1. The utility model provides a house wisdom safety fire control early warning protection system based on big data which characterized in that includes:

the system comprises a modeling module, a data processing module and a data processing module, wherein the modeling module is used for establishing a virtual home building model and a fire source arranged at any position in the home building model, and the fire source comprises a flame area, a dense smoke area, a middle smoke area and a low smoke area; the receiving module is used for receiving real-time air flow rate information, real-time humidity information and real-time temperature information of the building; the central control module is respectively connected with the receiving module and the modeling module, acts the real-time air flow rate information, the real-time humidity information and the real-time temperature information of the building on the fire source, evaluates the phagocytosis of the fire source on the surrounding environment, and establishes a corresponding fire fighting scheme according to a simulation result; the central control module is respectively connected with the modeling module, the receiving module and the warning module;

detecting the granularity PS1i of the smoke-rich area, the granularity PS2i of the middle smoke area and the granularity PS3i of the low smoke area at any moment i, wherein the smoke-rich area, the middle smoke area and the low smoke area are sequentially far away from the flame area, and after the time T1, the granularity PS11i of the smoke-rich area, the granularity PS22i of the middle smoke area and the granularity PS33i of the low smoke area are detected at the moment i + T1, and the spreading tendency is compensated according to the change speeds of the smoke granularity of the smoke-rich area, the middle smoke area and the low smoke area;

a granularity change standard speed V0 is arranged in the central control module;

comparing | PS11i-PS1i |/T1, | PS22i-PS2i |/T1 and | PS33i-PS3i |/T1 with the standard velocity of particle size change V0, respectively; if the | PS11i-PS1i | T1, | PS22i-PS2i | T1 and | PS33i-PS3i | T1 all < the standard speed of granularity change V0, no compensation for the spreading tendency is needed;

if any two values of the PS11i-PS1 i/T1, | PS22i-PS2 i/T1 and | PS33i-PS3 i/T1 are more than or equal to the standard speed V0 of granularity change, the spreading tendency is compensated for by 0.5 level;

if three numerical values of PS11i-PS1 i/T1, | PS22i-PS2 i/T1 and | PS33i-PS3 i/T1 are all more than or equal to the standard speed V0 of granularity change, compensating the spreading trend by 1 level;

and the central control module determines a corresponding fire fighting scheme according to the real-time spreading trend.

2. The big data based home intelligent security fire fighting early warning protection system according to claim 1, wherein the central control module determining the corresponding fire fighting scheme according to the real-time propagation trend comprises:

a fire behavior matrix I (I1, I2, I3, I4, I5) and a fire fighting scheme matrix P (P1, P2, P3, P4, P5) are arranged in the central control module, wherein I1 represents a first spreading trend, I2 represents a second spreading trend, I3 represents a third spreading trend, I4 represents a fourth spreading trend, I5 represents a fifth spreading trend, and I1< I2< I3< I4< I5; p1 denotes a first fire fighting scheme, P2 denotes a second fire fighting scheme, P3 denotes a third fire fighting scheme, P4 denotes a fourth fire fighting scheme, and P5 denotes a fifth fire fighting scheme;

when the central control module determines that the phagocytosis of the surrounding environment by a fire source belongs to a first spread trend I1, selecting a first fire fighting scheme P1 from the central control module;

when the central control module determines that the phagocytosis of the surrounding environment by the fire source belongs to a second spreading trend I2, selecting a second fire fighting scheme P2 from the central control module;

when the central control module determines that the phagocytosis of the surrounding environment by the fire source belongs to a third spreading trend I3, selecting a third fire fighting scheme P3 from the central control module;

when the central control module determines that the phagocytosis of the surrounding environment by the fire source belongs to a fourth spreading tendency I4, selecting a fourth fire fighting scheme P4 from the central control module;

and when the central control module determines that the phagocytosis of the surrounding environment by the fire source belongs to a fifth spreading trend I5, selecting a fifth fire fighting plan P5 from the central control module.

3. The big data based home intelligent security fire-fighting pre-warning protection system according to claim 2,

different rescue curves are arranged in the central control module, namely a first rescue curve range S1, a second rescue curve range S2, a third rescue curve range S3, a fourth rescue curve range S4 and a fifth rescue curve range S5 respectively, the different rescue curves represent different rescue ranges, and the rescue range corresponding to the first rescue curve range S1 > the rescue range corresponding to the second rescue curve range S2 > the rescue range corresponding to the third rescue curve range S3 > the rescue range corresponding to the fourth rescue curve range S4 > the rescue range corresponding to the fifth rescue curve range S5;

when the central control module selects the first fire fighting scheme P1, selecting a rescue range corresponding to a first rescue curve range S1, and evacuating all inflammable matters in the first rescue curve range S1;

when the central control module selects the second fire fighting scheme P2, selecting a rescue range corresponding to a second rescue curve range S2, and evacuating all inflammable matters in the second rescue curve range S2;

when the central control module selects the third fire fighting scheme P3, selecting a rescue range corresponding to a third rescue curve range S3, and evacuating all inflammable matters in the third rescue curve range S3;

when the central control module selects the fourth fire fighting scheme P4, a rescue range corresponding to a fourth rescue curve range S4 is selected, and inflammable matters in the fourth rescue curve range S4 are completely evacuated;

when the central control module selects the fifth fire fighting plan P5, a rescue range corresponding to a fifth rescue curve range S5 is selected, and combustibles within the fifth rescue curve range S5 are evacuated completely.

4. The big data based household intelligent fire-fighting security system according to claim 3, wherein during fire suppression, a real-time air flow velocity V1t of a dense smoke zone, a real-time air flow velocity V2t of a middle smoke zone and a real-time air flow velocity V3t of a low smoke zone are detected, and a standard air flow velocity matrix V00 (V10, V20 and V30) is arranged in the central control module, wherein V10 represents a standard air flow velocity of the dense smoke zone, V20 represents a standard air flow velocity of the middle smoke zone, and V30 represents a standard air flow velocity of the low smoke zone; the central control module is also provided with a rescue curve compensation matrix K (K1, K2, K3), wherein K1 represents a first compensation coefficient, K2 represents a second compensation coefficient, K3 represents a third compensation coefficient, and K1> K2> K3;

and respectively comparing the real-time air flow velocity V1t of the dense smoke zone with the standard air flow velocity V10 of the dense smoke zone, the real-time air flow velocity V2t of the middle smoke zone with the standard air flow velocity V20 of the middle smoke zone, the real-time air flow velocity V3t of the low smoke zone and the standard air flow velocity V30 of the low smoke zone, selecting the compensation coefficients in a rescue curve compensation matrix K (K1, K2 and K3) according to the comparison result, and compensating the rescue curve according to the corresponding compensation coefficients.

5. The big data based home intelligent security fire-fighting pre-warning protection system according to claim 4,

if the real-time air flow velocity V1t of the dense smoke zone is greater than the standard air flow velocity V10 of the dense smoke zone, selecting a first compensation coefficient K1 in the rescue curve range compensation matrix K (K1, K2, K3) to compensate the rescue curve range, wherein the compensated first rescue curve range is S1 x (1-K1), the compensated second rescue curve range is S2 x (1-K1), the compensated third rescue curve range is S3 x (1-K1), the compensated fourth rescue curve range is S4 x (1-K1) and the compensated fifth rescue curve range is S5 x (1-K1);

if the real-time air flow velocity V2t of the middle smoke zone is greater than the standard air flow velocity V20 of the middle smoke zone, selecting a second compensation coefficient K2 in the rescue curve range compensation matrix K (K1, K2, K3) to compensate the rescue curve range, wherein the compensated first rescue curve range is S1 x (1-K2), the compensated second rescue curve range is S2 x (1-K2), the compensated third rescue curve range is S3 x (1-K2), the compensated fourth rescue curve range is S4 x (1-K2) and the compensated fifth rescue curve range is S5 x (1-K2);

and if the real-time air flow velocity V3t of the low smoke zone is greater than the standard air flow velocity V30 of the low smoke zone, selecting a third compensation coefficient K3 in the rescue curve range compensation matrix K (K1, K2, K3) to compensate the rescue curve range, wherein the compensated first rescue curve range is S1 x (1-K3), the compensated second rescue curve range is S2 x (1-K3), the compensated third rescue curve range is S3 x (1-K3), the compensated fourth rescue curve range is S4 x (1-K3) and the compensated fifth rescue curve range is S5 x (1-K3).

6. The big data based home intelligent security fire-fighting pre-warning protection system according to claim 5,

the first compensation coefficient K1= α × (V1 t-V10)/V10 +3 × β × PS1 i/(PS 1i + PS2i + PS3 i),

the second compensation coefficient K2= α × (V2 t-V20)/V20 +3 × β × PS2 i/(PS 1i + PS2i + PS3 i),

the third compensation coefficient K3= α × (V3 t-V30)/V30 +3 × β × PS3 i/(PS 1i + PS2i + PS3 i),

where α represents an air flow velocity weighting factor, β represents a smoke particle size weighting factor, and α + b = 1.

7. The big data based home intelligent security fire fighting pre-warning protection system according to claim 6, wherein the air flow rate weight coefficient α = combustibles coverage area/building area in the home building model; and the smoke granularity weight coefficient beta = non-inflammable substance coverage area/building area in the household building model.

8. The big-data-based household intelligent security fire-fighting early warning protection system as claimed in claim 7, wherein an early warning coefficient B = S3/(S1 + S2+ S3+ S4+ S5) + I3/(I1 + I2+ I3+ I4+ I5) + V20/(V10 + V20+ V30) + K2/(K1+ K2+ K3) is further set in the central control module.

9. The big-data-based household intelligent safety fire-fighting early-warning protection system as claimed in claim 8, wherein a standard early-warning coefficient B0 is further provided in the central control module, if the early-warning coefficient B is greater than or equal to a standard early-warning coefficient B0, a warning module is used for warning, and the warning module is connected with the central control module; and if the warning coefficient B is less than a standard warning coefficient B0, the warning module is not started, and the standard warning coefficient B0= (V10 + V20+ V30)/3 xV 20.

Background

With the development of social economy and the increase of population, high-rise civil buildings become the mainstream of urban living and office work, so that power electronic equipment and power consumption load are greatly increased, and fire accidents caused by electrical faults are also increased sharply.

Electric leakage fire alarm systems are generally arranged in places with high fire hazard risk, dense personnel and the like in high-rise buildings. At present, a threshold comparison method is mostly adopted in a fire detector, the fire detector is also a traditional processing mode, and the fire detector has the characteristics of simplicity, clarity, easiness in implementation and the like, but the environmental adaptability and the anti-interference capability are poor. There are many causes of electrical fire such as line short, overcurrent, ground fault, insulation aging, ignitable substance of electric heating equipment, etc., but the final cause is line short, and 90% of short fires are short circuits due to gradation fault. Such electrical fires are usually concealed faults caused by abnormal leakage currents, and therefore, a special residual current detection device is required to detect the electrical fires, and parameters such as overcurrent, current and voltage of an electrical line, and temperature of the electrical line are monitored.

But current building fire control early warning only carries out once comparison usually, directly makes the early warning or does not early warning after the comparison, if the real-time temperature of transmission point is higher than predetermined standard temperature, then early warning, consequently is difficult to master the minute when setting up this standard temperature to single standard makes the accuracy of early warning not high, easily receives the interference of environment, does not report to the police when appearing the wrong report or taking place danger, brings the hidden danger to the safety of house building.

Disclosure of Invention

Therefore, the invention provides a big data-based household intelligent safety fire-fighting early warning protection system, which can solve the problem of inaccurate warning.

In order to achieve the above object, the present invention provides a big data-based home intelligent security fire-fighting early warning protection system, which comprises:

the system comprises a modeling module, a data processing module and a data processing module, wherein the modeling module is used for establishing a virtual home building model and a fire source arranged at any position in the home building model, and the fire source comprises a flame area, a dense smoke area, a middle smoke area and a low smoke area; the receiving module is used for receiving real-time air flow rate information, real-time humidity information and real-time temperature information of the building; the central control module is respectively connected with the receiving module and the modeling module, acts the real-time air flow rate information, the real-time humidity information and the real-time temperature information of the building on the fire source, evaluates the phagocytosis of the fire source on the surrounding environment, and establishes a corresponding fire fighting scheme according to a simulation result; the central control module is respectively connected with the modeling module, the receiving module and the warning module;

detecting the granularity PS1i of the smoke-rich area, the granularity PS2i of the middle smoke area and the granularity PS3i of the low smoke area at any moment i, wherein the smoke-rich area, the middle smoke area and the low smoke area are sequentially far away from the flame area, and after the time T1, the granularity PS11i of the smoke-rich area, the granularity PS22i of the middle smoke area and the granularity PS33i of the low smoke area are detected at the moment i + T1, and the spreading tendency is compensated according to the change speeds of the smoke granularity of the smoke-rich area, the middle smoke area and the low smoke area;

a granularity change standard speed V0 is arranged in the central control module;

comparing | PS11i-PS1i |/T1, | PS22i-PS2i |/T1 and | PS33i-PS3i |/T1 with the standard velocity of particle size change V0, respectively; if the | PS11i-PS1i | T1, | PS22i-PS2i | T1 and | PS33i-PS3i | T1 all < the standard speed of granularity change V0, no compensation for the spreading tendency is needed;

if any two values of the PS11i-PS1 i/T1, | PS22i-PS2 i/T1 and | PS33i-PS3 i/T1 are more than or equal to the standard speed V0 of granularity change, the spreading tendency is compensated for by 0.5 level;

if three numerical values of PS11i-PS1 i/T1, | PS22i-PS2 i/T1 and | PS33i-PS3 i/T1 are all more than or equal to the standard speed V0 of granularity change, compensating the spreading trend by 1 level;

and the central control module determines a corresponding fire fighting scheme according to the real-time spreading trend.

Further, the central control module determines a corresponding fire fighting method according to the real-time spreading trend, and the method comprises the following steps: a fire behavior matrix I (I1, I2, I3, I4, I5) and a fire fighting scheme matrix P (P1, P2, P3, P4, P5) are arranged in the central control module, wherein I1 represents a first spreading trend, I2 represents a second spreading trend, I3 represents a third spreading trend, I4 represents a fourth spreading trend, I5 represents a fifth spreading trend, and I1< I2< I3< I4< I5; p1 denotes a first fire fighting scheme, P2 denotes a second fire fighting scheme, P3 denotes a third fire fighting scheme, P4 denotes a fourth fire fighting scheme, and P5 denotes a fifth fire fighting scheme;

when the central control module determines that the phagocytosis of the surrounding environment by a fire source belongs to a first spread trend I1, selecting a first fire fighting scheme P1 from the central control module;

when the central control module determines that the phagocytosis of the surrounding environment by the fire source belongs to a second spreading trend I2, selecting a second fire fighting scheme P2 from the central control module;

when the central control module determines that the phagocytosis of the surrounding environment by the fire source belongs to a third spreading trend I3, selecting a third fire fighting scheme P3 from the central control module;

when the central control module determines that the phagocytosis of the surrounding environment by the fire source belongs to a fourth spreading tendency I4, selecting a fourth fire fighting scheme P4 from the central control module;

and when the central control module determines that the phagocytosis of the surrounding environment by the fire source belongs to a fifth spreading trend I5, selecting a fifth fire fighting plan P5 from the central control module.

Furthermore, different rescue curves are arranged in the central control module, which are respectively a first rescue curve range S1, a second rescue curve range S2, a third rescue curve range S3, a fourth rescue curve range S4 and a fifth rescue curve range S5, the different rescue curves represent different rescue ranges, and the rescue range corresponding to the first rescue curve range S1 > the rescue range corresponding to the second rescue curve range S2 > the rescue range corresponding to the third rescue curve range S3 > the rescue range corresponding to the fourth rescue curve range S4 > the rescue range corresponding to the fifth rescue curve range S5;

when the central control module selects the first fire fighting scheme P1, selecting a rescue range corresponding to a first rescue curve range S1, and evacuating all inflammable matters in the first rescue curve range S1;

when the central control module selects the second fire fighting scheme P2, selecting a rescue range corresponding to a second rescue curve range S2, and evacuating all inflammable matters in the second rescue curve range S2;

when the central control module selects the third fire fighting scheme P3, selecting a rescue range corresponding to a third rescue curve range S3, and evacuating all inflammable matters in the third rescue curve range S3;

when the central control module selects the fourth fire fighting scheme P4, a rescue range corresponding to a fourth rescue curve range S4 is selected, and inflammable matters in the fourth rescue curve range S4 are completely evacuated;

when the central control module selects the fifth fire fighting plan P5, a rescue range corresponding to a fifth rescue curve range S5 is selected, and combustibles within the fifth rescue curve range S5 are evacuated completely.

Further, during the fire suppression, detecting a real-time air flow velocity V1t of the rich smoke region, a real-time air flow velocity V2t of the middle smoke region and a real-time air flow velocity V3t of the low smoke region, and arranging a standard air flow velocity matrix V00 (V10, V20 and V30) in the central control module, wherein V10 represents the standard air flow velocity of the rich smoke region, V20 represents the standard air flow velocity of the middle smoke region, and V30 represents the standard air flow velocity of the low smoke region; the central control module is also provided with a rescue curve compensation matrix K (K1, K2, K3), wherein K1 represents a first compensation coefficient, K2 represents a second compensation coefficient, K3 represents a third compensation coefficient, and K1> K2> K3;

and respectively comparing the real-time air flow velocity V1t of the dense smoke zone with the standard air flow velocity V10 of the dense smoke zone, the real-time air flow velocity V2t of the middle smoke zone with the standard air flow velocity V20 of the middle smoke zone, the real-time air flow velocity V3t of the low smoke zone and the standard air flow velocity V30 of the low smoke zone, selecting the compensation coefficients in a rescue curve compensation matrix K (K1, K2 and K3) according to the comparison result, and compensating the rescue curve according to the corresponding compensation coefficients.

Further, if the real-time air flow rate V1t of the smoke-rich zone is greater than the standard air flow rate V10 of the smoke-rich zone, selecting a first compensation coefficient K1 in the rescue curve range compensation matrix K (K1, K2, K3) to compensate the rescue curve range, wherein the compensated first rescue curve range is S1 x (1-K1), the second rescue curve range is S2 x (1-K1), the third rescue curve range is S3 x (1-K1), the fourth rescue curve range is S4 x (1-K1), and the fifth rescue curve range is S5 x (1-K1);

if the real-time air flow velocity V2t of the middle smoke zone is greater than the standard air flow velocity V20 of the middle smoke zone, selecting a second compensation coefficient K2 in the rescue curve range compensation matrix K (K1, K2, K3) to compensate the rescue curve range, wherein the compensated first rescue curve range is S1 x (1-K2), the compensated second rescue curve range is S2 x (1-K2), the compensated third rescue curve range is S3 x (1-K2), the compensated fourth rescue curve range is S4 x (1-K2) and the compensated fifth rescue curve range is S5 x (1-K2);

and if the real-time air flow velocity V3t of the low smoke region is greater than the standard air flow velocity V30 of the low smoke region, selecting a third compensation coefficient K3 in the rescue curve compensation matrix K (K1, K2, K3) to compensate the rescue curve, wherein the compensated first rescue curve range is S1 x (1-K3), the compensated second rescue curve range is S2 x (1-K3), the compensated third rescue curve range is S3 x (1-K3), the compensated fourth rescue curve range is S4 x (1-K3) and the compensated fifth rescue curve range is S5 x (1-K3).

Further, the first compensation coefficient K1= α × (V1 t-V10)/V10 +3 × β × PS1 i/(PS 1i + PS2i + PS3 i),

the second compensation coefficient K2= α × (V2 t-V20)/V20 +3 × β × PS2 i/(PS 1i + PS2i + PS3 i),

the third compensation coefficient K3= α × (V3 t-V30)/V30 +3 × β × PS3 i/(PS 1i + PS2i + PS3 i),

where α represents an air flow velocity weighting factor, β represents a soot particle size weighting factor, and α + β = 1.

Further, the air flow velocity weight coefficient α = combustibles coverage area/building area in the home building model; and the smoke granularity weight coefficient beta = non-inflammable substance coverage area/building area in the household building model.

Further, an early warning coefficient B = S3/(S1 + S2+ S3+ S4+ S5) + I3/(I1 + I2+ I3+ I4+ I5) + V20/(V10 + V20+ V30) + K2/(K1+ K2+ K3) is further arranged in the central control module.

Further, a standard early warning coefficient B0 is also arranged in the central control module, if the early warning coefficient B is larger than or equal to the standard early warning coefficient B0, a warning module is used for giving an alarm, and the warning module is connected with the central control module; and if the warning coefficient B is less than a standard warning coefficient B0, the warning module is not started, and the standard warning coefficient B0= (V10 + V20+ V30)/3 xV 20.

Compared with the prior art, the smoke particle size detection method has the advantages that the smoke particle size of the smoke is detected in the dense smoke area, the middle smoke area and the low smoke area, the quotient is made according to the detected smoke particle size at different moments and the time period between the two moments, the smoke particle size change speed is further obtained, the smoke particle size change speed of the dense smoke area, the smoke particle size change speed of the middle smoke area and the smoke particle size change speed of the low smoke area are compared with the particle size change standard speed V0, and when the smoke particle size change speeds of the three areas are lower than the particle size change standard speed V0, the spreading trend does not need to be compensated; if any two values of the change speeds of the smoke dust granularity in the three regions are more than or equal to the standard speed V0 of the granularity change, the fire source is expanded in development, the combustion is more violent, and therefore the spreading trend is compensated by 0.5 grade; if the change speed of the smoke granularity in the three areas is greater than the standard change speed V0 of the granularity, the fire source is rapidly expanded, the combustion intensity is higher, and therefore the spreading trend is compensated for by 1 level, in the practical application process, if the spread trend is compensated by one level, the fire spread is fast, a more strict fire fighting scheme needs to be adopted for processing the fire spread, in the detection process, if at least two 0.5-level compensations exist, the spreading trend can be upgraded, the embodiment of the invention adopts the change speed of the smoke granularity, the severity of the change of the fire source is evaluated, so that the judgment of the spreading trend is more accurate, therefore, a more accurate fire fighting scheme can be adopted, so that the process of fighting fire for the building is quicker, and the optimal utilization of fire fighting personnel, fire fighting methods and fire fighting equipment is realized.

In particular, in order to further make the home building model more realistic, real-time air flow rate information, real-time humidity information and real-time temperature information of the building are received and applied to the fire source of the building to predict how the fire source of the building will change under the actual environment of the building, wherein the fire source comprises a fire area, a dense smoke area, a middle smoke area and a low smoke area, and each area of the fire source will change along with the change of the environment, so that the fire source is continuously changed along with the time under the effect of the actual environmental factors, and the fire intensity will increase or decrease along with the change of the environment, so that the spreading trend changes, in the embodiment of the invention, a fire intensity matrix I (I1, I2, I3, I4, I5) and a fire fighting scheme matrix P (P1, P2, P3, P4, P5) are arranged in the central control module, and different fire fighting schemes are selected according to the different spreading trends, if the spreading tendency is high, the loss caused by the method is likely to be large, if the spreading tendency is low, the loss caused by the method is likely to be small, and due to different losses caused by the method, the adopted fire fighting schemes are necessarily different, so that the optimal utilization of resources is realized, and the optimal scheme is adopted to face the current spreading tendency.

Especially, through setting up different rescue curves, realize withdrawing the inflammables in different scopes to correspond different fire fighting schemes, make fire fighting method more intelligent, be convenient for to the accurate control of condition of a fire.

In particular, different rescue curves correspond to different fire fighting schemes, and the range corresponding to the rescue curves is compensated according to the real-time air flow rate of each region in the embodiment of the invention, so that in practical application, if the air flow rate is increased, the diffusion speed is higher, and the fire spreading range is larger, therefore, in order to suppress the fire, the rescue curves need to be compensated to adapt to the fire spreading range, and the intelligent control of the fire is realized.

Particularly, the first compensation coefficient, the second compensation coefficient and the third compensation coefficient are set to compensate each rescue curve, so that the corresponding range of the corresponding rescue curve is enlarged under the condition that the fire is enlarged, more affected inflammable objects are cut down, the development of the fire is suppressed in time, the timely control of the fire is realized, the spreading of the fire is effectively prevented, and the safety coefficient of building fire prevention is improved.

In particular, by establishing a calculation formula of a first compensation coefficient, a second compensation coefficient and a third compensation coefficient, wherein each compensation coefficient is related to the change speed of the air flow rate and the change speed of the smoke particle size, the first compensation coefficient is larger and related to the air flow rate of the dense smoke region and the change speed of the smoke particle size, the third compensation coefficient is smaller and related to the air flow rate of the low smoke region and the change speed of the smoke particle size, the influence proportions of the air flow rate and the change speed of the smoke particle size on the compensation coefficients can be different or the same, alpha and beta can be 0.5 respectively, which shows that the influence degrees of the alpha and the beta on the compensation coefficients are the same, the embodiment of the invention measures the size of the compensation coefficients through the change speeds of the air flow rate and the smoke particle size, further changes the size of a rescue curve range, realizes that the rescue curve range is changed according to the change speeds of the air flow rate and the smoke particle size, realize intelligent judgement rescue curved scope, be convenient for carry out real time control to the condition of a fire according to actual air velocity and smoke and dust granularity.

Particularly, the fire is warned by setting a warning coefficient B, in the embodiment of the present invention, the control degree of the fire is related to a rescue curve, a spreading tendency, an air flow rate and a compensation coefficient, and in the embodiment of the present invention, the warning coefficient B = S3/(S1 + S2+ S3+ S4+ S5) + I3/(I1 + I2+ I3+ I4+ I5) + V20/(V10 + V20+ V30) + K2/(K1+ K2+ K3), so that the control capability of the fire is comprehensively evaluated, if the suppression degree of the fire is good, the warning coefficient B is small, the warning standard cannot be achieved, the warning is not performed, but if the suppression capability of the fire is poor in the actual simulation process, the warning coefficient B is large, and the warning standard is exceeded, the current scheme is modified, so that the fire is regulated and strong control of the fire is achieved, within the early warning standard range, the effectiveness of building fire prevention is improved.

In particular, the standard early warning coefficient B0 arranged in the central control module is compared in real time to realize real-time monitoring and early warning, and the risk of improper fire control is effectively reduced, but the standard early warning coefficient B0 in the embodiment of the invention is determined according to the standard air flow rate of each region, and the standard early warning coefficient B0= (V10 + V20+ V30)/3 xV 20, so that the determination of the standard is more consistent with the actual situation in a household building model, the fire control is more accurate, the fire spreading is effectively prevented, and the effective control of the building fire is improved.

Drawings

Fig. 1 is a schematic structural diagram of a household intelligent security fire-fighting early-warning protection system based on big data according to an embodiment of the present invention;

fig. 2 is a schematic diagram illustrating division of rescue ranges corresponding to a fire source and a rescue curve in the embodiment of the present invention.

Detailed Description

In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.

Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.

Referring to fig. 1, a home intelligent security fire-fighting early-warning protection system based on big data according to an embodiment of the present invention includes:

the modeling module 100 is used for establishing a virtual home building model and a fire source arranged at any position in the home building model, wherein the fire source comprises a flame area, a dense smoke area, a middle smoke area and a low smoke area; the receiving module 200 receives real-time air flow rate information, real-time humidity information and real-time temperature information of a building; the central control module 300 is respectively connected with the receiving module and the modeling module, acts the real-time air flow rate information, the real-time humidity information and the real-time temperature information of the building on the fire source, evaluates the phagocytosis of the fire source on the surrounding environment, and establishes a corresponding fire fighting scheme according to a simulation result; the intelligent monitoring system further comprises an alarm module 400, wherein the central control module 300 is respectively connected with the modeling module 100, the receiving module 200 and the alarm module 400.

Specifically, a fire behavior matrix I (I1, I2, I3, I4, I5) and a fire fighting scheme matrix P (P1, P2, P3, P4, P5) are arranged in the central control module, wherein I1 represents a first spreading trend, I2 represents a second spreading trend, I3 represents a third spreading trend, I4 represents a fourth spreading trend, I5 represents a fifth spreading trend, and I1< I2< I3< I4< I5; p1 denotes a first fire fighting scheme, P2 denotes a second fire fighting scheme, P3 denotes a third fire fighting scheme, P4 denotes a fourth fire fighting scheme, P5 denotes a fifth fire fighting scheme,

when the determining unit 301 in the central control module is used for determining that the phagocytosis of the fire source to the surrounding environment belongs to a first spreading tendency I1, selecting a first fire fighting scheme P1 from the selecting unit 302 in the central control module;

when the central control module determines that the phagocytosis of the surrounding environment by the fire source belongs to a second spreading trend I2, selecting a second fire fighting scheme P2 from the central control module;

when the central control module determines that the phagocytosis of the surrounding environment by the fire source belongs to a third spreading trend I3, selecting a third fire fighting scheme P3 from the central control module;

when the central control module determines that the phagocytosis of the surrounding environment by the fire source belongs to a fourth spreading tendency I4, selecting a fourth fire fighting scheme P4 from the central control module;

and when the central control module determines that the phagocytosis of the surrounding environment by the fire source belongs to a fifth spreading trend I5, selecting a fifth fire fighting plan P5 from the central control module.

Specifically, in the early warning model establishing process, firstly, a three-dimensional domestic building model is established, the position of a combustible in a building is simulated, a fire source is arranged in the building to realize the simulation of the fire of the building, and a fire fighting scheme is further implemented according to different situations, in the embodiment of the invention, in order to further enable the domestic building model to be more realistic, real-time air flow velocity information, real-time humidity information and real-time temperature information of the building are received and are acted on the fire source of the building to predict the change of the fire source of the building under the actual environment of the building, the fire source comprises a flame area, a dense smoke area, a medium smoke area and a low smoke area, and each area of the fire source also changes along with the change of the environment, so that under the action of actual environmental factors, the fire source changes along with the time, and the fire intensity also increases or decreases along with the change of the environment, in the embodiment of the invention, a fire behavior matrix I (I1, I2, I3, I4, I5) and a fire fighting scheme matrix P (P1, P2, P3, P4, P5) are arranged in the central control module, different fire fighting schemes are selected by the central control module according to different spreading trends, if the spreading trend is high, the loss caused by the fire fighting schemes is likely to be larger, if the spreading trend is low, the loss caused by the fire fighting schemes is likely to be smaller, and due to different losses, the fire fighting schemes adopted are inevitably different, so that the optimal utilization of resources is realized, and the optimal scheme is adopted to face the current spreading trend.

Specifically, at any time i, detecting the granularity PS1i of the smoke-rich area, the granularity PS2i of the middle smoke area and the granularity PS3i of the low smoke area, wherein the smoke-rich area, the middle smoke area and the low smoke area are sequentially far away from the flame area, and after the time T1, detecting the granularity PS11i of the smoke-rich area, the granularity PS22i of the middle smoke area and the granularity PS33i of the low smoke area at the time i + T1, and compensating the spreading tendency according to the smoke granularity change speeds of the smoke-rich area, the middle smoke area and the low smoke area;

a granularity change standard speed V0 is arranged in the central control module;

comparing | PS11i-PS1i |/T1, | PS22i-PS2i |/T1 and | PS33i-PS3i |/T1 with the standard velocity of particle size change V0, respectively; if the | PS11i-PS1i | T1, | PS22i-PS2i | T1 and | PS33i-PS3i | T1 all < the standard speed of granularity change V0, no compensation for the spreading tendency is needed;

if any two values of the PS11i-PS1 i/T1, | PS22i-PS2 i/T1 and | PS33i-PS3 i/T1 are more than or equal to the standard speed V0 of granularity change, the spreading tendency is compensated for by 0.5 level;

if three numerical values of PS11i-PS1 i/T1, | PS22i-PS2 i/T1 and | PS33i-PS3 i/T1 are all more than or equal to the standard speed V0 of granularity change, compensating the spreading trend by 1 level;

and the central control module determines a corresponding fire fighting scheme according to the real-time spreading trend.

Specifically, the big-data-based household intelligent safety fire-fighting early-warning protection system provided by the embodiment of the invention detects the smoke particle sizes of the dense smoke area, the medium smoke area and the low smoke area at any time, and makes a quotient according to the detected smoke particle sizes at different times and the time period between the two times, so as to obtain the smoke particle size change speed, and compares the smoke particle size change speed of the dense smoke area, the smoke particle size change speed of the medium smoke area and the smoke particle size change speed of the low smoke area with the particle size change standard speed V0, and when the smoke particle size change speeds of the three areas are all lower than the particle size change standard speed V0, the spreading tendency does not need to be compensated; if any two values of the change speeds of the smoke dust granularity in the three regions are more than or equal to the standard speed V0 of the granularity change, the fire source is expanded in development, the combustion is more violent, and therefore the spreading trend is compensated by 0.5 grade; if the change speed of the smoke particle size is greater than the standard change speed of the particle size V0, it means that = the fire source is expanded quickly and the combustion intensity is higher, so the spreading tendency will be compensated by 1 level, in the practical application process, if the spread trend is compensated by one level, the fire spread is fast, a more strict fire fighting scheme needs to be adopted for processing the fire spread, in the detection process, if at least two 0.5-level compensations exist, the spreading trend can be upgraded, the embodiment of the invention adopts the change speed of the smoke granularity, the severity of the change of the fire source is evaluated, so that the judgment of the spreading trend is more accurate, therefore, a more accurate fire fighting scheme can be adopted, so that the process of fighting fire for the building is quicker, and the optimal utilization of fire fighting personnel, fire fighting methods and fire fighting equipment is realized.

Specifically, different rescue curves are arranged in the central control module, namely a first rescue curve range S1, a second rescue curve range S2, a third rescue curve range S3, a fourth rescue curve range S4 and a fifth rescue curve range S5, the different rescue curves represent different rescue ranges, and the rescue range corresponding to the first rescue curve range S1 > the rescue range corresponding to the second rescue curve range S2 > the rescue range corresponding to the third rescue curve range S3 > the rescue range corresponding to the fourth rescue curve range S4 > the rescue range corresponding to the fifth rescue curve range S5;

when the central control module selects the first fire fighting scheme P1, selecting a rescue range corresponding to a first rescue curve range S1, and evacuating all inflammable matters in the first rescue curve range S1;

when the central control module selects the second fire fighting scheme P2, selecting a rescue range corresponding to a second rescue curve range S2, and evacuating all inflammable matters in the second rescue curve range S2;

when the central control module selects the third fire fighting scheme P3, selecting a rescue range corresponding to a third rescue curve range S3, and evacuating all inflammable matters in the third rescue curve range S3;

when the central control module selects the fourth fire fighting scheme P4, a rescue range corresponding to a fourth rescue curve range S4 is selected, and inflammable matters in the fourth rescue curve range S4 are completely evacuated;

when the central control module selects the fifth fire fighting plan P5, a rescue range corresponding to a fifth rescue curve range S5 is selected, and combustibles within the fifth rescue curve range S5 are completely evacuated to suppress the fire.

Specifically, the rescue curve in the embodiment of the present invention is a three-dimensional annular space, which is illustrated by taking fig. 2 as an example, fig. 2 is a schematic diagram of a fire source and a rescue curve in the embodiment of the present invention, in fig. 2, the fire source includes a fire zone arranged at the innermost side, and a dense smoke zone, a medium smoke zone and a low smoke zone arranged at the periphery of the fire zone, and the rescue curve is arranged to determine in which range the inflammable substances are required to be evacuated in the fire extinguishing process for the purpose of fire extinguishing, as can be seen in fig. 2 of the present invention, wherein the range of the first rescue curve S1 refers to a range in which the first rescue curve is far away from the fire zone, for example, the rescue range corresponding to the fifth rescue curve range S5 refers to a range corresponding to a side of the first rescue curve S5 far away from the fire zone, and the inflammable substances in this range need to be all evacuated, when the embodiment of the present invention is used for constructing a model, and the mode of evacuating the inflammable matters is adopted for simulation, so that the simulation of the actual fire extinguishing situation is facilitated, and the result is more real. Through setting up different rescue curves, realize withdrawing the inflammables in different scopes to correspond different fire fighting schemes, make the fire fighting method more intelligent, be convenient for to the accurate control of condition of a fire.

Specifically, during fire suppression, a real-time air flow velocity V1t of a dense smoke zone, a real-time air flow velocity V2t of a middle smoke zone and a real-time air flow velocity V3t of a low smoke zone are detected, and a standard air flow velocity matrix V00 (V10, V20 and V30) is arranged in the central control module, wherein V10 represents the standard air flow velocity of the dense smoke zone, V20 represents the standard air flow velocity of the middle smoke zone, and V30 represents the standard air flow velocity of the low smoke zone; the central control module is also provided with a rescue curve compensation matrix K (K1, K2, K3), wherein K1 represents a first compensation coefficient, K2 represents a second compensation coefficient, K3 represents a third compensation coefficient, and K1> K2> K3;

and respectively comparing the real-time air flow velocity V1t of the dense smoke zone with the standard air flow velocity V10 of the dense smoke zone, the real-time air flow velocity V2t of the middle smoke zone with the standard air flow velocity V20 of the middle smoke zone, the real-time air flow velocity V3t of the low smoke zone and the standard air flow velocity V30 of the low smoke zone, selecting the compensation coefficients in a rescue curve compensation matrix K (K1, K2 and K3) according to the comparison result, and compensating the rescue curve according to the corresponding compensation coefficients.

Specifically, different rescue curves correspond to different fire fighting schemes, and the range corresponding to the rescue curves is compensated according to the real-time air flow rate of each region in the embodiment of the present invention, in practical applications, if the air flow rate is increased, the diffusion speed is higher, and the range of fire spreading is larger, so that in order to suppress the fire, the rescue curves need to be compensated to adapt to the range of fire spreading, so as to realize intelligent control of the fire.

Specifically, if the real-time air flow rate V1t of the smoke-rich zone is greater than the standard air flow rate V10 of the smoke-rich zone, selecting a first compensation coefficient K1 in the rescue curve compensation matrix K (K1, K2, K3) to compensate the rescue curve, wherein the compensated first rescue curve is S1 x (1-K1), the compensated second rescue curve is S2 x (1-K1), the compensated third rescue curve is S3 x (1-K1), the compensated fourth rescue curve is S4 x (1-K1), and the compensated fifth rescue curve is S5 x (1-K1);

if the real-time air flow velocity V2t of the middle smoke zone is greater than the standard air flow velocity V20 of the middle smoke zone, selecting a second compensation coefficient K2 in the rescue curve compensation matrix K (K1, K2, K3) to compensate the rescue curve, wherein the compensated first rescue curve is S1 x (1-K2), the compensated second rescue curve is S2 x (1-K2), the compensated third rescue curve is S3 x (1-K2), the compensated fourth rescue curve is S4 x (1-K2) and the compensated fifth rescue curve is S5 x (1-K2);

and if the real-time air flow velocity V3t of the low smoke region is greater than the standard air flow velocity V30 of the low smoke region, selecting a third compensation coefficient K3 in the rescue curve compensation matrix K (K1, K2, K3) to compensate the rescue curve, wherein the compensated first rescue curve is S1 x (1-K3), the compensated second rescue curve is S2 x (1-K3), the compensated third rescue curve is S3 x (1-K3), the compensated fourth rescue curve is S4 x (1-K3) and the compensated fifth rescue curve is S5 x (1-K3).

Specifically, in the embodiment of the invention, the first compensation coefficient, the second compensation coefficient and the third compensation coefficient are set to compensate each rescue curve, so that under the condition of expanded fire, the corresponding range of the corresponding rescue curve is expanded, more affected inflammable matters are cut down, the development of the fire is suppressed in time, the timely control of the fire is realized, the spread of the fire is effectively prevented, and the safety factor of building fire prevention is improved.

Specifically, the first compensation coefficient K1= α × (V1 t-V10)/V10 +3 × β × PS1 i/(PS 1i + PS2i + PS3 i),

the second compensation coefficient K2= α × (V2 t-V20)/V20 +3 × β × PS2 i/(PS 1i + PS2i + PS3 i),

the third compensation coefficient K3= α × (V3 t-V30)/V30 +3 × β × PS3 i/(PS 1i + PS2i + PS3 i),

where α represents an air flow velocity weighting factor, β represents a soot particle size weighting factor, and α + β = 1.

Specifically, the embodiment of the invention realizes that the range of the rescue curve is changed according to the change speeds of the air flow rate and the smoke particle size by establishing a calculation formula of a first compensation coefficient, a second compensation coefficient and a third compensation coefficient, wherein each compensation coefficient is related to the change speeds of the air flow rate and the smoke particle size, the first compensation coefficient is larger and related to the change speeds of the air flow rate and the smoke particle size of the dense smoke region, the third compensation coefficient is smaller and related to the change speeds of the air flow rate and the smoke particle size of the low smoke region, the influence ratios of the air flow rate and the change speeds of the smoke particle size on the compensation coefficients can be different or the same, and both alpha and beta can be 0.5 to indicate that the influence degrees of the alpha and the beta on the compensation coefficients are the same, realize intelligent judgement rescue curved scope, be convenient for carry out real time control to the condition of a fire according to actual air velocity and smoke and dust granularity.

Specifically, the air flow rate weight coefficient α = combustibles coverage area/building area in the home building model; and the smoke granularity weight coefficient beta = non-inflammable substance coverage area/building area in the household building model.

Specifically, the air flow velocity weight coefficient α and the smoke dust particle weight coefficient β in the embodiment of the present invention may be expressed in various ways, and may be given numerical values, and in the embodiment of the present invention, the two coefficients are associated with the area of the building, so that when different building areas are simulated, the two coefficients are changed, and are more suitable for the use scene of the building, and the fire situation is certainly controlled differently according to different building areas and different inflammable coverage areas, and by setting the air flow velocity weight coefficient α and the smoke dust particle weight coefficient β, the finally determined compensation coefficient is more accurate, the fire situation is controlled more accurately, the fire situation is controlled more rapidly, and the fire extinguishing efficiency is improved.

Specifically, an early warning coefficient B = S3/(S1 + S2+ S3+ S4+ S5) + I3/(I1 + I2+ I3+ I4+ I5) + V20/(V10 + V20+ V30) + K2/(K1+ K2+ K3) is further arranged in the central control module.

Specifically, the embodiment of the present invention sets the warning coefficient B to warn the fire, in the embodiment of the present invention, the control degree of the fire is related to the rescue curve, the spreading tendency, the air flow rate and the compensation coefficient, and the embodiment of the present invention comprehensively evaluates the control capability of the fire by the warning coefficient B = S3/(S1 + S2+ S3+ S4+ S5) + I3/(I1 + I2+ I3+ I4+ I5) + V20/(V10 + V20+ V30) + K2/(K1+ K2+ K3), if the suppression degree of the fire is good, the warning coefficient B is small, the warning standard cannot be achieved, the warning is not performed, but if the suppression capability of the fire is poor in the actual simulation process, the warning coefficient B is large, and exceeds the warning standard, the current warning scheme is modified so that the warning scheme is adjusted, the fire condition is effectively controlled, and the effectiveness of building fire prevention is improved within the early warning standard range.

Specifically, a standard early warning coefficient B0 is also arranged in the central control module, if the early warning coefficient B is larger than or equal to a standard early warning coefficient B0, a warning module is used for giving an alarm, and the warning module is connected with the central control module; and if the early warning coefficient B is less than a standard early warning coefficient B0, the warning module is not started, and the standard early warning coefficient B0= (the standard air flow rate V10 of the dense smoke zone + the standard air flow rate V20 of the middle smoke zone + the standard air flow rate V30 of the low smoke zone)/3 xV 20.

Specifically, in the intelligent household fire-fighting safety early-warning protection system based on big data in the embodiment of the invention, the standard early-warning coefficients B0 arranged in the central control module are compared in real time to realize real-time monitoring and early-warning and effectively reduce the risk of improper fire control, but the standard early-warning coefficient B0 in the embodiment of the invention is determined according to the standard air flow rate of each region, and the standard early-warning coefficient B0= (V10 + V20+ V30)/3 xV 20 enables the determination of the standard to better conform to the actual situation in a household building model, so that the control of the fire is more accurate, the spread of the fire is effectively prevented, and the effective controllability of the building fire is improved.

So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.