the conventional fire security system using CCTV does not properly analyze the video signal captured by the camera, and predicts fire and disaster such as wildfire, smoke, water level rise, landslide, and prevents disaster risks in advance. There is a disadvantage that it is difficult to accurately diagnose the fire crime, such as extremely limited.

Accordingly, the present invention is to improve the conventional problems as described above, while building a surveillance system in conjunction with a digital video recording unit (DVR) installed in the monitoring means and control center installed in the monitoring site, The digital video recorder consists of an intelligent integrated monitoring program that monitors the occurrence of a fire from the video information transmitted from the monitoring means in real time. The objective is to provide a fire monitoring system and its monitoring method that can prevent precautions and, in particular, in the event of a fire, assist in establishing a prompt site identification and countermeasures.

In addition, the present invention is configured to quickly correct the software in the abnormal operation of the monitoring system, by preventing the off time of the video monitoring according to the real-time monitoring to prevent the real-time monitoring function of the fire monitoring system is deteriorated There is another purpose to make it possible.

Fire monitoring system of the present invention for achieving the above object, Surveillance camera for providing real-time video information on the monitoring site; A DVR processing unit connected to the surveillance camera through a communication network and storing and storing the video information provided from the surveillance camera into a digital video signal; To include, The DVR processing unit includes an input unit for capturing the image of the RGB color model in the image information; Equipped with a surveillance application program that extracts the motion region from the image information of the RGB color model inputted from the input unit, filters the extracted motion region image information, and changes the filtered image information to the HIS color model to read a fire occurrence. Fire surveillance micom; An alarm unit controlled by the fire monitoring microcomputer to generate an alarm; And a storage unit for storing the alarm generation history of the alarm unit as well as the image information converted by the fire monitoring microcomputer. .

In addition, the surveillance camera includes a fire detection thermal imaging camera operating in a normal shooting mode or a thermal imaging mode, and an IP camera and a CCTV camera, as well as the general shooting mode or thermal imaging mode of the thermal imaging camera, IP cameras and CCTV cameras are configured to be controlled by the fire surveillance microcomputer through serial communication.

In addition, the fire monitoring micom is driven by an embedded operating system (OS), but when the hardware reset for the embedded operating system (OS) due to abnormal operation of the embedded operating system, the schedule of the hardware reset proceeds The software watchdog application which restores the monitoring application of the monitoring system by software within the time range is installed.

In addition, the software watchdog application monitors whether the monitoring application and the watchdog application of the monitoring system operate normally, but if the process of the watchdog application is not normal, the monitoring application executes the watchdog application. The watchdog application transmits a message to the watchdog application program at regular intervals, and the watchdog application counts a message reception. When the count information exceeds the set number of counts, the watchdog application operates abnormally. After recognizing that the system is forced to reset it and restarting the monitoring application.

On the other hand, the fire monitoring method implemented by the fire monitoring system, the first step of capturing the image information of the RGB color model from the image information, when the image information captured from the scene monitoring camera received at the control center; A second step of extracting a motion region by comparing the image information of the RGB color model captured from the first step with a preset background modeling; A third step of filtering a noise and an unstable area by using a morphology technique in the image information of the motion area extracted from the second step; And converting the image information from which the noise and the unstable region are filtered from the third step into a HIS color model that does not react sensitively to the illuminance conversion, and then determines whether a fire has occurred by using a preset flame color sample. A fourth step of generating an alarm sound if a fire; .

The fourth step may include determining whether the motion region is a flame color through a fuzzy color filter using a preset flame color sample of the image information of the HIS color model; If it is determined that the flame color is defined as a fire suspect area; Generating a two-dimensional histogram and comparing the dynamic characteristic of the flame if it is defined as a fire suspect area from the step; And when the flame color generated in the fire suspect region of the two-dimensional histogram matches the dynamic characteristics of the flame, finally determining the fire to generate an alarm sound, and if not matching, managing the fire suspect region. As shown in FIG.

As described above, the present invention establishes a surveillance system by linking a surveillance means installed at a monitoring site and a digital image recorder (DVR) installed at a control center, while the digital image recorder generates a fire from image information transmitted in real time from the surveillance means. In addition to establishing an intelligent integrated monitoring program that monitors whether there is an abnormality, the system is configured to quickly correct the monitoring system in case of abnormal operation. Through this, it collects the precursor information of the fire through real-time video analysis and predicts the fire. Prevent fire risks in advance, and in particular, in the event of a fire, it is possible to promptly identify the site and establish countermeasures, while preventing off-time of video monitoring due to real-time monitoring. Expect effects to prevent being That would be.

1 is a schematic block diagram of a fire monitoring system according to an embodiment of the present invention.
2 is a flow chart showing a fire monitoring method according to an embodiment of the present invention.
3 is a flow chart of a software watchdog application in an embodiment of the invention.

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

1 is a schematic block diagram of a fire monitoring system according to an embodiment of the present invention.

Referring to FIG. 1, a fire monitoring system according to an exemplary embodiment of the present invention may be connected to a surveillance camera 10 that provides image information of a surveillance site in real time, and the surveillance camera 10 through a communication network. It consists of a DVR processing unit 20 to format and store the video information provided from the camera 10 as a digital video signal, the DVR processing unit 20 is an input unit 21, fire monitoring microcomputer 22, alarm unit 23 And the storage unit 24.

Here, the surveillance camera 10 includes a fire detection thermal imaging camera 11, an IP camera 12, and a CCTV camera 13 operating in the normal shooting mode or the thermal imaging mode, the thermal imaging camera In the case of (11), the operation is controlled in the normal shooting mode or the thermal imaging shooting mode, and the mode operation control is configured to be controlled by the fire monitoring microcomputer 22 connected by serial communication (RS232).

In addition, the IP camera 12 and the CCTV camera 13 may also be configured to be controlled by the fire monitoring microcomputer 22 through serial communication (RS232), or the control may be made through a network. You can also build a separate server.

That is, the thermal image camera 11 transmits an analog image to the DVR processing unit 20 by selecting one of two thermal images and / or a general image, and the thermal image information is expressed according to temperature. This is an image, and accordingly, when a predetermined temperature or more is found, the DVR processor 20 can detect a fire by using serial communication.

The IR camera 12 transmits image information to the DVR processing unit 20 through a network. The image transmission protocol uses RTSP (Real Time Streaming Protocol), but this is a library distributed by the manufacturer of the IP camera. It can also be used.

At this time, the server of the network, although not shown, performs the relay function of receiving the analog image information of the IP camera 12 and CCTV camera 13 and transmits it to the DVR processing unit 20 through the network.

On the other hand, the input unit 21 included in the DVR processing unit 20 is configured to capture the image of the RGB color model from the image information transmitted by shooting from the surveillance camera 10 and transmit it to the fire monitoring microcomputer 22. Will be.

That is, the input unit 21 receives an analog image from the surveillance camera 10 and captures it in YUV422 format, or receives an image of the IP camera 12 and / or a network server through a network.

Here, the network communication protocol is to perform the communication using a RTSP or a library distributed by the manufacturer.

In this case, the compressed image transmitted to the network is decoded in YUV422 format using the MPEG4 / H264 codec, and when the image information is transmitted from the thermal image camera 11 among the analog images, the input unit 21 may display the image information. It is to distinguish whether it is a thermal image or a general image.

The fire monitoring microcomputer 22 is driven by an embedded operating system (OS), as well as a fire monitoring application is mounted, the monitoring application program moves in the image information of the RGB color model input from the input unit 21 After extracting the region, filter the image information of the extracted motion region, change the filtered image information to HIS color model, Hue, Intensity, Saturation, and then read the fire. You can do it.

That is, the fire monitoring microcomputer 22 detects smoke / fire using analog video images and digital images using software image processing, and the smoke / fire library transmits a result of one of normal / smoke / fire after detection. Meanwhile, when the smoke / fire is detected, an event notification is generated and a control operation for storing the image and event information (smoke / fire) is performed, and a forest fire generation area is displayed in the image and a smoke / fire occurrence icon is displayed. It is configured to recognize the user by displaying, and check the detection of the fire by serial communication with the thermal imaging camera as well as smoke / fire detection.

In more detail, the fire monitoring application program of the fire monitoring microcomputer 22, as shown in FIG. 2, firstly, as the first step (S10), image information taken from the surveillance camera 10 on-site is a network server. When receiving through, to capture the image information of the RGB color model from the image information.

In a second step S20, the motion region is extracted by comparing the captured image information of the RGB color model with preset background modeling.

Next, as a third step (S30), the noise and the unstable area are filtered using a morphology technique in the extracted image information of the motion area.

Next, as a fourth step, after changing the image information from which the noise and unstable areas are filtered to the HIS color model that does not respond sensitively to the illumination conversion (S41), whether or not a fire occurs by using a preset flame color sample If it is determined that the result of the fire, the control operation to generate an alarm sound.

In this case, in the fourth step, the image information of the HIS color model is determined by using a preset flame color sample through a fuzzy color filter to determine whether the movement area is a flame color. When the fire suspect area is defined, a two-dimensional histogram is generated and then compared with the dynamic characteristics of the flame (S43). If there is a match, an alarm sound is generated after the final determination (S44), and if it is not matched, it is classified and managed as a fire suspect area.

Therefore, the alarm unit 23 included in the DVR processing unit 20 of the present invention is controlled by the fire monitoring microcomputer 22 to generate an alarm, and the storage unit 24 is the fire monitoring microcomputer 22. In addition to the image information converted by the, it is possible to store the alarm occurrence history of the alarm unit 23.

As described above, the fire surveillance of the present invention uses both the thermal imaging camera 11 and the surveillance camera 10 including the IP camera 12 and the CCTV camera 13, which are built together with the DVR processing unit 20, By collecting fire precursor information in real time and analyzing it to predict fire / disaster (fire, smoke, water level rise, landslide), it is possible to proactively prevent disaster risks and to establish prompt site identification and countermeasures in the event of a disaster. Its technical characteristics are to provide an intelligent integrated disaster prevention surveillance system that supports this.

On the other hand, the fire monitoring system as described above may cause an unexpected operation error when the operation is made, in the present invention to prevent this by the abnormal operation of the embedded operating system on the fire monitoring microcomputer 22 to drive the embedded operating system. When a hardware watchdog for an embedded operating system (OS) is made, a monitoring application (DVR) of the surveillance system is software-programmed within a certain time range (for example, 60 seconds) during which the hardware reset is performed. It is equipped with the software Watchdog App which restores the App first.

That is, the software watchdog application (Watchdog App) is to monitor whether the watchdog application (DVR App) and watchdog application (Watchdog App) of the surveillance system normally operates as shown in Figure 3 attached to If the process of the watchdog application is not normal according to the result of the monitoring, the watch application (DVR App) executes the watchdog application.

Accordingly, when the running watch application (DVR App) delivers a message to a watchdog application at a predetermined period (for example, 1 second), the watchdog application receives a message. When the count information exceeds the set number of counts, the watchdog app recognizes that the DVR app is abnormally operated and forcibly resets the watchdog app. ) Will be reactivated.

That is, the software watchdog application is a hardware watchdog, and a reset operation is performed, and during the time that the embedded operating system of the fire monitoring microcomputer 22 is rebooted, the watchdog application is first restarted. By operating the hardware watchdog, the embedded operating system can be prevented from stopping operations such as video monitoring and storage for fire monitoring during the rebooting time.

Although the technical idea of the fire monitoring system and the monitoring method of the present invention has been described above with the accompanying drawings, this is illustrative of the best embodiment of the present invention and not intended to limit the present invention.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit and scope of the invention as defined by the appended claims. It is to be understood that such changes and modifications are within the scope of the claims.

10; Surveillance camera 11; Thermal imaging camera
12; IP camera 13; CCTV Camera
20; DVR processing unit 21; Input
22; Fire monitoring micom 23; Alarm part
24; The storage unit

Claims (6)

Surveillance camera to provide real-time video information on the surveillance site; A DVR processor connected to the surveillance camera through a communication network and storing and storing the video information provided from the surveillance camera into a digital video signal; Including,
The DVR processing unit includes an input unit for capturing an image of an RGB color model from the image information; Equipped with a surveillance application program that extracts the motion region from the image information of the RGB color model inputted from the input unit, filters the extracted motion region image information, and changes the filtered image information to the HIS color model to read a fire occurrence. Fire monitoring micom; An alarm unit controlled by the fire monitoring microcomputer to generate an alarm; And a storage unit for storing the alarm generation history of the alarm unit as well as the image information converted by the fire monitoring microcomputer. Fire monitoring system, characterized in that comprising a.
The method of claim 1, wherein the surveillance camera includes a fire detection thermal imaging camera operating in a normal shooting mode or a thermal imaging mode, an IP camera and a CCTV camera, the general shooting mode or thermal imaging mode of the thermal imaging camera Of course, the IP camera and CCTV camera fire monitoring system, characterized in that configured to be controlled by the fire monitoring microcomputer through serial communication. The method of claim 1,
The fire monitoring micom is driven by an embedded operating system,
When a hardware reset of the embedded operating system is performed due to abnormal operation of the embedded operating system, a software watchdog that first restores the monitoring application program of the monitoring system in software within a predetermined time range during which the hardware reset is performed. Fire monitoring system, characterized in that the application is mounted on the configuration.
4. The software watchdog application of claim 3,
Monitors whether the monitoring application and the watchdog application of the monitoring system are operating normally. If the process of the watchdog application is not normal, the monitoring application executes the watchdog application, and the monitoring application periodically watches. After sending the message to the dock application, the watchdog application counts the reception of the message. When the count information exceeds the set number of counts, the watchdog application recognizes that the monitoring application is operating abnormally and forces the reset. And a process for reactivating the monitoring application.
A first step of capturing image information of an RGB color model from the image information when the image information photographed from the spot monitoring camera is received by the control center;
A second step of extracting a motion region by comparing the image information of the RGB color model captured from the first step with a preset background modeling;
A third step of filtering a noise and an unstable area by using a morphology technique in the image information of the motion area extracted from the second step; And
After changing the image information from which the noise and the unstable region are filtered from the third step to the HIS color model that does not react sensitively to the illuminance conversion, it is determined whether a fire has occurred using a preset flame color sample. A fourth step of generating an alarm sound; Fire monitoring method comprising the progress.
The method of claim 5, wherein the fourth step,
Determining whether the motion region is a flame color through a fuzzy color filter using a preset flame color sample of the image information of the HIS color model;
If it is determined that the flame color is defined as a fire suspect area;
Generating a two-dimensional histogram and comparing the dynamic characteristic of the flame if it is defined as a fire suspect area from the step; And
If the flame color generated in the fire suspected region of the two-dimensional histogram matches the dynamic characteristics of the flame, finally determining that it is a fire and generating an alarm sound; Fire monitoring method, characterized in that further comprising.
KR1020120042792A 2012-04-24 2012-04-24 Fire watch system and watch method thereof KR20130119752A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018190478A1 (en) * 2017-04-11 2018-10-18 김수언 Intelligent flame detection device and method using infrared thermography

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018190478A1 (en) * 2017-04-11 2018-10-18 김수언 Intelligent flame detection device and method using infrared thermography
US11326955B2 (en) 2017-04-11 2022-05-10 Hansun St(Security Technology) Inc. Intelligent flame thermogram detection apparatus and method using infrared

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