CN103150856B - Fire flame video monitoring and early warning system - Google Patents
Fire flame video monitoring and early warning system Download PDFInfo
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Abstract
The invention discloses a fire flame video monitoring and early warning system and a fire flame detection method. The fire flame video monitoring and early warning system comprises a network video CCD (Charge Coupled Device) camera, a video management module, a fire flame detection subsystem and an early warning subsystem. The fire flame detection method performs information integration of the static and dynamic features of fire flames and provides a fire judgment algorithm based on a neural network and D-S (Dempster-Shafer) evidence judgment, the algorithm can provide three early warning threshold values according to the magnitude of a fire, and the three early warning threshold values correspond to three levels of early warning modes, i.e. on-scene sound and light warning, remote short message warning and network warning. The invention provides the fire flame video monitoring system which monitors early small fire sources and judges the fire flame level on the basis of multi-feature information integration, and has the advantages of strong anti-interference capability, high space adaptability, high fire early warning accuracy and low false warning rate.
Description
Technical field
The invention belongs to public safety field, relate to fire monitoring early warning system, be specifically related to a kind of fire disaster flame video monitor and early warning system and fire disaster flame detection method.
Background technology
Fire is the major hidden danger that threatens human survival, and especially in recent years, the fire taking place frequently has caused great Loss of Life and property to people.According to statistics, China is total to 125402 of breaking out of fires in 2011, causes 1106 people's death, 19.8 hundred million yuan of direct economic losses.The wildfire that in June, 2011, Shanghai occurred, causes 58 people's death, 1.58 hundred million yuan of direct economic losses.Find in time fire source and take in time effective fire protection to put out incipient flame, can greatly reduce various losses.
Fire detector, as the core component of fire early-warning system, has approximately experienced from the development course of heat detector → ion smoke detector → optical detector of fire smoke → air-sensitive detector → infrared eye → video detector.Be mainly used in indoor fire detection among a small circle as the temperature-sensitive of traditional fire detector, sense cigarette, air-sensitive class detector, have that space applicability is limited, information reliability is poor, be subject to the shortcomings such as external interference.And infrared eye is expensive, limit its usable range.Video detector is a kind of taking image processing techniques as basic fire detector, utilize camera supervised monitoring point sight, by caught video information is processed, analyzed, and then realize the detection of fire disaster flame and the early warning of fire, antijamming capability is stronger, and space applicability is strong.In video fire hazard early warning technology, fire disaster flame detection method is core, although domestic expert was carrying out certain research and development to video fire hazard flame detecting method in recent years, proven technique rarely has application, and corresponding product also seldom emerges.
Summary of the invention
The object of the invention is to: a kind of fire disaster flame video monitor and early warning system and fire disaster flame detection method are provided, it is the fire disaster flame video frequency monitoring system of the trickle burning things which may cause a fire disaster of monitoring during Initial Stage of Fire, and merge and carry out the differentiation of fire disaster flame rank based on multicharacteristic information, antijamming capability is strong, space applicability is strong, fire alarm accuracy is high, and rate of false alarm is low.
Technical solution of the present invention is: fire disaster flame video monitor and early warning system adopts the distributed system architecture of Internet of Things to dispose, and is made up of Internet video CCD camera, video management module, fire disaster flame detection subsystem and early warning subsystem; Described Internet video CCD camera has been responsible for imaging, supports WiFi wireless transmission, supports TCP/IP network remote image transmitting simultaneously, and has detection of dynamic recording function; Described video management module adopts generic video administration module; Described fire disaster flame detection subsystem is obtained the realtime graphic of Internet video CCD camera by image pick-up card, process and obtain after image by digital image processing techniques, call fire disaster flame discriminating program, provide and whether have the judgement of condition of a fire conclusion, if there is the condition of a fire to provide the judgement conclusion of condition of a fire rank; Described early warning subsystem adopts three grades of modes of warnings, i.e. on-the-spot acousto-optic early warning, remote short messages breath early warning and Network Warning; While there is the one-level condition of a fire, the voice guard and the warning light that are arranged in the monitoring point in monitored district are responsible for realizing on-the-spot acousto-optic early warning, and alarm command is independently assigned by monitoring site control module; When finding the secondary condition of a fire by Java Servlet real time access early warning database and in monitoring point, Android handset server ceases early warning to specifying person liable to send early warning short message to realize remote short messages; Wireless transmission is utilized WiFi technology, and the transmission of early warning data adopts encrypted transmission, guarantees the security of data; When the condition of a fire of passing on when fire disaster flame detection system reaches Senior Three level, jump out warning window and picture, realize network alarming, and transmit on-the-spot fire fact.
The present invention also proposes a kind of fire disaster flame detection method, Static and dynamic feature to fire disaster flame is carried out information fusion, provide a kind of fire based on neural network and the judgement of D-S evidence and differentiate algorithm, this algorithm can provide three threshold value of warning according to condition of a fire size, the modes of warning of three the corresponding on-the-spot sound and light alarms of threshold value of warning, the warning of long-range short message and these three ranks of network alarming; Specific as follows:
Step 1: described Internet video CCD camera completes field imaging, image pick-up card obtains the on-the-spot digital picture that Internet video CCD camera transmits, and utilizes digital image processing techniques to carry out pre-service to this digital picture;
Step 2: utilize gray scale thresholding technology by the motion feature of the variation detection of fires flame of the gray scale thresholding of two two field pictures before and after comparing; Whether there is the area change feature of growth detection fire disaster flame by two two field picture flame area before and after comparing; Flame detection color characteristic in HIS color space; Realize the differentiation to naturally light and daylight lamp monochrome information background interference by the circularity feature of extracting fire disaster flame; The wedge angle number that extracts fire disaster flame, utilizes the wedge angle number of fire disaster flame along with the feature that presents irregular rule burning time is using the variation of the wedge angle number of fire disaster flame as one of Fire Criterion; Fire disaster flame burning initial stage predominant frequency is in 12Hz, and the variation of surrounding environment is not remarkable to frequency influence, therefore extracts the blinking characteristics of fire disaster flame as one of Fire Criterion;
Step 3: gather the fire disaster flame data sample of monitoring point, select the fire disaster flame data sample to monitoring point in advance to train the weights and the threshold value that obtain the circularity feature, the wedge angle number of fire disaster flame and these the four kinds of fire disaster flame features of flicker frequency feature of fire disaster flame that comprise fire disaster flame color characteristic, fire disaster flame;
Step 4: utilize formula (1) to obtain fire disaster flame threshold value of warning:
（1）
In formula:
be
iindividual fire disaster flame feature output,
,
h 0indicate without fire disaster flame,
h 1indicate fire disaster flame;
,
m i (H
0) and
m i (
h 1) be
ithe detection probability of individual fire disaster flame feature and probability of miscarriage of justice;
Step 5: utilize above-mentioned detected real-time threshold value and empirical value relatively to realize fire disaster flame and detect in real time and early warning.
Advantage of the present invention is:
1, adopt the distributed system architecture of Internet of Things to dispose, space applicability is strong, both can, for warehouse, indoor fire monitoring and the early warning among a small circle of laboratory class, also can monitor and early warning for forest class large-range fire disaster.
2, Adoption Network video CCD camera obtains monitoring point image, utilizes digital image processing techniques to make early warning system have higher antijamming capability and networked Characteristics, and cost performance is higher compared with infrared fire hazard monitoring system.
3, the Static and dynamic feature of fire disaster flame is carried out to information fusion, provide a kind of fire based on neural network and the judgement of D-S evidence and differentiate algorithm, the early warning of energy Quick, False Rate is lower.
4, adopt three grades of fire disaster flame early warning subsystems, can realize early warning system intellectuality according to the real-time flame in scene, scientific and reasonable and dispatch in an orderly manner fire occur time manpower, financial resources.
Brief description of the drawings
Fig. 1 is fire disaster flame video monitor and early warning system structural representation of the present invention.
Fig. 2 is fire disaster flame image detection process flow diagram.
Fig. 3 is many features fire disaster flame detection method schematic diagram.
Embodiment
Below in conjunction with brief description of the drawings technical solution of the present invention.
As shown in Figure 1, fire disaster flame video monitor and early warning system adopts the distributed system architecture of Internet of Things to dispose, and is made up of Internet video CCD camera, video management module, fire disaster flame detection subsystem and early warning subsystem; Described Internet video CCD camera has been responsible for imaging, supports WiFi wireless transmission, supports TCP/IP network remote image transmitting simultaneously, and has detection of dynamic recording function; Described video management module adopts generic video administration module; Described fire disaster flame detection subsystem is obtained the realtime graphic of Internet video CCD camera by image pick-up card, process and obtain after image by digital image processing techniques, call fire disaster flame discriminating program, provide and whether have the judgement of condition of a fire conclusion, if there is the condition of a fire to provide the judgement conclusion of condition of a fire rank; Described early warning subsystem adopts three grades of modes of warnings, i.e. on-the-spot acousto-optic early warning, remote short messages breath early warning and Network Warning; While there is the one-level condition of a fire, the voice guard and the warning light that are arranged in the monitoring point in monitored district are responsible for realizing on-the-spot acousto-optic early warning, and alarm command is independently assigned by monitoring site control module; When finding the secondary condition of a fire by Java Servlet real time access early warning database and in monitoring point, Android handset server ceases early warning to specifying person liable to send early warning short message to realize remote short messages; Wireless transmission is utilized WiFi technology, and the transmission of early warning data adopts encrypted transmission, guarantees the security of data; When the condition of a fire of passing on when fire disaster flame detection system reaches Senior Three level, jump out warning window and picture, realize network alarming, and transmit on-the-spot fire fact.
As shown in Figure 2,3, fire disaster flame detection method is that the Static and dynamic feature of fire disaster flame is carried out to information fusion, provide a kind of fire based on neural network and the judgement of D-S evidence and differentiate algorithm, this algorithm can provide three threshold value of warning according to condition of a fire size, the modes of warning of three the corresponding on-the-spot sound and light alarms of threshold value of warning, the warning of long-range short message and these three ranks of network alarming; Specific as follows:
Step 1: described Internet video CCD camera completes field imaging, image pick-up card obtains the on-the-spot digital picture that Internet video CCD camera transmits, and utilizes digital image processing techniques to carry out pre-service to this digital picture;
Step 2: utilize gray scale thresholding technology by the motion feature of the variation detection of fires flame of the gray scale thresholding of two two field pictures before and after comparing; Whether there is the area change feature of growth detection fire disaster flame by two two field picture flame area before and after comparing; Flame detection color characteristic in HIS color space; Realize the differentiation to naturally light and daylight lamp monochrome information background interference by the circularity feature of extracting fire disaster flame; The wedge angle number that extracts fire disaster flame, utilizes the wedge angle number of fire disaster flame along with the feature that presents irregular rule burning time is using the variation of the wedge angle number of fire disaster flame as one of Fire Criterion; Fire disaster flame burning initial stage predominant frequency is in 12Hz, and the variation of surrounding environment is not remarkable to frequency influence, therefore extracts the blinking characteristics of fire disaster flame as one of Fire Criterion;
Step 3: gather the fire disaster flame data sample of monitoring point, select the fire disaster flame data sample to monitoring point in advance to train the weights and the threshold value that obtain the circularity feature, the wedge angle number of fire disaster flame and these the four kinds of fire disaster flame features of flicker frequency feature of fire disaster flame that comprise fire disaster flame color characteristic, fire disaster flame;
Step 4: utilize formula (1) to obtain fire disaster flame threshold value of warning:
（1）
In formula:
be
iindividual fire disaster flame feature output,
,
h 0indicate without fire disaster flame,
h 1indicate fire disaster flame;
,
m i (H
0) and
m i (
h 1) be
ithe detection probability of individual fire disaster flame feature and probability of miscarriage of justice;
Step 5: utilize above-mentioned detected real-time threshold value and empirical value relatively to realize fire disaster flame and detect in real time and early warning.
Fire disaster flame early warning system is divided into perception terminal, data collection and analysis layer and three parts of terminal application platform, perception terminal comprises by The Cloud Terrace and is arranged on high resolution CCD video camera, voice guard and the warning light in the monitoring point in monitored district, data collection and analysis layer comprises video frequency collection card, Mysql database and the Android handset server in the computing machine that is arranged on each monitoring point, and terminal application platform is to have being connected to the Internet and having the computing machine of public network IP address of data processing function; Ccd video camera has been responsible for sight imaging in monitoring point, image pick-up card gathers image that ccd video camera becomes, by video management module, the digital picture reading is carried out to pre-service successively, each feature extraction, utilizes multicharacteristic information blending algorithm output early warning information; Adopt three grades of modes of warnings according to condition of a fire size, comprise on-the-spot acousto-optic early warning, long-range short message early warning and Network Warning; During Initial Stage of Fire, alarm command is independently assigned or is assigned by Surveillance center by monitoring site control module, the voice guard and the warning light that are arranged in the monitoring point in monitored district are responsible for realizing on-the-spot acousto-optic early warning, select to start simple and easy fire protection and eliminate the condition of a fire, or can hear that the person liable of alarm song adopts manual type to eliminate the condition of a fire near being positioned at monitoring point; If the condition of a fire does not weaken, start long-range short message modes of warning, when Android handset server is found the condition of a fire by Java Servlet real time access early warning database and in monitoring point, to specifying person liable to send early warning short message, now on-the-spot sound and light alarm is still effective; Specify person liable to the site disposal condition of a fire, if the intensity of a fire is still uncontrollable, now start network alarming, jump out warning window and picture, transmit far-end video information simultaneously, select to be reported to the police or automatic 110 warnings of system by the staff 110 of Surveillance center, employ the fire extinguishing of public fire protection facility.
Claims (1)
1. fire disaster flame video preprocessor alarm system, fire disaster flame video monitor and early warning system adopts the distributed system architecture of Internet of Things to dispose, and is made up of Internet video CCD camera, video management module, fire disaster flame detection subsystem and early warning subsystem; Described Internet video CCD camera has been responsible for imaging, supports WiFi wireless transmission, supports TCP/IP network remote image transmitting simultaneously, and has detection of dynamic recording function; Described video management module adopts generic video administration module; Described fire disaster flame detection subsystem is obtained the realtime graphic of Internet video CCD camera by image pick-up card, process and obtain after image by digital image processing techniques, call fire disaster flame discriminating program, provide and whether have the judgement of condition of a fire conclusion, if there is the condition of a fire to provide the judgement conclusion of condition of a fire rank; Described early warning subsystem adopts three grades of modes of warnings, i.e. on-the-spot acousto-optic early warning, remote short messages breath early warning and Network Warning; While there is the one-level condition of a fire, the voice guard and the warning light that are arranged in the monitoring point in monitored district are responsible for realizing on-the-spot acousto-optic early warning, and alarm command is independently assigned by monitoring site control module; When finding the secondary condition of a fire by Java Servlet real time access early warning database and in monitoring point, Android handset server ceases early warning to specifying person liable to send early warning short message to realize remote short messages; Wireless transmission is utilized WiFi technology, and the transmission of early warning data adopts encrypted transmission, guarantees the security of data; When the condition of a fire of passing on when fire disaster flame detection system reaches Senior Three level, jump out warning window and picture, realize network alarming, and transmit on-the-spot fire fact; It is characterized in that: fire disaster flame detection method is that the Static and dynamic feature of fire disaster flame is carried out to information fusion, provide a kind of fire based on neural network and the judgement of D-S evidence and differentiate algorithm, this algorithm can provide three threshold value of warning according to condition of a fire size, the modes of warning of three the corresponding on-the-spot sound and light alarms of threshold value of warning, the warning of long-range short message and these three ranks of network alarming; Specific as follows:
Step 1: described Internet video CCD camera completes field imaging, image pick-up card obtains the on-the-spot digital picture that Internet video CCD camera transmits, and utilizes digital image processing techniques to carry out pre-service to this digital picture;
Step 2: utilize gray scale thresholding technology by the motion feature of the variation detection of fires flame of the gray scale thresholding of two two field pictures before and after comparing; Whether there is the area change feature of growth detection fire disaster flame by two two field picture flame area before and after comparing; Flame detection color characteristic in HIS color space; Realize the differentiation to naturally light and daylight lamp monochrome information background interference by the circularity feature of extracting fire disaster flame; The wedge angle number that extracts fire disaster flame, utilizes the wedge angle number of fire disaster flame along with the feature that presents irregular rule burning time is using the variation of the wedge angle number of fire disaster flame as one of Fire Criterion; Fire disaster flame burning initial stage predominant frequency is in 12Hz, and the variation of surrounding environment is not remarkable to frequency influence, therefore extracts the blinking characteristics of fire disaster flame as one of Fire Criterion;
Step 3: gather the fire disaster flame data sample of monitoring point, select the fire disaster flame data sample to monitoring point in advance to train the weights and the threshold value that obtain the circularity feature, the wedge angle number of fire disaster flame and these the four kinds of fire disaster flame features of flicker frequency feature of fire disaster flame that comprise fire disaster flame color characteristic, fire disaster flame;
Step 4: utilize formula (1) to obtain fire disaster flame threshold value of warning:
（1）
In formula:
be
iindividual fire disaster flame feature output,
,
h 0indicate without fire disaster flame,
h 1indicate fire disaster flame;
,
m i (H
0) and
m i (
h 1) be
ithe detection probability of individual fire disaster flame feature and probability of miscarriage of justice;
Step 5: utilize the detected real-time threshold value of above-mentioned steps four formula (1) and empirical value relatively to realize fire disaster flame and detect in real time and early warning.
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| CN110853287A (en) * | 2019-09-26 | 2020-02-28 | 华南师范大学 | Flame real-time monitoring system and method based on Internet of things distributed architecture |
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