CN104952201A - Video fire-alarm monitoring system and method - Google Patents
Video fire-alarm monitoring system and method Download PDFInfo
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- CN104952201A CN104952201A CN201510173344.7A CN201510173344A CN104952201A CN 104952201 A CN104952201 A CN 104952201A CN 201510173344 A CN201510173344 A CN 201510173344A CN 104952201 A CN104952201 A CN 104952201A
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Abstract
The invention belongs to the field of fire monitoring equipment and specifically relates to a video fire-alarm monitoring system and method. Conventional fire monitoring equipment is triggered only when the flame temperature is near 1000 DEG C or the flame climbs up to several meters high or only when great damage already occurs, which means the best time for firefighting is already missed. The video fire-alarm monitoring system of the invention comprises a fire source monitoring unit and a fire source information processing unit in connection with the fire source monitoring unit. The fire source information processing unit comprises an image recognition module, an artificial intelligence flame identification module, a flame identification database module and a fire source locating module. A suspicious fire source can be rapidly discovered by the infrared remote sensing technique, the fire-alarm level is accurately determined by means of image recognition and artificial intelligence technology, the location of the fire source is precisely calculated, and the corresponding alarm is simultaneously sent to monitoring personnel and the monitoring system, so that the fire can be put out the first time, thereby minimizing the loss.
Description
Technical field
The invention belongs to fire-fighting monitoring equipment field, be specifically related to a kind of video fire alarm monitoring system and method.
Background technology
At present rested on more to the monitoring of fire alarm the contact stage.Such as: general temperature sensor must touch the temperature that flame just can detect flame.Namely the flip flop equipment of general indoor fire-fighting fountain head belongs to this type of.Again such as: smoke transducer is also to wait until that smoke particle reaches the detecting head just meeting alert trigger of sensor.
For aforementioned two kinds of equipment, because they are arranged on position near roof ceiling usually, when they detect fire alarm, flame may reach several meters high, and temperature also may reach close to thousand degree, misses the best opportunity of fire extinguishing already; Now can only spray into a large amount of water smoke to lower the temperature and starvation.As a result, even without the equipment destroyed by fire by big fire or high temperature and decoration, also can destroy by a large amount of water smoke, cause huge loss.
The best opportunity of fire extinguishing is normally when burning things which may cause a fire disaster just occurs.Now the flammable resource that can grasp of burning things which may cause a fire disaster is still limited, and self-temperature also can not be too high, also do not form low-pressure centre for ambient air, can not draw a large amount of oxygen and flow into.As long as just burning things which may cause a fire disaster can be put out in this stage simple fire extinguishing means.
In order to strive for best fire extinguishing opportunity, just must there is suitable equipment, can monitor in the very first time, judging really have fire source to occur, and accurately measure position occurs, and alarm.In the very first time, fire alarm can be put out like this, loss be dropped to minimum.
Because existing equipment can not complete this task, so the present invention is directed to this weakness, develop the new equipment based on the contour science and technology of temperature remote sensing, image recognition and artificial intelligence, complete within the shortest time at one stroke, the task in accurate detection fire alarm source.
Summary of the invention
First object of the present invention to judge whether fire alarm occurs an interior space accurately, or the burning things which may cause a fire disaster whether being likely evolved into fire alarm exists.In other words, be wish just to have started to occur in fire alarm, before also not becoming ouster le main disaster, just can do sth. before others have a chance to and detect, give the alarm to lower the injures and deaths of personnel and the loss of property.Second target is, after confirmation has had fire alarm or burning things which may cause a fire disaster exists, further can demarcate the position coordinates of this burning things which may cause a fire disaster in space.Fire-protection equipment so just can be assisted more effective for fire location, put out in the very first time.
For reaching above object, the technical solution used in the present invention is a kind of video fire alarm monitoring system, comprises burning things which may cause a fire disaster monitoring device, the burning things which may cause a fire disaster signal conditioning package be connected with described burning things which may cause a fire disaster monitoring device, and wherein said burning things which may cause a fire disaster signal conditioning package comprises:
Pattern recognition module, for processing the infrared image of described burning things which may cause a fire disaster monitoring device shooting;
Artificial intelligence flame recognition module, for the fire alarm rank of the infrared image after determination processing;
Flame Identification Data library module, the image data that temperature parameter and described burning things which may cause a fire disaster monitoring device for depositing monitored space are taken normal condition in its scope covered;
Burning things which may cause a fire disaster locating module, for according to the angle of described burning things which may cause a fire disaster monitoring device and locus, calculates the locus coordinate of burning things which may cause a fire disaster.
Further, described burning things which may cause a fire disaster monitoring device comprises infrared camera and at least 1 the visible image capturing head that at least 2 possess three-dimensional camera function; Described infrared camera is fixed on wall or roof, and rotation angle immobilizes, and described rotation angle is the angle rotated around the axle perpendicular to camera screen.
Further, described burning things which may cause a fire disaster monitoring device comprises at least 2 and possesses the camera that three-dimensional camera function has visible ray and infrared photoperceptivity concurrently; Described camera is fixed on wall or roof, and rotation angle immobilizes, and described rotation angle is the angle rotated around the axle perpendicular to camera screen.
Further, described burning things which may cause a fire disaster monitoring device comprises the infrared camera that at least 1 is fixed on roof, and the image area coverage of described infrared camera can contain whole monitoring range.
Further, described burning things which may cause a fire disaster monitoring device comprises 1 infrared camera be fixed on the X-Y slide block on roof, by described infrared camera being moved to the planimetric position coordinate obtaining burning things which may cause a fire disaster above burning things which may cause a fire disaster.
Further, described burning things which may cause a fire disaster signal conditioning package also comprises:
Monitoring image database, for filing to the image data of described burning things which may cause a fire disaster monitoring device shooting;
Secret protection module, for regularly or irregularly destroying the described image data that described burning things which may cause a fire disaster monitoring device is taken according to instruction.
A kind of video fire alarm monitoring method, comprises the following steps:
(1) carry out for the environment residing for burning things which may cause a fire disaster monitoring device the optimum configurations comprising minimum temperature sensor;
(2) described burning things which may cause a fire disaster monitoring device captures the burning things which may cause a fire disaster higher than described minimum temperature sensor and starts to take the infrared image of burning things which may cause a fire disaster;
(3) burning things which may cause a fire disaster signal conditioning package utilizes the infrared image of pattern recognition technique to described burning things which may cause a fire disaster to process;
(4) result of the infrared image of described burning things which may cause a fire disaster is screened whether breaking out of fire by artificial intelligence flame recognition module;
(5) when described artificial intelligence flame recognition module result of determination is for " having fire hazards ", to fire alarm monitoring, personnel send sound and light alarm.
Further, in step (4), the result of determination of artificial intelligence flame recognition module comprises " without fire hazards ", " observation ", " having fire hazards ", " automatically starting fire-fighting program ".
Further, in step (4), also comprise secret protection manner of execution, comprise the following steps:
(401) all image datas file, and transfer to artificial intelligence flame recognition module analyzing and processing, and regularly or are irregularly destroyed according to instruction by secret protection module;
(402) if artificial intelligence flame recognition module result of determination is " without fire hazards ", go to step (403); If artificial intelligence flame recognition module result of determination is " having fire hazards ", go to step (404);
(403) cancel operation or remove and report to the police;
(404) image data is transmitted background monitoring system monitor screen, and trigger sound and light alarm equipment;
(405) report to the police if fire alarm monitoring personnel process " having fire hazards " in the given time in time, proceed to step (406), if do not processed in time, then after the schedule time, proceed to step (407);
(406) if fire alarm monitoring personnel judge that " having fire hazards " is not true, then step (403) is manually proceeded to; If fire alarm monitoring personnel judge that " having fire hazards " is true, then manually proceed to step (407);
(407) personnel or artificial intelligence flame recognition module startup fire protection warning function is monitored by fire alarm.
Further, also comprise step (6): determine burning things which may cause a fire disaster coordinate, and circular is to fire alarm monitoring personnel, sends described burning things which may cause a fire disaster coordinate to fire fighting equipment simultaneously.
Further, described video fire alarm monitoring method also comprises the flame Identification Data storehouse of the accuracy set up for improving artificial intelligence flame recognition module, comprising:
General scene database, for preserving various possible common burning things which may cause a fire disaster scene;
Special screne database, for recording position and the flame intensity of monitored place one or more burning things which may cause a fire disaster distinctive.
Further, the parameter arranged in step (1) also comprises space type, number of heat source, thermal source coordinate, thermal source maximum permissible temperature.
Effect of the present invention is:
The very first time that 1, can occur in the condition of a fire makes rapid reaction to it, and accurately location burning things which may cause a fire disaster coordinate, makes the condition of a fire just be controlled timely and effectively in the initial period, avoid the expansion of the condition of a fire.
2, decrease the destructiveness in fire extinguishing procedure, reduce damage to property.
3, sensitivity and the accuracy of monitoring system can be improved by outdoor scene training.
4, reduce casualties and reduce fire fighter turn out for work frequency, reduce fire fighter risk.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of video fire alarm monitoring system of the present invention;
Fig. 2 is Stefan and Boltzmann radiation temperature characteristic schematic diagram;
Fig. 3 is embodiment of the present invention moderate heat source images handling principle figure mono-;
Fig. 4 is embodiment of the present invention moderate heat source images handling principle figure bis-;
Fig. 5 is the model space geometric structural representation of perspective view triangulation;
Fig. 6 is the geometric model schematic diagram of the embodiment of the present invention one neutral body visual angle triangulation A camera space;
Fig. 7 is the image plane schematic diagram captured by the triangulation A camera of the embodiment of the present invention one neutral body visual angle;
Fig. 8 is the embodiment of the present invention one neutral body visual angle triangulation B camera space geometric model schematic diagram;
Fig. 9 is the image plane schematic diagram captured by the triangulation B camera of the embodiment of the present invention one neutral body visual angle;
Figure 10 is mensuration chequered with black and white background cloth schematic diagram used in advance in the embodiment of the present invention one;
Figure 11 is mensuration schematic diagram in advance in the embodiment of the present invention one;
Figure 12 is furred ceiling camera localization method schematic diagram in the embodiment of the present invention three;
Figure 13 is the process flow diagram of fire alarm monitoring method of the present invention;
Figure 14 is the process flow diagram of secret protection manner of execution in fire alarm monitoring method of the present invention;
In figure: 100 offices, 101 desks, 102 computers, 103 infrared cameras, 104 infrared cameras, 105 burning things which may cause a fire disaster signal conditioning packages, 106 flames, 107 furred ceiling infrared pick-up heads, 108 monitoring areas.
Embodiment
Below in conjunction with the drawings and specific embodiments, the invention will be further described.
Principal character of the present invention is increasing the monitoring capability that fire alarm space may occur, and possesses very first time reaction capacity simultaneously.Direct effect can reduce casualties if there is fire alarm, reduce damage to property; Indirect minimizing fire fighter turns out for work frequency and duties risk, and retains the clue of pursuing truth after an event occurs.
The invention discloses a kind of video fire alarm monitoring system and method, comprise for finding and monitoring the burning things which may cause a fire disaster monitoring device of thermal source, the burning things which may cause a fire disaster signal conditioning package be connected with described burning things which may cause a fire disaster monitoring device, in the present invention, burning things which may cause a fire disaster monitoring device is the infrared camera possessing three-dimensional camera function, and burning things which may cause a fire disaster information processing apparatus is set to computing machine.Concrete embodiment can be multiple, and common ground is as follows:
One, there is the burning things which may cause a fire disaster monitoring device possessing temperature remote sensing capabilities reliably.
Because camera adopts optics (visible ray and infrared ray) imaging, so the burning things which may cause a fire disaster of remote (beyond tens of rice) can be detected.This performance is significantly better than the temperature sensor of present indoor universal, because after traditional temperature sensor must wait until flame contact to sensor, just can play function.And the now usually condition of a fire loss that caused indoor equipment entirely to ruin, casualties even to a certain degree.
Infrared camera of the present invention must have reliable temperature remote sensing capabilities, only just causes the attention of camera when temperature exceedes threshold (such as 400 DEG C) of minimum temperature sensor.Unnecessary wrong report can be avoided like this, reduce the notice fatigue that multi information causes.Because the origin of fire must have the burning things which may cause a fire disaster region of a sufficiently high temperature as starting point.Effectively to monitor interior space temperature, then need infrared remote sensing technology.A digital camera with infrared photoperceptivity can meet preliminary needs.Origin due to fire must have the burning things which may cause a fire disaster region of a sufficiently high temperature as starting point, so video fire alarm monitoring system can ignore any region that can not reach threshold on fire.As shown in Figure 2, according to the blackbody radiation principle of Stefan and Boltzmann, ultrared intensity (Intensity) is certain nonlinear positive function relation with the temperature of heater.As long as so can effectively set up infrared camera to the resolution characteristic of directs line strength, such as on pick-up lens, increase filter coating with coating way, the infrared ray of wavelength in a certain scope is only allowed to pass through, just can get rid of the interference of the infrared noise (noise) of not enough temperature, also can install one additional and only allow the filter that infrared light passes through before camera lens, its midbandwidth concentrates on 0.7-1.4 micron (μm) scope, significantly can reduce the interference of visible light, like this image taken the photograph more accurately can reflect the scope of high-temperature region.A kind of method is also had to be preset the sensitivity that camera responds to infrared light.Because the temperature of the energy intensity of infrared light (Intensity) and target object has nonlinear proportional relationship, so by the induction sensitivity of adjustment to infrared light, the minimum temperature making camera imaging just can be set.If lower than this temperature, camera would not produce this image.
Be no matter that a kind of method displays temperature higher than set critical temperature (such as 400 DEG C), burning things which may cause a fire disaster signal conditioning package (computing machine) will do and keep track shooting by instruction camera.By the image of shooting relatively continuously, conclude that whether high-temperature area is at continuous enlargement; When if at continuous enlargement, why so measure the speed of expansion, and prediction can reach the boundary of fire threat.
Two, burning things which may cause a fire disaster signal conditioning package, comprises with lower module:
PaintShop module, utilizes pattern recognition technique to process the infrared image that infrared camera transmits, and result is given artificial intelligence flame recognition module and have been judged whether or by breaking out of fire.
Artificial intelligence flame recognition module, for the fire alarm rank of the infrared image after determination processing, can be divided into 4 grades by alarm condition according to fuzzy logic: without fire hazards, observe in, have fire hazards, automatically start.According to corresponding rank, corresponding process is made to the condition of a fire.
Flame Identification Data library module, reference when judging as the identification of artificial intelligence flame.After equipment installation, formal start use before, each camera, to institute's coverage, does normal condition and synchronously matches shooting.Photographic image exists in database, contrasts, with reference to using for artificial intelligence flame recognition module in the future.
Burning things which may cause a fire disaster locating module, for according to the angle of described burning things which may cause a fire disaster monitoring device and locus, calculates the locus coordinate (comprising planimetric position coordinate) of burning things which may cause a fire disaster.
Monitoring image database, for preserving the image data of described burning things which may cause a fire disaster monitoring device shooting.
Secret protection module, for regularly or irregularly destroying the described image data that described burning things which may cause a fire disaster monitoring device is taken according to instruction.
Several embodiments of video fire alarm monitoring system disclosed in this invention:
Embodiment one
For office, as shown in Figure 1, for video fire alarm monitoring system of the present invention provides a general explanation (the present invention is not only applicable to office).What desk 101 was neat is arranged within office 100, and computer 102 is placed on desk 101 according to action need.In order to more effectively, faster detect danger when fire alarm occurs, in a side walls of office 100, appropriate location has been installed two and is had the infrared camera 103,104 of three-dimensional camera function and have the burning things which may cause a fire disaster signal conditioning package (computing machine) 105 of graphics processing function.For convenience of monitoring and calculating, appropriate location refers to and camera 103,104 is arranged on phase co-altitude (camera 103,104 can be arranged on wall, also can be arranged on roof), and the convenient position monitoring whole office 100, if conditions permit, 2 cameras are at a distance of the distance of at least 1 meter.Can also by regulating the distance between 2 cameras to obtain degree of accuracy and the resolution of better location.A visible image capturing head (not marking in figure) can be installed in addition, for providing fire alarm to monitor personnel's video monitoring image where necessary, and the contrast of artificial intelligence judged result, increase system reliability; On-the-spot clue can also be recorded.Infrared camera must be enable during installation to cover the space of overwhelming majority monitoring, and measure the three-dimensional coordinate of two infrared cameras, also measure inclination angle (Pitch Angle) and the deflection (Yaw Angle) of their pickup axis simultaneously, and the rotation angle of infrared camera (Roll Angle) immobilizes, facilitate burning things which may cause a fire disaster location Calculation, described rotation angle is the angle rotated around the axle perpendicular to camera screen.These two infrared pick-up heads should be provided with minimum temperature sensor (such as 400 DEG C), to determine to report by mistake.Three cameras are connected on burning things which may cause a fire disaster signal conditioning package (computing machine) 105 simultaneously, and burning things which may cause a fire disaster signal conditioning package 105 is connected with the safety monitoring system on backstage and fire-fighting system.
Embodiment two
Difference with embodiment one is that burning things which may cause a fire disaster monitoring device adopts two cameras having visible ray and infrared photoperceptivity concurrently, does not have independent visible image capturing head.
Embodiment three
As shown in figure 12, if be used in the cramped spaces that equipment or material tight install or stack, as warehouse or machine room, then the furred ceiling infrared pick-up head 107 that can be adopted to be arranged on roof covers the mode of whole monitoring area 108.
In this space, if the area coverage of an infrared camera is enough to comprise whole monitoring range, then infrared camera should be arranged on roof central authorities.If need more than an infrared camera, then can take average mounting means, each infrared camera is made to cover impartial area.The present embodiment also can have the mode of the infrared camera of visible image capturing ability concurrently by increase visible image capturing head or employing, increase visible image capturing ability, for fire alarm monitoring personnel reference, to improve the reliability of system.
Embodiment four
This is a kind of deriving mode of embodiment three, if be used in crowded space as warehouse or machine room, when adopting an infrared pick-up head, cam lens can be hung downwards on the controlled moving slider of X-Y formula that roof is built-in.In observation process, infrared pick-up head is carried by the controlled moving slider of X-Y formula and makes an inspection tour whole space along projected path.If found high-temperature region, infrared pick-up head has moved to above high-temperature region.The present embodiment also can have the mode of the infrared camera of visible image capturing ability concurrently by increase visible image capturing head or employing, increase visible image capturing ability, for fire alarm monitoring personnel reference, to improve the reliability of system.
In order to coordinate video fire alarm monitoring system of the present invention work, the invention also discloses a kind of video fire alarm monitoring method, as shown in figure 13, comprising following several large step:
S1: carry out the optimum configurations comprising minimum temperature sensor for the environment residing for burning things which may cause a fire disaster monitoring equipment; Described parameter also comprises space type, number of heat source, thermal source coordinate, thermal source maximum permissible temperature;
S2: burning things which may cause a fire disaster monitoring device captures the burning things which may cause a fire disaster higher than minimum temperature sensor and starts to take the infrared image of burning things which may cause a fire disaster;
S3: burning things which may cause a fire disaster signal conditioning package utilizes the infrared image of pattern recognition technique to burning things which may cause a fire disaster to process;
S4: the result of the infrared image of burning things which may cause a fire disaster is sent artificial intelligent flame recognition module and screen whether breaking out of fire;
S5: artificial intelligence flame recognition module makes a determination result for " having fire hazards ", then send monitor screen by burning things which may cause a fire disaster video and send sound and light alarm to fire alarm monitoring personnel.
S6: determine the accurate position coordinates of burning things which may cause a fire disaster and circulate a notice of fire alarm monitoring personnel, sending burning things which may cause a fire disaster coordinate to fire fighting equipment simultaneously.
Wherein in video fire alarm monitoring method step (S3), in the digitized video of infrared camera shooting, volume exists in the mode of plane projection; So high-temperature area is as representative with pixel (pixel) in image data.Because camera angle is constant and fire location is relatively fixing, so the larger pixel shared in digitized video of flame volume is more.The flame 301 of such as Fig. 3 is less, so the pixel in digitized video 302 is less, and Fig. 4 is because flame 401 is comparatively large, so the pixel in digitized video 402 is more.When comparing a series of image according to sequential shooting, if the pixel of high-temperature region constantly increases, just represent that burning things which may cause a fire disaster expands in continuation, and the quantity increased within a certain period of time just represents the speed that burning things which may cause a fire disaster increases.These are the important parameters judging fire.
With reference under normal usage several, common safe thermal source:
1. smoking: lighter there will be an obvious high temperature heat source when lighting a cigarette, but it can not spread, and (usual several seconds) disappearance in very short time, so can not be fire.The cigarette lighted, its temperature is lower on the one hand, and scope can not spread, although likely moving, also can not be fire.
2. use candle: this situation and particularly for tobacco items seemingly, just may be higher relative to its temperature of cigarette.Otherwise feature is temperature stabilization, can not spread, and may move but infrequently, easy judgement is not fire.
3. use cooking stove: be that in various situation, temperature is the highest, but can not move, can not spread, so not special difficulty judges it is not fire.
Such as, but if they appear in particular cases, in warehouse, artificial intelligence flame recognition module, by combining environmental condition, just can be separated them, starts warning measure.
Referring again to several Initial Stage of Fire phenomenon:
When there being smoulder material on fire in monitoring range, first infrared camera can detect the threshold temperature (such as 400 DEG C) of temperature higher than setting.Analyze the result of shooting continuously, realize that the pixel quantity of high-temperature region increases with slow and fixing speed.So can judge that combustion zone is with a kind of stable VELOCITY DIFFUSION, has the danger forming serious fire gradually.If need to confirm further, the shooting of limit of visible spectrum or video can be sent to responsible department, carry out identification by monitor staff.
In video fire alarm monitoring method step (S4), burning things which may cause a fire disaster signal conditioning package (computing machine) is provided with artificial intelligence flame recognition module, and alarm condition can be divided into 4 grades according to fuzzy logic by artificial intelligence flame recognition module: without fire hazards, observe in, have fire hazards, automatically start.When artificial intelligence flame recognition module judges " without fire hazards ", warning function is in dormant state.When artificial intelligence flame recognition module receives noticeable thermal source information but is also not enough to be determined with fire hazard, warning function is in " in observation ".When artificial intelligence flame recognition module judgement fire hazards have great confidence level, fire alarm monitoring personnel can be circulated a notice of immediately, state that warning function is in " having fire hazards ".After being in " having fire hazards " state a period of time, fire alarm monitoring personnel still do not take artificial treatment, and (artificial treatment comprises startup fire-fighting program, or cancel the warning of " having fire hazards "), and artificial intelligence flame recognition module is after the sensor information constantly receiving fire continuation expansion, " automatically starting " program can be started, allow automatic fire control program take over, commander's entirety is escaped, action.
Wherein in step (S6), determine that the method for burning things which may cause a fire disaster accurate position coordinates has 4 kinds, be applied in the middle of each embodiment respectively:
1., in embodiment one and embodiment two, the method for the infrared camera determination burning things which may cause a fire disaster accurate position coordinates be arranged on wall by two has two kinds, and first method is as follows:
As shown in Figure 1, if because any reason produces a high temperature dot in this space, then utilize these two cameras to photograph, calculate its opposite core position by pattern analysis, obtain the image of two diverse locations and angle simultaneously.Two angles of depression by the ray of camera (Pitch Angle) and deflection (Yaw Angle) can be calculated respectively by the pixel of image, because the angle of the position of camera and shooting is all known parameters, the ray formed, intersect at the core of high temperature dot, the equation of line of foundation two cores and camera line, just can calculate the accurate location of high temperature dot by space geometry.
When erecting equipment, measured the three-dimensional coordinate of two infrared cameras, two infrared cameras install the position of A (0, a, c), B (b, a, c) 2 in Figure 5 respectively.Also inclination angle (Pitch Angle) and the deflection (Yaw Angle) of measuring the pickup axis of two infrared cameras are respectively Θ 1, ψ 1 and Θ 2, ψ 2 simultaneously.Wherein inclination angle is the angle with Z axis, and counterclockwise is just, deflection is the angle with X-axis, and counterclockwise is just.Rotation angle (Roll Angle) affects, so disregard location nothing.Straight line 501 and straight line 502 are respectively the central axis of infrared camera A and infrared camera B, be corresponding with it captured by image plane PQMN and the normal of plane TRS, be perpendicular or normal to a little 506 and point 507 set up area coordinate system O1 and O2 respectively with them.
With reference to figure 6, suppose that A point is d to the length of coordinate system O1 initial point 506
a, then the coordinate that can calculate 506 is:
(x(d
A),y(d
A),z(d
A))
With reference to figure 8, suppose that B point is d to the length of coordinate system O2 initial point 507
b, then the coordinate that can calculate 507 is:
(x'(d
B),y'(d
B),z'(d
B))
When a burning things which may cause a fire disaster 505 occurs, appear at respectively on the image plane captured by two cameras, but the distance d of these two image planes and camera
aand d
btemporarily cannot judge.The position coordinates of burning things which may cause a fire disaster 505 relative to coordinate system O1 initial point 506 and coordinate system O2 initial point 507 can be obtained respectively by the image plane captured by two cameras.By Formula of Coordinate System Transformation, burning things which may cause a fire disaster 505 can be converted to coordinate system O reading at the reading of coordinate system O1, wherein comprises unknown number d
a.Burning things which may cause a fire disaster 505 can be converted to coordinate system O reading at the reading of coordinate system O2 by the same manner, wherein comprises unknown number d
b.These two readings all represent the reading of burning things which may cause a fire disaster 505 at coordinate system O, must be equal.From then on d can be solved
aand d
band calculate the actual position of burning things which may cause a fire disaster 505 at coordinate system O.Method is as follows:
According to cartesian geometry, there are seven conversion parameters between any two rectangular coordinate system in space system: 3 translation parameterss (Δ x, Δ y, Δ z), 3 rotation parameter (ε
x, ε
y, ε
z) and 1 scale parameter k.The formula of rectangular coordinate system in space B is transformed into by rectangular coordinate system in space A:
Simplification can obtain:
Wherein
ε
11＝Δx+1+k
ε
12＝Δx+1+k+ε
x
ε
13＝Δx+1+k-ε
y
ε
21＝Δy+1+k-ε
z
ε
22＝Δy+1+k
ε
23＝Δy+1+k+ε
x
ε
31＝Δz+1+k+ε
y
ε
32＝Δz+1+k+ε
z
ε
33＝Δz+1+k
With reference to figure 7, the image parallel plane PQMN captured by infrared camera A, can calculate burning things which may cause a fire disaster 505 at the coordinate of coordinate system O1 by the pixel of making a video recording is (d
1, d
2, 0), can obtain according to above coordinate conversion principle, its coordinate at coordinate system O is
With reference to figure 9, the image parallel plane TSR captured by infrared camera B, can calculate burning things which may cause a fire disaster 505 at the coordinate of coordinate system O2 by the pixel of making a video recording is (d
3, d
4, 0), according to above coordinate conversion principle, in like manner can obtain, its coordinate at coordinate system O is
Because both coordinates of burning things which may cause a fire disaster 505, so
Can simplify about d
aand d
bequation is as follows:
D can be solved
a, d
b, and burning things which may cause a fire disaster 505 is at the coordinate of coordinate system O.
2. the second method of the determination burning things which may cause a fire disaster accurate position coordinates in embodiment one adopts to measure in advance, by method for future reference for camera data list.Workload when this method can increase considerably installation, and the degree of accuracy reducing burning things which may cause a fire disaster coordinate in theory.But it also significantly can reduce the difficulty of burning things which may cause a fire disaster location Calculation.
When mounted make black and white square alternate (checker pattern) background cloth (as shown in Figure 10), its size can coverage rate to the aerial cross sectional of two infrared cameras.The size of black and white square is more suitable with 50 cm.After infrared camera installs, open chequered with black and white cloth width, from the near-end of infrared camera 103,104 distally, with block sizes (such as 50 centimetres) for stride moves.At each stride position infrared camera 103,104 Synchronous camera once, pairing image is formed stored in database.Go out the order arrangement of numbering according to shooting of stride in database, and the distance of camera can be calculated by numbering.Among Figure 11, stride 901 is first strides, exists in the archives of the first stride in database at this image taken the photograph.Stride 902 is second strides, exists in the archives of the second stride in database at this image taken the photograph.Stride 903 is n-th strides, exists in the archives of the n-th stride in database at this image taken the photograph.In stride image, the numbering of each block black and white square, calculates by image recognition software whenever necessary, and the distance of each block black and white square and ground and side then can be calculated by numbering.
When flame occurs, by infrared camera 103,104 the image taken the photograph contrast with the archives of each stride in database respectively.Due to the existence of camera deflection, the image of infrared camera 103, when the stride information contrast reserved with infrared camera in database 103, can in each stride data, find one piece of black and white square corresponding with it, but numbering be different.The stride of infrared camera 103 numbering and corresponding black and white party's block number are compiled into a form for subsequent use.Same form also compiled to infrared camera 104 for subsequent use.
The form of comparison of aforementioned, when stride numbering and black and white party's block number identical or very similar time, just to represent in space that burning things which may cause a fire disaster occurs in representated by this stride and black and white square or near, its coordinate can provide the numbering of stride and black and white square to calculate, but its degree of accuracy can only reach the size of black and white square.
3. in embodiment three, adopt at least one to be arranged on the monitoring mode of the infrared pick-up head on roof, the planimetric position coordinate of burning things which may cause a fire disaster when accident occurs can be calculated by the image captured by camera, but highly then cannot measure reliably.But when for monitoring fire alarm, still can as the foundation effectively judged.
4. in embodiment four, cam lens is hung in the mode on the controlled moving slider of X-Y formula that roof is built-in downwards by employing, if found suspicious burning things which may cause a fire disaster, then camera is moved to above burning things which may cause a fire disaster, make the image of burning things which may cause a fire disaster move to the center of photographed images, at this moment just can determine the planimetric position coordinate at burning things which may cause a fire disaster place from the coordinate readings of the controlled moving slider of X-Y formula.The setting accuracy of this mode is depending on the setting accuracy of the controlled moving slider of X-Y formula.
In step (4) in method provided by the present invention, be also provided with secret protection manner of execution.
Monitoring camera-shooting is carried out to a fixed space, although be based on security against fire needs, still unavoidably can touch Privacy Protection.If fire fighting monitoring space is meeting room or the office of company, so this privacy also may include trade secret.If fire fighting monitoring space is household room, then individual privacy more receives the concern of resident family.So, a tight secret protection manner of execution must be set up for image data, between fire-fighting needs and secret protection, obtain a reasonably balance.As shown in figure 14, the step of this secret protection manner of execution is as follows:
S401: first all image datas file and transfer to the analysis of artificial intelligence flame recognition module simultaneously, and the image data filed regularly or is irregularly destroyed according to user instruction by secret protection module; In non-emergent state, need the image data having access to file, just can must be obtained by relevant law program;
S402: if identification conclusion is " without fire hazards ", then image data does not do further process, goes to step S403; If identification conclusion is " having fire hazards ", then go to step S404;
S403: cancel operation or remove and report to the police;
S404: image data is transmitted background monitoring system monitor screen immediately, and trigger sound and light alarm equipment, prompting fire alarm monitoring personnel note;
S405: whether fire alarm monitoring personnel process " having fire hazards " is in the given time reported to the police, if process proceeds to step S406 in time, if do not process (such as leaving the post) in time temporarily, then after the schedule time, proceed to step S407, start fire protection warning by artificial intelligence flame recognition module;
S406: if fire alarm monitoring personnel judge that " having fire hazards " is not true, then proceed to the warning of step S403 manual cancellation intelligent software; If fire alarm monitoring personnel judge that " having fire hazards " is true, then manually proceed to step S407 and start fire protection warning function;
S407: monitor personnel or artificial intelligence flame recognition module startup fire protection warning function by fire alarm.
In addition, fire alarm monitoring method provided by the invention is also by setting up two kinds of flame Identification Data storehouses to improve artificial intelligence flame identification accuracy and reliability.
1. general scene database
Due to fire alarm may occur in Anywhere, any position, so be necessary to set up a database, contain various possible scene as far as possible.And for each scene, utilize artificial identification result, parameter adjustment is carried out to artificial intelligence flame recognition module.Along with the increase of data-base content, the adjustment also gradual perfection of artificial intelligence flame recognition module.To infrared camera the image taken the photograph, burning things which may cause a fire disaster signal conditioning package (computing machine) starts artificial intelligence flame recognition module and carries out identification.When fire alarm occurs, because the parameter of artificial intelligence flame recognition module is by the process of building database, obtain accurate adjustment, so identification result can monitor the judged result of personnel closer to fire alarm.And after preliminary identification, suitable scene can also contrast in calling data storehouse, further increase the accuracy of identification.Due to the increase that the scene content of database can continue, the adjustment that the parameter of artificial intelligence flame identification module can continue, so the accuracy of flame identification can obtain the lifting continued.
2. special screne database
In some specific environment, as kitchen, chafing dish restaurant, their normal operation just includes one or more high temperature burning things which may cause a fire disaster.So just can set up the database of a normal operation for this specific environment, record normal position and the flame intensity of these high temperature burning things which may cause a fire disaster.Such burning things which may cause a fire disaster signal conditioning package (computing machine) just can infrared camera information contrast in the image taken the photograph and database, judge whether thermal-flame exceeds safe range fast, whether should start warning measure.
Finally, the embody rule that a kind of video fire alarm monitoring system provided by the present invention and method are described is given one example.
As shown in Figure 1, when not exceeding minimum temperature sensor volume burning things which may cause a fire disaster in monitoring space, the artificial intelligence flame recognition module in burning things which may cause a fire disaster signal conditioning package judges " without fire hazards ", and now warning function is in dormant state.When flame 106 occurs and flame temperature exceedes minimum temperature sensor (such as 400 DEG C), three-dimensional infrared camera 103,104 starts and photographs the infrared image of flame, and this infrared image is transferred to burning things which may cause a fire disaster signal conditioning package (computing machine) 105 and carry out figure identification.When artificial intelligence flame recognition module judges that this burning things which may cause a fire disaster is also not enough to be judged to be " having fire hazards ", artificial intelligence flame recognition module draws the judgement of " observation ", at this moment camera carries out supervision shooting to burning things which may cause a fire disaster all the time, and constantly transmits the infrared image of burning things which may cause a fire disaster to burning things which may cause a fire disaster signal conditioning package.Any process is not done to the video image of flame when artificial intelligence flame recognition module draws the judgement of " without fire hazards " again, and cancel follow-up operation; After artificial intelligence flame recognition module draws the judgement of " having fire hazards ", at once the video image of flame is sent to the display screen of background monitoring system, and send the fire alarm of acousto-optic alarm monitoring personnel note, burning things which may cause a fire disaster signal conditioning package (computing machine) 105 starts the accurate position coordinates calculating flame 106 simultaneously, this coordinate is sent while background monitoring system is shown to fire alarm monitoring personnel and also send fire fighting equipment to, be provided in the chance of very first time fire extinguishing.If within the predetermined time, fire alarm monitoring personnel do not make artificial treatment to the warning of " having fire hazards ", and (artificial treatment comprises: judge that fire alarm is true, manually start fire protection warning, if judge, fire alarm is not true, then remove the alarm of " having fire hazards "), then burning things which may cause a fire disaster signal conditioning package (computing machine) 105 will start the fire protection warning function on backstage automatically, and by backstage fire-fighting system adapter drill.
Wherein from the flame parameters after process, artificial intelligence flame recognition module can differentiate that whether forming fire alarm threatens after training, and reaches certain accuracy.Coordinate final security personnel to participate in again, in fire alarm judgement, just can reach the level identical with professional.
Device of the present invention is not limited to the embodiment described in embodiment, and those skilled in the art's technical scheme according to the present invention draws and other embodiment belongs to technological innovation scope of the present invention equally.
Claims (12)
1. a video fire alarm monitoring system, comprises burning things which may cause a fire disaster monitoring device, and the burning things which may cause a fire disaster signal conditioning package be connected with described burning things which may cause a fire disaster monitoring device, is characterized in that, described burning things which may cause a fire disaster signal conditioning package comprises:
Pattern recognition module, for processing the infrared image of described burning things which may cause a fire disaster monitoring device shooting;
Artificial intelligence flame recognition module, for the fire alarm rank of the infrared image after determination processing;
Flame Identification Data library module, the image data that temperature parameter and described burning things which may cause a fire disaster monitoring device for depositing monitored space are taken normal condition in its scope covered;
Burning things which may cause a fire disaster locating module, for according to the angle of described burning things which may cause a fire disaster monitoring device and locus, calculates the locus coordinate of burning things which may cause a fire disaster.
2. a kind of video fire alarm monitoring system as claimed in claim 1, is characterized in that: described burning things which may cause a fire disaster monitoring device comprises infrared camera and at least 1 the visible image capturing head that at least 2 possess three-dimensional camera function; Described infrared camera is fixed on wall or roof, and rotation angle immobilizes, and described rotation angle is the angle rotated around the axle perpendicular to camera screen.
3. a kind of video fire alarm monitoring system as claimed in claim 1, is characterized in that: described burning things which may cause a fire disaster monitoring device comprises at least 2 and possesses three-dimensional camera function and the camera having visible ray and infrared photoperceptivity concurrently; Described camera is fixed on wall or roof, and rotation angle immobilizes, and described rotation angle is the angle rotated around the axle perpendicular to camera screen.
4. a kind of video fire alarm monitoring system as claimed in claim 1, it is characterized in that: described burning things which may cause a fire disaster monitoring device comprises the infrared camera that at least 1 is fixed on roof, the image area coverage of described infrared camera can contain whole monitoring range.
5. a kind of video fire alarm monitoring system as claimed in claim 1, it is characterized in that: described burning things which may cause a fire disaster monitoring device comprises 1 infrared camera be fixed on the X-Y slide block on roof, by described infrared camera being moved to the planimetric position coordinate obtaining burning things which may cause a fire disaster above burning things which may cause a fire disaster.
6. a kind of video fire alarm monitoring system as claimed in claim 1, it is characterized in that, described burning things which may cause a fire disaster signal conditioning package also comprises:
Monitoring image database, for filing to the image data of described burning things which may cause a fire disaster monitoring device shooting;
Secret protection module, for regularly or irregularly destroying the described image data that described burning things which may cause a fire disaster monitoring device is taken according to instruction.
7. adopt a video fire alarm monitoring method for the arbitrary described system of claim 1-6, comprise the following steps:
(1) carry out for the environment residing for burning things which may cause a fire disaster monitoring device the optimum configurations comprising minimum temperature sensor;
(2) described burning things which may cause a fire disaster monitoring device captures the burning things which may cause a fire disaster higher than described minimum temperature sensor and starts to take the infrared image of burning things which may cause a fire disaster;
(3) burning things which may cause a fire disaster signal conditioning package utilizes the infrared image of pattern recognition technique to described burning things which may cause a fire disaster to process;
(4) result of the infrared image of described burning things which may cause a fire disaster is screened whether breaking out of fire by artificial intelligence flame recognition module;
(5) when described artificial intelligence flame recognition module result of determination is for " having fire hazards ", to fire alarm monitoring, personnel send sound and light alarm.
8. a kind of video fire alarm monitoring method as claimed in claim 7, it is characterized in that: in step (4), the result of determination of artificial intelligence flame recognition module comprises " without fire hazards ", " observation ", " having fire hazards ", " automatically starting fire-fighting program ".
9. a kind of video fire alarm monitoring method as claimed in claim 8, is characterized in that: in step (4), also comprise secret protection manner of execution, comprise the following steps:
(401) all image datas file, and transfer to artificial intelligence flame recognition module analyzing and processing, and regularly or are irregularly destroyed according to instruction by secret protection module;
(402) if artificial intelligence flame recognition module result of determination is " without fire hazards ", go to step (403); If artificial intelligence flame recognition module result of determination is " having fire hazards ", go to step (404);
(403) cancel operation or remove and report to the police;
(404) image data is transmitted background monitoring system monitor screen, and trigger sound and light alarm equipment;
(405) report to the police if fire alarm monitoring personnel process " having fire hazards " in the given time in time, proceed to step (406), if do not processed in time, then after the schedule time, proceed to step (407);
(406) if fire alarm monitoring personnel judge that " having fire hazards " is not true, then step (403) is manually proceeded to; If fire alarm monitoring personnel judge that " having fire hazards " is true, then manually proceed to step (407);
(407) personnel or artificial intelligence flame recognition module startup fire protection warning function is monitored by fire alarm.
10. a kind of video fire alarm monitoring method as claimed in claim 7, is characterized in that, also comprise step (6): determine burning things which may cause a fire disaster coordinate, and circular is to fire alarm monitoring personnel, sends described burning things which may cause a fire disaster coordinate to fire fighting equipment simultaneously.
11. a kind of video fire alarm monitoring methods as described in any one of claim 7-10, is characterized in that: described video fire alarm monitoring method also comprises the flame Identification Data storehouse of the accuracy set up for improving artificial intelligence flame recognition module, comprising:
General scene database, for preserving various possible common burning things which may cause a fire disaster scene;
Special screne database, for recording position and the flame intensity of monitored place one or more burning things which may cause a fire disaster distinctive.
12. a kind of video fire alarm monitoring methods as claimed in claim 7, is characterized in that: the parameter arranged in step (1) also comprises space type, number of heat source, thermal source coordinate, thermal source maximum permissible temperature.
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