CN116597603A - Intelligent fire-fighting fire alarm system and control method thereof - Google Patents
Intelligent fire-fighting fire alarm system and control method thereof Download PDFInfo
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- G—PHYSICS
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- G06V20/50—Context or environment of the image
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Abstract
The application provides an intelligent fire alarm system and a control method thereof, which belong to the technical field of alarm systems, wherein a real-time monitoring video of a designated room is obtained, all monitoring image frames are extracted to obtain a monitoring image frame set, gray level conversion is carried out on the monitoring image frame set, dynamic freeness is determined, free image frames are extracted according to the dynamic freeness, color component values are calculated, further flame image frames are determined, dangerous parameters in the flame image frames are obtained, a fire danger median value and a fire danger variance are calculated according to the dangerous parameters, membership conversion is carried out on the fire danger median value and the fire danger variance to obtain a fire membership value, fire danger level of the designated room is determined according to the fire danger level of the designated room, whether fire early warning signals are sent or fire alarm signals are sent is determined according to the fire danger level of the designated room, and alarm information is sent to a safety center at the same time, so that the error rate of evaluating the fire danger level can be effectively reduced.
Description
Technical Field
The application relates to the technical field of alarm systems, in particular to an intelligent fire-fighting fire alarm system and a control method thereof.
Background
An alarm system is a type of security device used to detect and notify potential hazards or emergency situations. It is typically comprised of a set of interconnected sensors, a control panel and alarm means. The control panel is a central of the alarm system and is responsible for receiving signals of the sensors and taking corresponding measures. According to the setting of the alarm system, the control panel can send out an audible alarm, send notification information to safety personnel or a monitoring center, and even trigger automatic measures, such as automatically closing doors and windows, notifying a fire department and the like. The purpose of the alarm system is to alert people in time of possible dangerous situations so that they can take appropriate action to ensure their safety and protection of property. These systems are widely used in various places such as homes, commercial buildings, industrial facilities, schools, hospitals, etc.
An intelligent fire alarm system is a system for detecting, monitoring and alarming fire hazards by utilizing advanced technology and intelligent functions. It combines the traditional fire alarm system and the modern information technology, and aims to improve the fire safety performance and the reaction speed. Intelligent fire alarm systems generally include: fire detectors, control centers, linkage equipment, remote monitoring and notification, data recording and analysis, and the like. Although intelligent fire alarm systems are a key safety precaution, there are still problems and challenges that the intelligent fire alarm systems are subject to interference from factors such as smoke, dust, humidity changes, etc. that result in erroneous assessment of fire hazard classes, and how to reduce the error rate in assessing fire hazard classes is a major problem.
Disclosure of Invention
The application provides an intelligent fire alarm system and a control method thereof, which aim to solve the technical problem of reducing the error rate of fire hazard level assessment.
In order to solve the technical problems, the application adopts the following technical scheme:
in a first aspect, the present application provides a control method of an intelligent fire alarm system, including:
acquiring a real-time monitoring video of a designated room, and extracting all monitoring image frames in the real-time monitoring video of the designated room, thereby obtaining a monitoring image frame set;
performing gray conversion on the monitoring image frame set to obtain a gray image frame set, determining dynamic freeness according to the gray image frame set, extracting free image frames in the gray image frame set according to the dynamic freeness, calculating color component values in the free image frames, and determining flame image frames in the free image frames according to the color component values;
acquiring dangerous parameters in the flame image frame, calculating a fire hazard median and a fire hazard variance according to the dangerous parameters, performing membership conversion on the fire hazard median and the fire hazard variance to obtain fire membership values, and determining fire hazard grades of the designated rooms according to the fire membership values;
and when the fire hazard level of the appointed room is in the fire threshold section, sending a fire early warning signal to family members of the appointed room, and when the fire hazard level of the appointed room exceeds the fire threshold section, sending a fire alarm signal to the family members of the appointed room and simultaneously sending alarm information to a safety center.
In some embodiments, performing gray scale conversion on the monitored image frame set specifically includes:
acquiring an RGB image frame set of the monitoring image frame set, and determining three channel pixel values corresponding to the RGB image frame set;
calculating the average number of the three-channel pixel values as the pixel value of the corresponding gray level image;
and when the pixel value of the gray image exceeds a pixel threshold value, carrying out normalization processing on the pixel value of the gray image to obtain the pixel value of the gray image smaller than the pixel threshold value.
In some embodiments, extracting the free image frames in the grayscale image frame set specifically includes:
selecting three continuous gray image frames in the gray image frame set, calculating gray difference values of an intermediate frame, a front frame and a rear frame in the three gray image frames, and converting the gray difference values to obtain dynamic freeness;
when the dynamic freeness exceeds a dynamic freeness threshold value, determining that the intermediate frame is a freeness image frame;
wherein the dynamic freeness is determined according to the following formula:
wherein ,representing +.>Line->Dynamic freeness of column,/->Representing the +.f in the gray-scale image frame of the previous frame>Line->Pixel value of column +.>In the representationInter-frame gray scale image frame +.>Line->Pixel value of>Representing +.>Line->Pixel value of column +.>The gray level difference binarization processing of the gray level image frame of the previous frame and the gray level image frame of the middle frame is represented, the binarization value is 0 or 1, and in some embodiments, the determining of the flame image frame in the free image frame specifically comprises:
obtaining a red value, a green value and a blue value of the color component values corresponding to the red, green and blue channels;
if the red value, the green value and the blue value meet a flame discrimination rule, confirming that the free image frame is a flame image frame;
the flame discrimination rule is obtained by the following formula:
wherein ,representing the red value in the red, green and blue three channels, ">Represents the green value in the red, green and blue three channels, ">Representing blue in the red, green and blue three channelsValue of->Threshold value representing red value +_>Representing the saturation of the red value +.>Threshold value representing saturation of red value, +.>Representation->Threshold of->Representation->Threshold of->Representation->Is set to a threshold value of (2). In some embodiments, the risk parameters in the flame image frame are wind speed in the designated room, distance of adjacent objects, flammability of adjacent objects, and risk of flame fuel.
In some embodiments, calculating the median and variance of fire hazards specifically includes:
acquiring a historical risk level coefficient corresponding to the risk parameter, and calculating a risk intensity value corresponding to the risk parameter according to the historical risk level coefficient;
determining a risk ratio corresponding to the risk parameter according to the risk intensity value;
and calculating the hazard ratio and the hazard parameter to obtain a fire hazard median value and a fire hazard variance.
In some embodiments, further comprising: when the fire hazard level of the designated room is lower than the fire threshold period, the designated room is regarded as a normal event and the present situation is maintained.
In a second aspect, the present application provides an intelligent fire alarm system comprising:
the monitoring image frame set extraction module is used for acquiring the real-time monitoring video of the appointed room and extracting all monitoring image frames in the real-time monitoring video of the appointed room so as to obtain a monitoring image frame set;
the flame image frame determining module is used for carrying out gray conversion on the monitoring image frame set to obtain a gray image frame set, determining dynamic freeness according to the gray image frame set, extracting free image frames in the gray image frame set according to the dynamic freeness, calculating color component values in the free image frames, and determining flame image frames in the free image frames according to the color component values;
the fire hazard level determining module is used for acquiring hazard parameters in the flame image frame, calculating a fire hazard median and a fire hazard variance according to the hazard parameters, performing membership conversion on the fire hazard median and the fire hazard variance to obtain fire hazard membership values, and determining the fire hazard level of the appointed room according to the fire hazard membership values;
and the fire alarm control module is used for sending a fire early warning signal to the family members in the designated room when the fire hazard level of the designated room is in the fire threshold section, sending a fire alarm signal to the family members in the designated room when the fire hazard level of the designated room exceeds the fire threshold section, and simultaneously sending alarm information to a safety center.
In a third aspect, the present application provides a computer device comprising a memory storing code and a processor configured to obtain the code and to perform the control method of the intelligent fire alarm system described above.
In a fourth aspect, the present application provides a computer readable storage medium storing a computer program which when executed by a processor implements the control method of the intelligent fire alarm system described above.
The technical scheme provided by the embodiment of the application has the following beneficial effects:
according to the intelligent fire alarm system and the control method thereof, a real-time monitoring video of a designated room is firstly obtained, all monitoring image frames in the real-time monitoring video of the designated room are extracted, so that a monitoring image frame set is obtained, gray conversion is carried out on the monitoring image frame set, a gray image frame set is obtained, dynamic freeness is determined according to the gray image frame set, free image frames in the gray image frame set are extracted according to the dynamic freeness, color component values in the free image frames are calculated, flame image frames in the free image frames are determined according to the color component values, dangerous parameters in the flame image frames are obtained, a fire hazard median value and a fire hazard variance are calculated according to the dangerous parameters, a fire hazard membership value is obtained, a fire hazard dangerous level of the designated room is determined according to the fire hazard membership value, when the fire hazard level of the designated room is in a fire threshold section, a fire early warning signal is sent to family members of the designated room, when the fire hazard level of the designated room exceeds the fire hazard threshold section, a fire hazard signal is sent to the designated family members, and the fire hazard signal is sent to the fire hazard threshold section, and the fire hazard level of the fire hazard image frame is accurately estimated according to the fire hazard threshold section, and the fire hazard risk level of the fire hazard image frame is determined, and the fire hazard alarm information can be finally calculated.
Drawings
FIG. 1 is an exemplary flow chart of a method of controlling an intelligent fire alarm system according to some embodiments of the present application;
FIG. 2 is a schematic diagram of exemplary hardware and/or software of an intelligent fire alarm system according to some embodiments of the present application;
fig. 3 is a schematic structural view of a computer device implementing a control method of an intelligent fire alarm system according to some embodiments of the present application.
Detailed Description
The method comprises the steps of obtaining a real-time monitoring video of a designated room, extracting all monitoring image frames in the real-time monitoring video of the designated room, obtaining a monitoring image frame set, carrying out gray conversion on the monitoring image frame set, obtaining a gray image frame set, determining dynamic freeness according to the gray image frame set, extracting free image frames in the gray image frame set according to the dynamic freeness, calculating color component values in the free image frames, determining flame image frames in the free image frames according to the color component values, obtaining dangerous parameters in the flame image frames, calculating a fire hazard median and a fire hazard variance according to the dangerous parameters, carrying out membership conversion on the fire hazard median and the fire hazard variance, obtaining a fire membership value, determining fire hazard levels of the designated room according to the fire hazard median, sending fire signals to family members of the designated room when the fire hazard levels of the designated room are in a fire threshold section, sending fire hazard signals to family members of the designated room when the fire hazard levels of the designated room are in excess of the fire threshold section, simultaneously sending fire hazard signals to the family members of the designated room, and simultaneously carrying out fire hazard alarm information to the fire hazard median and evaluating the fire hazard error rate.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments. Referring to fig. 1, which is an exemplary flowchart of a control method of an intelligent fire alarm system according to some embodiments of the present application, the control method 100 of the intelligent fire alarm system mainly includes the steps of:
in step 101, a real-time monitoring video of a designated room is obtained, and all monitoring image frames in the real-time monitoring video of the designated room are extracted, so that a monitoring image frame set is obtained.
In particular, a monitoring system to be used, such as a Closed Circuit Television (CCTV) system or a network camera, can be determined, so that the selected system can provide a real-time video stream and has the functions of video recording and image extraction;
installing the image pickup equipment in a designated room, and carrying out proper configuration according to the requirement to ensure that the image pickup equipment can work normally and provide a real-time video stream;
connecting the camera equipment with video recording equipment or a network so that a real-time video stream can be transmitted to a monitoring system;
using management software or application programs provided by the monitoring system to access the monitoring system through network connection or other appropriate modes, so as to ensure that the monitoring system has correct access rights and credentials;
according to the requirement, a video recording function is started to keep the real-time monitoring video, meanwhile, a screenshot or image extraction function provided by a monitoring system is used for extracting monitoring image frames from the real-time monitoring video, and then the extracted monitoring image frames are stored in a proper position or a storage medium for subsequent analysis, processing or archiving.
In step 102, gray conversion is performed on the monitored image frame set to obtain a gray image frame set, dynamic freeness is determined according to the gray image frame set, the free image frames in the gray image frame set are extracted according to the dynamic freeness, color component values in the free image frames are calculated, and flame image frames in the free image frames are determined according to the color component values.
In some embodiments, the gray level conversion is performed on the monitored image frame set, so that the gray level image frame set is obtained by the following method, namely:
acquiring an RGB image frame set of the monitoring image frame set, and determining three channel pixel values corresponding to the RGB image frame set;
calculating the average number of the three-channel pixel values as the pixel value of the corresponding gray level image;
when the pixel value of the gray image exceeds a pixel threshold value, carrying out normalization processing on the pixel value of the gray image to obtain the pixel value of the gray image smaller than the pixel threshold value; and so on, converting all the RGB images in the monitoring image frame set into gray scale images, thereby obtaining a gray scale image frame set, which is not described herein.
In some embodiments, the extraction of the free image frames in the grayscale image frame set may be performed in the following manner: firstly, three continuous gray image frames in the gray image frame set can be selected, gray difference values of an intermediate frame, a front frame and a rear frame in the three gray image frames are calculated, and the gray difference values are converted to obtain dynamic freeness; when the dynamic freeness exceeds a dynamic freeness threshold value, determining that the intermediate frame is a freeness image frame;
wherein the dynamic freeness is determined according to the following formula:
wherein ,representing +.>Line->Dynamic freeness of column,/->Representing the +.f in the gray-scale image frame of the previous frame>Line->Pixel value of column +.>Representing the +.f in the gray-scale image frame of the intermediate frame>Line->Pixel value of column +.>Representing +.>Line->Pixel value of column +.>The gray level difference between the gray level image frame of the previous frame and the gray level image frame of the middle frame is binarized, the binarization value is 0 or 1,the gray level difference binarization processing of the intermediate frame gray level image frame and the rear frame gray level image frame is shown, and the binarization value is 0 or 1.
In some embodiments, determining the flame image frames in the free image frames may specifically be performed by:
obtaining a red value, a green value and a blue value of the color component values corresponding to the red, green and blue channels;
if the red value, the green value and the blue value meet a flame discrimination rule, confirming that the free image frame is a flame image frame;
the flame discrimination rule is obtained by the following formula:
wherein ,representing the red value in the red, green and blue three channels, ">Represents the green value in the red, green and blue three channels, ">Represents the blue value in the red, green and blue three channels, ">Threshold value representing red value +_>Representing the saturation of the red value +.>Threshold value representing saturation of red value, +.>Representation->Threshold of->Representation->Threshold of->Representation->Is set to a threshold value of (2).
In step 103, acquiring dangerous parameters in the flame image frame, calculating a fire hazard median and a fire hazard variance according to the dangerous parameters, performing membership conversion on the fire hazard median and the fire hazard variance to obtain fire hazard membership values, and determining the fire hazard level of the appointed room according to the fire hazard membership values.
The dangerous parameters in the flame image frame in the application are the wind speed in the designated room, the distance between adjacent objects, the flammability of the adjacent objects and the risk of flame fuel.
In some embodiments, the median and variance of fire hazards may be calculated specifically by:
acquiring a historical risk level coefficient corresponding to the risk parameter, and calculating a risk intensity value corresponding to the risk parameter according to the historical risk level coefficient;
determining a risk ratio corresponding to the risk parameter according to the risk intensity value;
and calculating the hazard ratio and the hazard parameter to obtain a fire hazard median value and a fire hazard variance.
It should be noted that, in some embodiments, historical data related to the risk parameters and the risk levels are collected, where the data may be obtained from, for example, past records, laboratory tests, monitoring instruments, databases, etc., the collected data may be preprocessed and cleaned, for example, to remove outliers, process missing data, smooth data, etc., so as to ensure reliability and consistency of the data, the preprocessed data is analyzed, and a relationship model between the risk parameters and the risk levels is established, which may be implemented by using methods such as statistical analysis, machine learning algorithm, regression analysis, etc., and the relationship model established by training the historical data is used to determine coefficients between the risk parameters and the risk levels, and the historical risk level coefficients corresponding to the risk parameters are extracted from the trained model, which are not described herein.
It should be noted that, in some embodiments, determining the risk intensity value corresponding to the risk parameter according to the historical risk level coefficient may be specifically implemented in the following manner, that is:
determination of the firstThe corresponding +.>Historical risk rating coefficient->；
Determination of the firstThe corresponding +.>Historical risk rating coefficient->；
Determination of the firstArithmetic mean value of the individual risk parameters +.>；
Determination of the firstArithmetic mean value of the individual risk parameters +.>；
According to the firstThe corresponding +.>Historical risk rating coefficient->Said->The corresponding +.>Historical risk rating coefficient->Said->Arithmetic mean value of the individual risk parameters +.>And said->Arithmetic mean value of the individual risk parameters +.>Determining a dangerous intensity value corresponding to the dangerous parameter, wherein the dangerous intensity value corresponding to the dangerous parameter is determined by adopting the following formula:
wherein ,indicate->Dangerous intensity value corresponding to each dangerous parameter, +.>Indicate->Personal risk parameters and->Covariance of individual risk parameters, +.> ,/>Is not->The rest of->One of the numbers.
Additionally, in some embodiments, the risk ratio corresponding to the risk parameter may be determined by the following equation:
wherein ,indicate->Risk ratio corresponding to the individual risk parameters +.>Additionally, in some embodiments, the median fire hazard and the variance of fire hazards may be determined by the following formula, namely:
wherein ,indicating median fire hazard, < >>Representing the fire hazard variance> and />Generated from the measured data of each influencing factor, < >>Indicate->Risk ratio of the corresponding parameter of the individual risk parameters +.>。
In some embodiments, membership transformations on the median fire risk and the variance of fire risk may be transformed using the following formulas:
wherein ,representation->Membership value of>Indicated as +.>Exponential function of>Indicate->Median>And->Individual fire hazard variance->Normal random number generated,/->Representing the variance of fire hazard and />Normal random number generated,/->Is constant and is generally 0.005.
In some embodiments, the fire hazard level may be determined using the following equation:
wherein ,indicating fire hazard level,/->Representing the number of membership degree generation required,/->Representing the maximum value thereof.
In step 104, when the fire hazard level of the designated room is in the fire threshold section, a fire early warning signal is sent to the family members of the designated room, and when the fire hazard level of the designated room exceeds the fire threshold section, a fire alarm signal is sent to the family members of the designated room, and alarm information is sent to a security center at the same time.
When the fire hazard level of the designated room is lower than the fire threshold section, the fire hazard level can be regarded as a normal event and the current situation is maintained;
the fire early warning signal sent in the above steps includes flame image frames, fire hazard level information, and reminding information for reminding family members in the room to process the fire, etc.;
the transmitted fire alarm signal comprises a monitoring video segment and fire hazard level information, and reminding information and the like for reminding family members in the room to dial a fire rescue phone;
the sent alarm information comprises information such as a monitoring video segment, a fire hazard level, hazard parameters, an alarm place and the like, so that a safety center can conveniently and timely know the condition of a fire scene and execute related rescue work.
In some embodiments, sending the alarm information to the security center is specifically: means for establishing a communication connection with the security center using wired communication, network communication, or wireless transmission techniques, such as telephone lines, ethernet, wi-Fi, 4G, etc.;
determining the format and content of alarm information including alarm type, alarm source, alarm time, alarm position and other information, and ensuring that the alarm information can accurately convey the position and urgency of fire disaster;
setting the selected communication mode, if wired communication is used, ensuring reliable physical connection between the alarm system and the security center, if network communication is used, setting network connection parameters of the alarm system and the security center, such as IP address, port number and the like, and if wireless transmission technology is used, performing corresponding configuration and pairing process;
when fire alarm is triggered, the alarm system automatically sends alarm information to a safety center;
and (3) performing system test and debugging to ensure that the alarm system can accurately send alarm information to the safety center. The testing process may include simulating a fire situation, triggering an alarm system and checking whether the alarm information is properly transmitted to the security center.
Additionally, in another aspect of the present application, in some embodiments, the present application provides an intelligent fire alarm system, referring to FIG. 2, which is a schematic diagram of exemplary hardware and/or software of the intelligent fire alarm system shown in accordance with some embodiments of the present application, the intelligent fire alarm system 200 comprising: the monitoring image frame set extraction module 201, the flame image frame determination module 202, the fire hazard class determination module 203, and the fire alarm control module 204 are respectively described as follows:
the monitoring image frame set extraction module 201 is mainly used for acquiring real-time monitoring video of a designated room, and extracting all monitoring image frames in the real-time monitoring video of the designated room, so as to obtain a monitoring image frame set;
the flame image frame determining module 202 is mainly used for carrying out gray conversion on the monitoring image frame set to obtain a gray image frame set, determining dynamic freeness according to the gray image frame set, extracting free image frames in the gray image frame set according to the dynamic freeness, calculating color component values in the free image frames, and determining flame image frames in the free image frames according to the color component values;
the fire hazard level determining module 203 in the present application, the fire hazard level determining module 203 is mainly configured to obtain hazard parameters in the flame image frame, calculate a fire hazard median and a fire hazard variance according to the hazard parameters, perform membership conversion on the fire hazard median and the fire hazard variance to obtain a fire hazard membership value, and determine a fire hazard level of the designated room according to the fire hazard membership value;
the fire alarm control module 204 in the present application is mainly configured to send a fire early warning signal to a family member in the designated room when the fire hazard level of the designated room is in a fire threshold segment, and send a fire alarm signal to the family member in the designated room and send alarm information to a security center at the same time when the fire hazard level of the designated room exceeds the fire threshold segment.
In addition, the application also provides computer equipment, which comprises a memory and a processor, wherein the memory stores codes, and the processor is configured to acquire the codes and execute the control method of the intelligent fire alarm system.
In some embodiments, reference is made to FIG. 3, which is a schematic structural diagram of a computer device employing a control method of an intelligent fire alarm system, according to some embodiments of the application. The control method of the intelligent fire alarm system in the above embodiment may be implemented by a computer device shown in fig. 3, which includes at least one processor 301, a communication bus 302, a memory 303, and at least one communication interface 304.
Processor 301 may be a general purpose central processing unit (central processing unit, CPU), application specific integrated circuit (applicationspecific integrated circuit, ASIC), or execution of one or more control methods for controlling the intelligent fire alarm system of the present application.
Communication bus 302 may include a path to transfer information between the above components.
The memory 303 may be, but is not limited to, a Read Only Memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (random access memory, RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read only memory (electrically erasable programmable readonly memory, EEPROM), a compact disc read only memory (compact disc readonly Memory, CDROM) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory 303 may be stand alone and be coupled to the processor 301 via the communication bus 302. Memory 303 may also be integrated with processor 301.
The memory 303 is used for storing program codes for executing the scheme of the present application, and the processor 301 controls the execution. The processor 301 is configured to execute program code stored in the memory 303. One or more software modules may be included in the program code. The control method of the intelligent fire alarm system in the above embodiment may be implemented by one or more software modules in the program codes in the processor 301 and the memory 303.
Communication interface 304, using any transceiver-like device for communicating with other devices or communication networks, such as ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local area networks, WLAN), etc.
In a specific implementation, as an embodiment, a computer device may include a plurality of processors, where each of the processors may be a single core (single cpu) processor or may be a multi-core (multi-cpu) processor. A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
The computer device may be a general purpose computer device or a special purpose computer device. In particular implementations, the computer device may be a desktop, laptop, web server, palmtop (personal digital assistant, PDA), mobile handset, tablet, wireless terminal device, communication device, or embedded device. Embodiments of the application are not limited to the type of computer device.
In addition, the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the control method of the intelligent fire control fire alarm system when being executed by a processor.
In summary, in the intelligent fire alarm system and the control method thereof disclosed by the embodiment of the application, firstly, a real-time monitoring video of a designated room is obtained, all monitoring image frames in the real-time monitoring video of the designated room are extracted, thereby a monitoring image frame set is obtained, the monitoring image frame set is subjected to gray conversion, a gray image frame set is obtained, a dynamic freeness degree is determined according to the gray image frame set, free image frames in the gray image frame set are extracted according to the dynamic freeness degree, a color component value in the free image frame is calculated, a flame image frame in the free image frame is determined according to the color component value, a hazard parameter in the flame image frame is obtained, a fire hazard median and a fire hazard variance are calculated according to the hazard parameter, a fire hazard membership value is obtained, a fire hazard early warning signal is sent to family members of the designated room when the fire hazard level is in a fire threshold section, a fire hazard early warning signal is sent to the designated family members when the fire hazard level exceeds the threshold section, a fire hazard alarm signal is sent to the designated family members, and the fire hazard class is simultaneously, the fire hazard alarm signal is sent to the fire hazard class is accurately, and the fire hazard alarm signal is sent to the fire hazard class is determined according to the fire hazard threshold section, and the fire hazard class information is determined, and the fire hazard alarm information is finally, and the fire hazard alarm information is calculated according to the fire hazard class information is calculated.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. A control method of an intelligent fire alarm system, comprising:
acquiring a real-time monitoring video of a designated room, and extracting all monitoring image frames in the real-time monitoring video of the designated room, thereby obtaining a monitoring image frame set;
performing gray conversion on the monitoring image frame set to obtain a gray image frame set, determining dynamic freeness according to the gray image frame set, extracting free image frames in the gray image frame set according to the dynamic freeness, calculating color component values in the free image frames, and determining flame image frames in the free image frames according to the color component values;
acquiring dangerous parameters in the flame image frame, calculating a fire hazard median and a fire hazard variance according to the dangerous parameters, performing membership conversion on the fire hazard median and the fire hazard variance to obtain fire membership values, and determining fire hazard grades of the designated rooms according to the fire membership values;
and when the fire hazard level of the appointed room is in the fire threshold section, sending a fire early warning signal to family members of the appointed room, and when the fire hazard level of the appointed room exceeds the fire threshold section, sending a fire alarm signal to the family members of the appointed room and simultaneously sending alarm information to a safety center.
2. The method of claim 1, wherein performing gray scale conversion on the set of monitored image frames specifically comprises:
acquiring an RGB image frame set of the monitoring image frame set, and determining three channel pixel values corresponding to the RGB image frame set;
calculating the average number of the three-channel pixel values as the pixel value of the corresponding gray level image;
and when the pixel value of the gray image exceeds a pixel threshold value, carrying out normalization processing on the pixel value of the gray image to obtain the pixel value of the gray image smaller than the pixel threshold value.
3. The method of claim 2, wherein extracting the free image frames in the set of gray scale image frames comprises:
selecting three continuous gray image frames in the gray image frame set, calculating gray difference values of an intermediate frame, a front frame and a rear frame in the three gray image frames, and converting the gray difference values to obtain dynamic freeness;
when the dynamic freeness exceeds a dynamic freeness threshold value, determining that the intermediate frame is a freeness image frame;
wherein the dynamic freeness is determined according to the following formula:
wherein ,/>Representation of free graphIn frame +.>Line->Dynamic freeness of column,/->Representing the +.f in the gray-scale image frame of the previous frame>Line->Pixel value of column +.>Representing the +.f in the gray-scale image frame of the intermediate frame>Line->Pixel value of column +.>Representing +.>Line->Pixel values of columns,/-, for>The gray level difference binarization processing of the gray level image frame of the previous frame and the gray level image frame of the middle frame is represented, and the binarization value is 0 or 1 +.>The gray level difference binarization processing of the intermediate frame gray level image frame and the rear frame gray level image frame is shown, and the binarization value is 0 or 1.
4. The method of claim 1, wherein determining a flame image frame of the free image frames specifically comprises:
obtaining a red value, a green value and a blue value of the color component values corresponding to the red, green and blue channels;
if the red value, the green value and the blue value meet a flame discrimination rule, confirming that the free image frame is a flame image frame;
wherein the flame discrimination rules are as follows:
wherein ,/>Representing the red value in the red-green-blue three channel,represents the green value in the red, green and blue three channels, ">Represents the blue value in the red, green and blue three channels, ">Threshold value representing red value +_>Indicating the saturation of the red value,
threshold value representing saturation of red value, +.>Representation->Threshold of->Representation->Representation->Is set to a threshold value of (2).
5. The method of claim 1, wherein the hazard parameters in the flame image frame include wind speed in the designated room, distance of adjacent objects, flammability of adjacent objects, and hazard of flame fuel.
6. The method of claim 1, wherein calculating the median and variance of fire hazards comprises:
acquiring a historical risk level coefficient corresponding to the risk parameter, and calculating a risk intensity value corresponding to the risk parameter according to the historical risk level coefficient;
determining a risk ratio corresponding to the risk parameter according to the risk intensity value;
and calculating the hazard ratio and the hazard parameter to obtain a fire hazard median value and a fire hazard variance.
7. The method as recited in claim 1, further comprising: a normal event is considered when the fire hazard level of the designated room is below a fire threshold period.
8. An intelligent fire alarm system, comprising:
the monitoring image frame set extraction module is used for acquiring the real-time monitoring video of the appointed room and extracting all monitoring image frames in the real-time monitoring video of the appointed room so as to obtain a monitoring image frame set;
the flame image frame determining module is used for carrying out gray conversion on the monitoring image frame set to obtain a gray image frame set, determining dynamic freeness according to the gray image frame set, extracting free image frames in the gray image frame set according to the dynamic freeness, calculating color component values in the free image frames, and determining flame image frames in the free image frames according to the color component values;
the fire hazard level determining module is used for acquiring hazard parameters in the flame image frame, calculating a fire hazard median and a fire hazard variance according to the hazard parameters, performing membership conversion on the fire hazard median and the fire hazard variance to obtain fire hazard membership values, and determining the fire hazard level of the appointed room according to the fire hazard membership values;
and the fire alarm control module is used for sending a fire early warning signal to the family members in the designated room when the fire hazard level of the designated room is in the fire threshold section, sending a fire alarm signal to the family members in the designated room when the fire hazard level of the designated room exceeds the fire threshold section, and simultaneously sending alarm information to a safety center.
9. A computer device comprising a memory storing code and a processor configured to acquire the code and to perform the control method of the intelligent fire alarm system of any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the control method of the intelligent fire alarm system according to any one of claims 1 to 7.
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