Intelligent response control method and system for fire isolation bin based on multi-source sensing fusion

Abstract

The invention provides a fire isolation bin intelligent response control method and system based on multi-source sensing fusion, and belongs to the field of intelligent control. The problem of low fire isolation efficiency of the isolation bin is solved; the method specifically comprises the following steps: calculating a safety critical value of water vapor concentration in an isolation bin; the temperature gradient change of each area of the electric vehicle is analyzed, and the spraying position and the conical angle of a side spraying device are adjusted; the flame recognition model monitors open fire on the electric vehicle, the shell temperature and the battery temperature of the electric vehicle are reversely deduced according to the flame temperature, and the spraying angle and the water mist flow speed of a spraying head of a bottom spraying array part or the spraying position and the conical angle of a side spraying device are adjusted in combination with a 3D thermodynamic diagram of a battery pack; according to the safety critical value of the water vapor concentration, the air inlet amount and the air outlet amount of the isolation bin are adjusted; mathematical analysis and mathematical modeling are carried out on fire accidents of the isolated electric vehicle, the spraying mode of the spraying head in the isolated bin is controlled, and the fire extinguishing efficiency is improved.

Description

Technical Field

[0001] The present invention discloses a fire isolation chamber intelligent response control method and system based on multi-source perception fusion, and relates to the field of intelligent control. Background Art

[0002] The existing control methods or systems for fire isolation chambers have the following deficiencies:

[0003] Fixed size and cannot be adjusted: Most existing isolation chambers adopt a fixed structure design and cannot be adjusted according to the size of the vehicle, resulting in either an inability to accommodate large vehicles or a waste of space for small vehicles. In addition, traditional isolation chambers often require manual assembly or mechanical lifting, and the deployment time is as long as several minutes, missing the golden time for early fire disposal.

[0004] Slow response speed: The temperature sensing systems installed in some existing isolation chambers usually have a response delay of more than 10 seconds, which makes it impossible to intervene in the early stages of thermal runaway. Most systems use a unidirectional spray design for fire extinguishing. This design not only has a large blind spot, but also, especially in the critical chassis battery area of ​​electric vehicles, large-particle fire extinguishing agents cannot effectively penetrate into the battery pack, limiting the fire extinguishing effect. There is also no heat source positioning capability, and only uniform spraying is possible, resulting in waste of fire extinguishing agents and poor results.

[0005] Insufficient explosion-proof considerations: Some existing isolation chambers do not consider the explosion risk caused by thermal runaway of electric vehicle batteries, resulting in the inability of the chamber materials and structures to withstand an explosion pressure of ≥2.5MPa, posing a risk of rupture. They also cannot actively reduce the oxygen concentration or quickly cool the vehicle body, and cannot effectively suppress combustion, posing a risk of re-ignition and explosion. Summary of the Invention

[0006] In view of the shortcomings of the existing technology, the purpose of the present invention is to provide a fire isolation chamber intelligent response control method and system based on multi-source perception fusion, aiming to solve the problem of low fire isolation efficiency in isolation chambers.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: A fire isolation chamber intelligent response control method based on multi-source perception fusion includes:

[0008] Obtain fire images and build a flame recognition model; obtain the dimensions of the isolation chamber and the spacing between the sprinkler heads in the bottom spray array to construct a coordinate system; obtain the initial temperature and initial pressure, obtain the average temperature and pressure inside the isolation chamber after the electric vehicle enters the isolation chamber, obtain the pressure limit of the isolation chamber, and calculate the safety critical value of the water vapor concentration in the isolation chamber;

[0009] The flame recognition model monitors the temperature of each area of ​​the electric vehicle in the isolation chamber, analyzes the temperature gradient changes in each area of ​​the electric vehicle, and adjusts the spray position and cone angle of the side spray device. The flame recognition model monitors the open flame on the electric vehicle, reversely infers the outer shell temperature and battery temperature of the electric vehicle based on the flame temperature, and combines the 3D thermal map of the battery pack to determine whether the electric vehicle has a battery pack fire. If so, the spray angle and water mist flow rate of the sprinkler heads of the bottom spray array are adjusted; if not, the spray position and cone angle of the side spray device are adjusted again.

[0010] Monitor the oxygen concentration and harmful gas concentration in the isolation chamber in real time; adjust the water mist spray rate and spray volume of all sprinkler heads in the isolation chamber according to the safety critical value of water vapor concentration, and adjust the air intake and outlet of the isolation chamber.

[0011] Furthermore, the isolation chamber includes:

[0012] A-grade fireproof panels are laid in the isolation chamber as a physical isolation layer;

[0013] A 360° nano-temperature controlled fire extinguishing device is installed on the top of the isolation chamber to actively extinguish fires of electric vehicles in the isolation chamber;

[0014] Four nano-scale temperature-sensing spray devices are installed on the side of the isolation chamber to construct a 3D thermal map of the battery pack in real time and dynamically adjust the spray target.

[0015] A 30° directional spray array is installed at the bottom of the isolation chamber to spray the bottom of the electric vehicle at a 270° angle, achieving cooling, smoke reduction, and chassis cooling and fire extinguishing.

[0016] The default fire extinguishing logic of the isolation chamber is:

[0017] After the electric vehicle enters the isolation chamber, the side spray device is activated to continuously monitor the overall temperature of the electric vehicle;

[0018] If the temperature of a local area of ​​the electric vehicle or the entire electric vehicle is not lower than 200°C, activate the top fire extinguishing device;

[0019] If the temperature of a local area of ​​the electric vehicle or the entire electric vehicle is not lower than 400°C, the bottom spray array is activated and the water mist sprayed by the side spray device is refined to perform lateral explosion suppression;

[0020] If both the top fire extinguishing device and the bottom sprinkler array are turned on, the temperature of the local area of ​​the electric vehicle or the entire electric vehicle will be continuously monitored until the overall temperature of the electric vehicle drops below 80°C, and then the top fire extinguishing device and the bottom sprinkler array will be turned off;

[0021] The default explosion suppression logic of the isolation chamber is:

[0022] During the fire extinguishing process in the isolation chamber, reduce the air intake outside the isolation chamber to isolate oxygen and control the oxygen concentration in the isolation chamber to below 15%;

[0023] Adding perfluorohexanone microcapsules to the spray liquid in the side spray device, the top fire extinguishing device and the bottom spray array;

[0024] Monitor the concentration of harmful gases in the isolation chamber in real time, increase the exhaust volume of harmful gases in the isolation chamber, and avoid explosion of the isolation chamber.

[0025] Furthermore, the calculation process of the water vapor concentration safety critical value is as follows:

[0026] Get the initial temperature T (0) , initial pressure P (0) and the internal volume of the isolation chamber Vs;

[0027] Get the average temperature T (now) , pressure inside the warehouse P (now) And the withstand voltage limit P (max) ;

[0028] Calculate the mass of hydrogen produced m (氢) :

[0029] Where R represents the ideal gas constant;

[0030] Calculate the safety mass m of water mist (水) :m (水) =m (氢) ×9;

[0031] Calculate the partial pressure P of water mist (水) :

[0032]

[0033] Calculate the air partial pressure P in the isolation chamber (air) :

[0034]

[0035] Comparison (P (水) +P (air) ) and P (max) The size of C (水) Value:

[0036] If (P (水) +P (air) )≤P (max) , then C (水) The calculation formula is:

[0037]

[0038] If (P (水) +P (air) )>P (max) , then C (水) The calculation formula is:

[0039]

[0040] Furthermore, the steps for adjusting the side spray device are as follows:

[0041] Assume that the interior of the isolation chamber is a cuboid of ABCD-EFGH, with D as the origin, AD as the longitudinal axis, CD as the transverse axis, and HD as the vertical axis, to construct a coordinate system;

[0042] Assume that the coordinate of the electric vehicle projected on the CDGH surface in the coordinate system is ro (1) ~ro (an) ; Where an represents the number of projected coordinates of the electric vehicle on the CDGH surface;

[0043] Determine whether the nozzle of the side spray device is a multi-hole nozzle, and adjust the spray position and nozzle angle of the CDGH surface side spray device;

[0044] If the nozzle of the side spray device is a multi-hole nozzle, then (1) ~ro (an) Extract the maximum and minimum coordinate points of the horizontal and vertical axes, and adjust the water mist flow rate, angle and water pressure of each small hole;

[0045] If the nozzle of the side sprinkler is a single-hole nozzle, calculate ro (1) ~ro (an) Temperature gradient and average temperature, give priority to spraying high temperature area and recirculating spray;

[0046] Adjust the spray position and nozzle angle of the side spray devices on the ABEF, BCFG and ADEH surfaces;

[0047] Use flame recognition model to monitor whether electric vehicles have open flames;

[0048] If it does not appear, it will not be processed;

[0049] If it occurs, the outer shell temperature and battery temperature of the electric vehicle can be reversely inferred based on the flame temperature.

[0050] Furthermore, the adjustment steps of the porous nozzle are as follows:

[0051] In ro (1) ~ro (an) Extract the maximum coordinate point rt on the horizontal axis (max) , the smallest coordinate point rt (min) ; Calculate rt (max) With rt(min) The horizontal axis difference crt;

[0052] In ro (1) ~ro (an) Extract the largest coordinate point rl of the vertical axis (max) , the smallest coordinate point rl (min) ; Calculate rl (max) With rl (min) Vertical axis difference crl;

[0053] Extract rt (min) The horizontal axis coordinate xrt;

[0054] Adjust the side spray device on the CDGH surface to location;

[0055] Get the number of small holes ns and the radius rs of the small holes of the sprinkler head, get the water supply flow Qw of the sprinkler head, and calculate the basic flow rate v of each small hole (0) :

[0056]

[0057] Calculate the vertical component velocity vz of all small holes:

[0058] Let the horizontal component velocity of the sth hole be vx (s) , define calculation formula B-1-1:

[0059]

[0060] Among them, θs (s) represents the circular segmentation angle of the sth hole;

[0061] Assume the water mist flow rate of the sth hole is vw (s) , define calculation formula B-1-2:

[0062]

[0063] Calculate the water mist flow rate vw of all small holes (s) ~vw (ns) ;

[0064] Assume that the angle between the spray direction of the sth hole and the ABCD surface is γ (s) , define calculation formula B-1-3:

[0065]

[0066] Calculate the angle γ between the water mist spray direction of all small holes and the ABCD surface (1) ~γ (ns) ;

[0067] Calculate the water supply pressure Pw corresponding to the sprinkler head:

[0068]

[0069] Assume the pressure of the sth hole is ps (s) , define calculation formula B-1-4:

[0070]

[0071] Calculate the pressure ps of all small holes (1) ~ps (ns) ;

[0072] According to vw (s) ~vw (ns) , γ (1) ~γ (ns) and ps (1) ~ps (ns) , adjust the water mist flow rate, spray angle and water pressure of each small hole in the porous nozzle.

[0073] Furthermore, the processing steps of the single-hole nozzle are as follows:

[0074] Calculate RO (1) ~ro (an) Temperature gradient and average temperature;

[0075] Select the coordinate point where the temperature gradient is zero and the temperature of the coordinate point is greater than the average temperature as the high temperature coordinate point;

[0076] Extract the coordinate point with the largest horizontal axis among the high temperature coordinate points tt (max) , the smallest coordinate point on the horizontal axis tt (min) ; Calculate tt (max) with tt (min) The horizontal axis difference ctt;

[0077] Get the vertical distance sh from the front of the electric vehicle to the CDGH surface;

[0078] Calculate the cone angle μ of a single-hole nozzle:

[0079] Extract tt (min) The horizontal axis coordinate xtt;

[0080] Adjust the cone angle in the single-hole nozzle to μ, and point the side spray device on the CDGH surface. and point 0, In the line segment formed, the area of ​​the high temperature coordinate point is sprayed first, and after the temperature of the high temperature coordinate point drops to the average temperature, the area of ​​the high temperature coordinate point is sprayed first. 0, As the starting point, point 0, As the end point, the electric vehicle is sprayed in a cycle.

[0081] Furthermore, the reverse calculation steps of the battery temperature are as follows:

[0082] Get the flame temperature T (fla) , obtain the surface emissivity ε, Stefan-Boltzmann constant σ, and convection heat transfer coefficient hq of the electric vehicle shell, and set the temperature of the electric vehicle shell to T (sur) , construct formula B-5:

[0083]

[0084] Get the thermal conductivity k of the electric vehicle shell (sur) , density ρ (sur) , specific heat capacity cp (sur) , calculate the thermal diffusion coefficient a of the electric vehicle (sur) :

[0085] Obtain the time ti from when the electric vehicle enters the isolation chamber to when the flame recognition model detects the occurrence of an open flame in the electric vehicle;

[0086] Get the thickness h of the battery pack (bat) , calculate and predict the battery temperature T (bat) :

[0087] Where erf represents the error function;

[0088] Get the maximum temperature Tb of the battery pack (max) ;

[0089] Compare T (bat) With Tb (max) The size of the battery pack can be used to determine whether the electric vehicle has a battery fire.

[0090] If T (bat) <Tb (max) , it means that the battery pack is on fire, and the spray angle and water mist flow rate of the sprinkler heads in the bottom spray array should be adjusted;

[0091] If T (bat) ≥Tb (max) , it means that the battery has not caught fire. Mark the fire coordinate point on the electric vehicle and adjust the spray position and nozzle angle of the side spray device according to the fire coordinate point.

[0092] Furthermore, the specific steps for adjusting the bottom spray array are as follows:

[0093] Calculate the average battery temperature of the battery pack and the temperature gradient of each coordinate point in the battery pack;

[0094] Mark the coordinate point in the battery pack where the coordinate temperature is greater than the average battery temperature and the temperature gradient is zero as the target point;

[0095] Get the initial flow rate vd of the water mist from the sprinkler head in the bottom sprinkler array (0) ;

[0096] Calculate the average temperature tte of the non-target point area in the battery pack;

[0097] Get the temperature Te of all target points (1) ~Te (ob) ; Calculate Te (1) ~Te (ob) of and aTe;

[0098] Obtain the coordinates of each sprinkler head in the bottom sprinkler array and calculate the average distance bX from each sprinkler head in the bottom sprinkler array to all target points;

[0099] The coordinate points in the bottom spray array whose distance from the sprinkler head to all target points is less than bX are selected as candidate points; the number of candidate points is rn;

[0100] Select rn in the alternative point (1) The point closest to the first target point is taken as point 1;

[0101] Adjust the flow rate at point 1 to vd (1) :

[0102] Among them, rn (1) Indicates the number of point 1,

[0103] Similarly, select rn from the alternative point (ob) The point closest to the ob-th target point is taken as point ob;

[0104] Adjust the flow rate at point ob to vd (ob) :

[0105] Among them, rn (ob) Indicates the number of ob points,

[0106] The fire isolation chamber intelligent response control system based on multi-source perception fusion includes:

[0107] Data acquisition module: used to obtain fire images and build a flame recognition model; obtain the dimensions of the isolation chamber and the spacing between the sprinkler heads in the bottom sprinkler array to build a coordinate system; obtain the initial temperature and initial pressure, the average temperature and pressure inside the isolation chamber after the electric vehicle enters the isolation chamber, the pressure limit of the isolation chamber, and calculate the safety critical value of the water vapor concentration in the isolation chamber;

[0108] Temperature monitoring module: This module is used to monitor the temperature of various areas of the electric vehicle in the isolation chamber based on the flame recognition model, analyze the temperature gradient changes in various areas of the electric vehicle, and adjust the spray position and nozzle angle of the side spray device. The flame recognition model monitors open flames on the electric vehicle, reversely infers the outer shell temperature and battery temperature of the electric vehicle based on the flame temperature, and combines the 3D thermal map of the battery pack to determine whether the electric vehicle has a battery pack fire.

[0109] If so, adjust the spray angle and water mist flow rate of the sprinkler heads in the bottom spray array;

[0110] If not, adjust the spray position and nozzle angle of the side spray device for a second time;

[0111] Spray adjustment module: used to monitor the oxygen concentration and harmful gas concentration in the isolation chamber in real time; according to the safety critical value of water vapor concentration, adjust the water mist spray rate and spray volume of all sprinkler heads in the isolation chamber, and adjust the air intake and outlet of the isolation chamber.

[0112] Compared with the prior art, the present invention has the following beneficial effects:

[0113] Strong spatial adaptability: The isolation compartment in the present invention adopts a hydraulic linkage telescopic frame, which realizes the rapid conversion from the storage state to the expanded state. The expansion time only takes 3 seconds, which can cover 99% of the passenger car sizes on the market, including large vehicles such as SUVs and MPVs, solving the compatibility problem of different models.

[0114] Composite explosion-proof fire extinguishing system: This invention achieves efficient fire extinguishing through a multi-level technical solution: a physical isolation layer provides a basic protective barrier for fire extinguishing; an active fire extinguishing system quickly cools down the entire electric vehicle that has caught fire; intelligent positioning fire extinguishing: by sensing the spatial position of the electric vehicle in the isolation chamber and the flame and high temperature position on the electric vehicle, the spray target is dynamically adjusted for precise fire extinguishing; this fire extinguishing system creates a fire extinguishing environment with no blind spots, solving the problem of efficient fire extinguishing of electric vehicle fires.

[0115] Multiple protection mechanisms: The present invention uses Class A fireproof panels to block oxygen, suppressing the oxygen concentration in the chamber to <15%, inhibiting combustion. Perfluorohexanone microcapsules are added to the spray liquid, which release free radicals when heated to interrupt the chain reaction. At the same time, the present invention also calculates the safety critical value of water vapor based on the actual water pressure conditions inside the isolation chamber, adjusts the air intake and outlet in the isolation chamber, and effectively avoids the occurrence of explosion accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0116] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments with reference to the following drawings:

[0117] Figure 1 Schematic diagram of the method of the present invention;

[0118] Figure 2 Schematic diagram of the system of the present invention;

[0119] Figure 3 This is a schematic diagram of the isolation chamber of the present invention;

[0120] Figure 4 Schematic diagram of the coordinate system of the present invention. DETAILED DESCRIPTION

[0121] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0122] Example 1

[0123] See also Figure 1 The intelligent response control method for fire isolation chamber based on multi-source perception fusion includes:

[0124] It should be noted that, unless otherwise specified, the term “isolation chamber” mentioned later in this invention refers to a “fire isolation chamber”.

[0125] Step S1: Obtain an image of an electric vehicle fire and construct a flame recognition model; obtain the dimensions of the isolation chamber and the spacing between the sprinkler heads of the bottom spray array to construct a coordinate system; obtain the initial temperature and initial pressure (before the electric vehicle enters the isolation chamber), obtain the average temperature and pressure inside the isolation chamber after the electric vehicle enters the isolation chamber, obtain the pressure limit of the isolation chamber, and calculate the safety critical value of the water vapor concentration in the isolation chamber;

[0126] The specific steps of step S1 are as follows:

[0127] See also Figure 3The dimensions of the isolation chamber in the stored state are: length: 2.8 meters, width: 2.5 meters, height: 2.3 meters; the isolation chamber adopts a hydraulic linkage telescopic frame to achieve rapid expansion in 3 seconds; the dimensions of the isolation chamber after expansion are: length: 5.5 meters, width: 2.5 meters, height: 2.3 meters;

[0128] A-grade fireproof panels (temperature resistance ≥ 1800°C, explosion pressure resistance ≥ 2.5MPa, energy absorption rate of explosion shock wave ≥ 92% (refer to UL9540A standard)) are laid in the isolation chamber as a physical isolation layer;

[0129] A 360° nano-temperature controlled fire extinguishing device (atomized particle size ≤ 100μm, response delay < 0.5s) is installed on the top of the isolation chamber to actively extinguish fires of electric vehicles in the isolation chamber;

[0130] Four nanoscale temperature-sensing spray devices (integrated with a multispectral flame sensor and a thermopile temperature detector) are installed on the sides of the isolation chamber. These devices are used to construct a 3D thermal map of the battery pack in real time and dynamically adjust the spray target (with a positioning accuracy of ±5cm).

[0131] A 30° directional spray array (penetrating the chassis gap ≥ 150mm) is set up at the bottom of the isolation chamber to spray the bottom of the electric vehicle at a 270° angle, achieving cooling, smoke reduction, and chassis cooling and fire extinguishing. (It should be noted that the spray array at the bottom of the isolation chamber is set at a 30° elevation angle by default. In step S3, the elevation and cone angles of some sprinkler heads (in the spray array) will be changed to achieve centralized fire extinguishing.)

[0132] The default fire extinguishing logic of the isolation chamber is:

[0133] After the electric vehicle enters the isolation chamber, the side spray device is activated to continuously monitor the overall temperature of the electric vehicle;

[0134] If the temperature of a local area of ​​the electric vehicle or the entire electric vehicle is not lower than 200°C, activate the top fire extinguishing device;

[0135] If the temperature of a local area of ​​the electric vehicle or the entire electric vehicle is not lower than 400°C, the bottom spray array is activated and the water mist sprayed by the side spray device is refined to perform lateral explosion suppression;

[0136] If both the top fire extinguishing device and the bottom sprinkler array are turned on, the temperature of the local area of ​​the electric vehicle or the entire electric vehicle will be continuously monitored until the overall temperature of the electric vehicle drops below 80°C, and then the top fire extinguishing device and the bottom sprinkler array will be turned off;

[0137] The default explosion suppression logic of the isolation chamber is:

[0138] During the fire extinguishing process in the isolation chamber, reduce the air intake outside the isolation chamber to isolate oxygen and control the oxygen concentration in the isolation chamber to below 15% (volume concentration);

[0139] Add perfluorohexanone microcapsules to the spray liquid in the side spray device, top fire extinguishing device and bottom spray array (free radicals released when heated interrupt the chain reaction and reduce heat);

[0140] Real-time monitoring of the concentration of harmful gases in the isolation chamber, increasing the exhaust volume of harmful gases in the isolation chamber, and avoiding explosions in the isolation chamber;

[0141] The construction process of the flame recognition model is as follows:

[0142] The ShuffleNetV2 module is used as the backbone network. The original Focus layer of the ShuffleNetV2 module is removed (to avoid unnecessary pixel slicing operations). The FPN and PAN parts of the Neck module (in the ShuffleNetV2 module) are pruned to retain the high-level semantic information that is most sensitive to small object detection.

[0143] The ShuffleNetV2 module's "ChannelSplit" and "ChannelShuffle" mechanisms are used to split, convolve, and rearrange input features. A Call-Avoidance (CA) module is embedded after each ShuffleNetV2 stage module. Global pooling is performed horizontally and vertically on the feature map to capture the spatial location of the flame. Coordinate-related weights are generated through shared convolution, automatically adjusting the response strength of the feature channel and enhancing the perception of key flame pixels. The spatial and flame characteristics of fires in different parts of the electric vehicle are obtained.

[0144] During the model training phase, the EIoU function is used as the loss function for the model localization loss of the electric vehicle area in the fire image.

[0145] Binary cross entropy is used as the loss function for the flame judgment function when the model determines whether an electric vehicle is on fire.

[0146] To address the flame location loss of the model, a softmax function is used to output the probability that the flame belongs to the front, rear, battery compartment, etc., and the cross entropy loss is combined as the loss function.

[0147] Obtain fire images of different parts of electric vehicles, perform image enhancement on them, and divide them into training and validation sets to train the flame recognition model;

[0148] See also Figure 4, obtain the length, width, and height of the interior of the isolation chamber and construct a coordinate system (assuming that the interior of the isolation chamber is a rectangular parallelepiped with the shape of ABCD-EFGH, with D as the origin, AD as the vertical axis, CD as the horizontal axis, and HD as the vertical axis to construct the coordinate system);

[0149] Get the number of horizontal sprinkler heads ts and the number of vertical sprinkler heads ls in the bottom sprinkler array;

[0150] In the coordinate system, obtain the sprinkler head coordinates (X (0) , Y (0) );

[0151] (AD is the positive direction of the vertical axis and CD is the positive direction of the horizontal axis) Let the coordinates of the sprinkler head in the i-th row and j-th column of the sprinkler array be (X (i，j) , Y (i，j) ):

[0152] Among them, the value range of i is: 1~ls, the value range of j is: 1~ts;

[0153] Using formula A, we can express the positions of the sprinkler heads in the bottom sprinkler array from row 1, column 1, row 1, column 2, to row 1s, column ts (X (1，1) , Y (1，1) )、(X (1，2) , Y (1，2) )~(X (ls，ts) , Y (ls，ts) );

[0154] Get the initial temperature T (electric vehicle does not enter the isolation chamber) (0) and the initial pressure P (0) ;

[0155] Let the length, width, and height of the isolation chamber be L, W, and H, respectively; calculate the internal volume Vs of the isolation chamber;

[0156] Get the average temperature T inside the isolation chamber after the electric vehicle enters the isolation chamber (now) and the pressure inside the chamber P (now) , obtain the pressure limit P of the isolation chamber (max) , calculate the safety critical value C of water vapor concentration in the isolation chamber (水) ;(C (水) is the volume concentration);

[0157] (C (水) Calculation premise: Since most electric vehicles in my country use lithium batteries, when lithium batteries come into contact with water mist at high temperatures, a chemical reaction will occur to generate hydrogen. When the volume concentration of hydrogen in a confined space exceeds 1%, there is a risk of explosion.

[0158] (According to the chemical equation 2Li+2H2O→2LiOH+H2↑) calculate the mass m of hydrogen produced (氢) :

[0159] Where R represents the ideal gas constant;

[0160] Calculate the safety mass m of water mist (水) :m (水) =m (氢) ×9;

[0161] Calculate the partial pressure P of water mist (水) :

[0162]

[0163] Calculate the air partial pressure P in the isolation chamber (air) :

[0164]

[0165] Comparison (P (水) +P (air) ) and P (max) The size of C (水) Value:

[0166] If (P (水) +P (air) )≤P (max) , then C (水) The calculation formula is:

[0167]

[0168] If (P (水) +P (air) )>P (max) , then C (水) The calculation formula is:

[0169]

[0170] Step S2: Monitor the temperature of each area of ​​the electric vehicle in the isolation chamber according to the flame recognition model, analyze the temperature gradient changes in each area of ​​the electric vehicle, and adjust the spray position and nozzle angle of the side spray device; the flame recognition model monitors the open flame on the electric vehicle (in the isolation chamber), reversely infers the outer shell temperature and battery temperature of the electric vehicle based on the flame temperature, and combines the 3D thermal map of the battery pack (the 3D thermal map of the battery pack is obtained by four nano-scale temperature-sensing spray devices set on the side of the isolation chamber) to determine whether the electric vehicle has a battery pack fire;

[0171] If so, adjust the spray angle and water mist flow rate of the sprinkler heads in the bottom spray array;

[0172] If not, adjust the spray position and nozzle angle of the side spray device for a second time;

[0173] The specific steps of step S2 are as follows:

[0174] Assume that the coordinate of the electric vehicle projected on the CDGH surface in the coordinate system is ro (1) ~ro (an) ; Where an represents the number of projected coordinates of the electric vehicle on the CDGH surface;

[0175] Determine whether the nozzle of the side spray device is a multi-hole nozzle, and adjust the spray position and nozzle angle of the CDGH surface side spray device;

[0176] If the nozzle of the side spray device is a multi-hole nozzle, then (1) ~ro (an) Extract the maximum coordinate point rt on the horizontal axis (max) , the smallest coordinate point rt (min) ; Calculate rt (max) With rt (min) The horizontal axis difference crt;

[0177] In ro (1) ~ro (an) Extract the largest coordinate point rl of the vertical axis (max) , the smallest coordinate point rl (min) ; Calculate rl (max) With rl (min) Vertical axis difference crl; (rt (max) and rt (min) and rl (max) and rl (min) , preferably choose a point close to the origin D);

[0178] Extract rt (min) The horizontal axis coordinate xrt;

[0179] Adjust the side spray device on the CDGH surface to 0, location;

[0180] Get the number of small holes ns and the radius rs of the small holes of the sprinkler head, get the water supply flow Qw of the sprinkler head, and calculate the basic flow rate v of each small hole (0) :

[0181]

[0182] Calculate the vertical component velocity vz of all small holes:

[0183] Let the horizontal component velocity of the sth hole be vx (s), define calculation formula B-1-1:

[0184]

[0185] Among them, θs (s) Indicates the circular surface segmentation angle of the sth small hole; the value range of s is: 1~ns;

[0186] Assume the water mist flow rate of the sth hole is vw (s) , define calculation formula B-1-2:

[0187]

[0188] According to the calculation formula B-1-1 and B-1-2, calculate the water mist flow rate vw of the 1st to nsth small holes (s) ~vw (ns) ;

[0189] Assume that the angle between the spray direction of the sth hole and the ABCD surface is γ (s) , define calculation formula B-1-3:

[0190]

[0191] According to the calculation formula B-1-3, calculate the angle γ between the water mist spray direction of the 1st to nth holes and the ABCD surface (1) ~γ (ns) ;

[0192] Calculate the water supply pressure Pw corresponding to the sprinkler head:

[0193]

[0194] Assume the pressure of the sth hole is ps (s) , define calculation formula B-1-4:

[0195]

[0196] Calculate the pressure ps of the 1st to nsth holes according to the calculation formula B-1-4 (1) ~ps (ns) ;

[0197] According to vw (s) ~vw (ns) , γ (1) ~γ (ns) and ps (1) ~ps (ns) , adjust the water mist flow rate, spray angle and water pressure of each small hole in the multi-hole nozzle;

[0198] If the nozzle of the side sprinkler is a single-hole nozzle, calculate ro (1)~ro (an) Temperature gradient and average temperature;

[0199] Select the coordinate point where the temperature gradient is zero and the temperature of the coordinate point is greater than the average temperature as the high temperature coordinate point;

[0200] Extract the coordinate point with the largest horizontal axis among the high temperature coordinate points tt (max) , the smallest coordinate point on the horizontal axis tt (min) ; Calculate tt (max) with tt (min) The horizontal axis difference ctt;

[0201] Get the vertical distance sh from the front of the electric vehicle to the CDGH surface;

[0202] Calculate the cone angle μ of a single-hole nozzle:

[0203] Extract tt (min) The horizontal axis coordinate xtt;

[0204] The side spray device (on the CDGH surface) is located on the CDGH surface. 0, and point 0, In the line segment formed, the area of ​​the high temperature coordinate point is sprayed first, and after the temperature of the high temperature coordinate point drops to the average temperature, the area of ​​the high temperature coordinate point is sprayed first. 0, As the starting point, point 0, As the end point, the electric vehicle is sprayed in a cycle;

[0205] Repeat the same steps as adjusting the spray position and nozzle angle of the side spray device on the CDGH surface to adjust the spray position and nozzle angle of the side spray device on the ABEF surface, BCFG surface, and ADEH surface;

[0206] Use flame recognition model to monitor whether electric vehicles (in isolated chambers) have open flames;

[0207] If it does not appear, no processing is done and subsequent steps are skipped (directly proceed to step S3);

[0208] If it occurs, the outer shell temperature and battery temperature of the electric vehicle can be inferred in reverse based on the flame temperature;

[0209] Get the flame temperature T (fla) , obtain the surface emissivity ε, Stefan-Boltzmann constant σ, and convection heat transfer coefficient hq of the electric vehicle shell, and set the temperature of the electric vehicle shell to T (sur) , construct formula B-5:

[0210]

[0211] Get the thermal conductivity k of the electric vehicle shell (sur) , density ρ (sur) , specific heat capacity cp (sur) , calculate the thermal diffusion coefficient a of the electric vehicle (sur) :

[0212] Obtain the time ti from when the electric vehicle enters the isolation chamber to when the flame recognition model detects the occurrence of an open flame in the electric vehicle;

[0213] Get the thickness h of the battery pack (bat) , calculate and predict the battery temperature T (bat) :

[0214] Where erf represents the error function;

[0215] Obtain a 3D thermal map of the battery pack (the 3D thermal map of the battery pack is obtained through four nanoscale temperature-sensing spray devices installed on the sides of the isolation chamber) and obtain the maximum temperature Tb(max) of the battery pack based on the 3D thermal map of the battery pack;

[0216] Compare T (bat) With Tb (max) The size of the battery pack can be used to determine whether the electric vehicle has a battery fire.

[0217] If T (bat) <Tb (max) , it means that the battery pack is on fire, and the spray angle and water mist flow rate of the sprinkler heads in the bottom spray array should be adjusted;

[0218] Based on the 3D thermal map of the battery pack, calculate the average battery temperature of the battery pack and the temperature gradient of each coordinate point in the battery pack;

[0219] Mark the coordinate point in the battery pack where the coordinate temperature is greater than the average battery temperature and the temperature gradient is zero as the target point;

[0220] Get the initial flow rate vd of the water mist from the sprinkler head in the bottom sprinkler array (0) ;

[0221] Calculate the average temperature tte of the non-target point area in the battery pack;

[0222] Get the number of target points ob, and get the temperature Te of the first, second, and up to the obth target point (1) 、Te (2) ~Te (ob) ;

[0223] Calculate Te (1) ~Te (ob) of and aTe;

[0224] Get the coordinate point of each sprinkler head in the bottom sprinkler array (i.e. (X in step S1) (1，1) , Y (1，1) )、(X (1，2) , Y (1，2) )~(X (ls，ts) , Y (ls，ts) )), calculate the average distance bX from each sprinkler head in the bottom sprinkler array to all target points;

[0225] The coordinate points whose distance from the sprinkler head to the 1st to obth target points in the bottom sprinkler array is less than bX are selected as candidate points; the number of candidate points is rn;

[0226] Select rn in the alternative point (1) The point closest to the first target point is taken as point 1;

[0227] Adjust the flow rate at point 1 to vd (1) :

[0228] Among them, rn (1) Indicates the number of point 1,

[0229] Select rn in the alternative point (2) The point closest to the second target point is taken as point 2;

[0230] Adjust the flow rate at point 2 to vd (2) :

[0231] Among them, rn (2) Indicates the number of point 2,

[0232] Similarly, select rn from the alternative point (ob) The point closest to the ob-th target point is taken as point ob;

[0233] Adjust the flow rate at point ob to vd (ob) :

[0234] Among them, rn (ob) Indicates the number of ob points,

[0235] rn (1) To rn (ob) All are rounded down, and the minimum value is one;

[0236] If T (bat) ≥Tb (max), it means that the battery has not caught fire. Mark the fire coordinate point on the electric vehicle and repeat the same steps of adjusting the spray position and nozzle angle of the side spray device on the CDGH surface. Adjust the spray position and nozzle angle of the side spray device a second time according to the fire coordinate point.

[0237] Step S3: Real-time monitoring of oxygen concentration and harmful gas concentration in the isolation chamber; according to the safety critical value C of water vapor concentration (水) , adjust the water mist spraying rate and spraying volume of all sprinkler heads in the isolation chamber, and adjust the air intake and outlet volume of the isolation chamber.

[0238] Example 2

[0239] See also Figure 2 The fire isolation chamber intelligent response control system based on multi-source perception fusion includes:

[0240] Data acquisition module: used to obtain (electric vehicle) fire images and build a flame recognition model; obtain the dimensions of the isolation chamber and the spacing between the sprinkler heads of the bottom spray array to build a coordinate system; obtain the initial temperature and initial pressure (before the electric vehicle enters the isolation chamber), obtain the average temperature and pressure inside the isolation chamber after the electric vehicle enters the isolation chamber, obtain the pressure limit of the isolation chamber, and calculate the safety critical value of the water vapor concentration in the isolation chamber;

[0241] Temperature monitoring module: used to monitor the temperature of various areas of the electric vehicle in the isolation chamber based on the flame recognition model, analyze the temperature gradient changes in various areas of the electric vehicle, and adjust the spray position and nozzle angle of the side spray device; the flame recognition model monitors the open flame on the electric vehicle (in the isolation chamber), reversely infers the outer shell temperature and battery temperature of the electric vehicle based on the flame temperature, and combines the 3D thermal map of the battery pack (the 3D thermal map of the battery pack is obtained through the four nano-scale temperature-sensing spray devices installed on the side of the isolation chamber) to determine whether the electric vehicle has a battery pack fire;

[0242] If so, adjust the spray angle and water mist flow rate of the sprinkler heads in the bottom spray array;

[0243] If not, adjust the spray position and nozzle angle of the side spray device for a second time;

[0244] Spray adjustment module: used to monitor the oxygen concentration and harmful gas concentration in the isolation chamber in real time; according to the safety critical value of water vapor concentration, adjust the water mist spray rate and spray volume of all sprinkler heads in the isolation chamber, and adjust the air intake and outlet of the isolation chamber.

[0245] The above formulas are all dimensionless and calculated by taking their numerical values. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions. For example, if there are weight coefficients and proportional coefficients, the size of the settings is to quantify each parameter to obtain a specific value, which is convenient for subsequent comparison. Regarding the size of the weight coefficient and the proportional coefficient, as long as it does not affect the proportional relationship between the parameter and the quantized value, it is fine.

[0246] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the above-described embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-described embodiments within the technical scope disclosed by the present invention, or replace some of the technical features therein with equivalents. Such modifications, changes, or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A fire isolation chamber intelligent response control method based on multi-source perception fusion is characterized by: The method comprises: Obtain fire images and build a flame recognition model; obtain the dimensions of the isolation chamber and the spacing between the sprinkler heads in the bottom spray array to construct a coordinate system; obtain the initial temperature and initial pressure, obtain the average temperature and pressure inside the isolation chamber after the electric vehicle enters the isolation chamber, obtain the pressure limit of the isolation chamber, and calculate the safety critical value of the water vapor concentration in the isolation chamber; The flame recognition model monitors the temperature of each area of ​​the electric vehicle in the isolation chamber, analyzes the temperature gradient changes in each area of ​​the electric vehicle, and adjusts the spray position and cone angle of the side spray device. The flame recognition model monitors the open flame on the electric vehicle, reversely infers the outer shell temperature and battery temperature of the electric vehicle based on the flame temperature, and combines the 3D thermal map of the battery pack to determine whether the electric vehicle has a battery pack fire. If so, the spray angle and water mist flow rate of the sprinkler heads of the bottom spray array are adjusted; if not, the spray position and cone angle of the side spray device are adjusted again. Monitor the oxygen concentration and harmful gas concentration in the isolation chamber in real time; adjust the water mist spray rate and spray volume of all sprinkler heads in the isolation chamber according to the safety critical value of water vapor concentration, and adjust the air intake and outlet of the isolation chamber.

2. The fire isolation chamber intelligent response control method based on multi-source perception fusion according to claim 1 is characterized in that: The isolation chamber includes: A-grade fireproof panels are laid in the isolation chamber as a physical isolation layer; A 360° nano-temperature controlled fire extinguishing device is installed on the top of the isolation chamber to actively extinguish fires of electric vehicles in the isolation chamber; Four nano-scale temperature-sensing spray devices are installed on the side of the isolation chamber to construct a 3D thermal map of the battery pack in real time and dynamically adjust the spray target. A 30° directional spray array is installed at the bottom of the isolation chamber to spray the bottom of the electric vehicle at a 270° angle, achieving cooling, smoke reduction, and chassis cooling and fire extinguishing. The default fire extinguishing logic of the isolation chamber is: After the electric vehicle enters the isolation chamber, the side spray device is activated to continuously monitor the overall temperature of the electric vehicle; If the temperature of a local area of ​​the electric vehicle or the entire electric vehicle is not lower than 200°C, activate the top fire extinguishing device; If the temperature of a local area of ​​the electric vehicle or the entire electric vehicle is not lower than 400°C, the bottom spray array will be activated and the water mist sprayed by the side spray device will be refined to perform lateral explosion suppression; If both the top fire extinguishing device and the bottom sprinkler array are turned on, the temperature of the local area of ​​the electric vehicle or the entire electric vehicle will be continuously monitored until the overall temperature of the electric vehicle drops below 80°C, and then the top fire extinguishing device and the bottom sprinkler array will be turned off; The default explosion suppression logic of the isolation chamber is: During the fire extinguishing process in the isolation chamber, reduce the air intake outside the isolation chamber to isolate oxygen and control the oxygen concentration in the isolation chamber to below 15%; Adding perfluorohexanone microcapsules to the spray liquid in the side spray device, the top fire extinguishing device and the bottom spray array; Monitor the concentration of harmful gases in the isolation chamber in real time, increase the exhaust volume of harmful gases in the isolation chamber, and avoid explosion of the isolation chamber.

3. The fire isolation chamber intelligent response control method based on multi-source perception fusion according to claim 2 is characterized in that: The calculation process of the water vapor concentration safety critical value is as follows: Get the initial temperature T (0) , initial pressure P (0) and the internal volume of the isolation chamber Vs; Get the average temperature T (now) , pressure inside the warehouse P (now) And the withstand voltage limit P (max) ; Calculate the mass of hydrogen produced m (氢) : Where R represents the ideal gas constant; Calculate the safety mass m of water mist (水) :m (水) =m (氢) ×9; Calculate the partial pressure P of water mist (水) : Calculate the air partial pressure P in the isolation chamber (air) : Comparison (P (水) +P (air) ) and P (max) The size of C (水) Value: If (P (水) +P (air) )≤P (max) , then C (水) The calculation formula is: If (P (水) +P (air) )>P (max) , then C (水) The calculation formula is:

4. The fire isolation chamber intelligent response control method based on multi-source perception fusion according to claim 1 is characterized in that: To adjust the side sprinkler system: Assume that the interior of the isolation chamber is a cuboid of ABCD-EFGH, with D as the origin, AD as the longitudinal axis, CD as the transverse axis, and HD as the vertical axis, to construct a coordinate system; Assume that the coordinate of the electric vehicle projected on the CDGH surface in the coordinate system is ro (1) ~ro (an) ; Where an represents the number of projected coordinates of the electric vehicle on the CDGH surface; Determine whether the nozzle of the side spray device is a multi-hole nozzle, and adjust the spray position and nozzle angle of the CDGH surface side spray device; If the nozzle of the side spray device is a multi-hole nozzle, then (1) ~ro (an) Extract the maximum and minimum coordinate points of the horizontal and vertical axes, and adjust the water mist flow rate, angle and water pressure of each small hole; If the nozzle of the side sprinkler is a single-hole nozzle, calculate ro (1) ~ro (an) Temperature gradient and average temperature, give priority to spraying high temperature area and recirculating spray; Adjust the spray position and nozzle angle of the side spray devices on the ABEF, BCFG and ADEH surfaces; Use flame recognition model to monitor whether electric vehicles have open flames; If it does not appear, it will not be processed; If it occurs, the outer shell temperature and battery temperature of the electric vehicle can be reversely inferred based on the flame temperature.

5. The fire isolation chamber intelligent response control method based on multi-source perception fusion according to claim 4 is characterized in that: The adjustment steps of the multi-hole nozzle are as follows: In ro (1) ~ro (an) Extract the maximum coordinate point rt on the horizontal axis (max) , the smallest coordinate point rt (min) ; Calculate rt (max) With rt (min) The horizontal axis difference crt; In ro (1) ~ro (an) Extract the largest coordinate point rl of the vertical axis (max) , the smallest coordinate point rl (min) ; Calculate rl (max) With rl (min) Vertical axis difference crl; Extract rt (min) The horizontal axis coordinate xrt; Adjust the side spray device on the CDGH surface to location; Get the number of small holes ns and the radius rs of the small holes of the sprinkler head, get the water supply flow Qw of the sprinkler head, and calculate the basic flow rate v of each small hole (0) : Calculate the vertical component velocity vz of all small holes: Let the horizontal component velocity of the sth hole be vx (s) , define calculation formula B-1-1: Among them, θs (s) represents the circular segmentation angle of the sth hole; Assume the water mist flow rate of the sth hole is vw (s) , define calculation formula B-1-2: Calculate the water mist flow rate vw of all small holes (s) ~vw (ns) ; Assume that the angle between the spray direction of the sth hole and the ABCD surface is γ (s) , define calculation formula B-1-3: Calculate the angle γ between the water mist spray direction of all small holes and the ABCD surface (1) ~γ (ns) ; Calculate the water supply pressure Pw corresponding to the sprinkler head: Assume the pressure of the sth hole is ps (s) , define calculation formula B-1-4: Calculate the pressure ps of all small holes (1) ~ps (ns) ; According to vw (s) ~vw (ns) , γ (1) ~γ (ns) and ps (1) ~ps (ns) , adjust the water mist flow rate, spray angle and water pressure of each small hole in the porous nozzle.

6. The fire isolation chamber intelligent response control method based on multi-source perception fusion according to claim 4 is characterized in that: The processing steps for a single-hole nozzle are as follows: Calculate RO (1) ~ro (an) Temperature gradient and average temperature; Select the coordinate point where the temperature gradient is zero and the temperature of the coordinate point is greater than the average temperature as the high temperature coordinate point; Extract the coordinate point with the largest horizontal axis among the high temperature coordinate points tt (max) , the smallest coordinate point on the horizontal axis tt (min) ; Calculate tt (max) with tt (min) The horizontal axis difference ctt; Get the vertical distance sh from the front of the electric vehicle to the CDGH surface; Calculate the cone angle μ of a single-hole nozzle: Extract tt (min) The horizontal axis coordinate xtt; Adjust the cone angle in the single-hole nozzle to μ, and point the side spray device on the CDGH surface. and point In the line segment formed, the area of ​​the high temperature coordinate point is sprayed first, and after the temperature of the high temperature coordinate point drops to the average temperature, the area of ​​the high temperature coordinate point is sprayed first. As the starting point, point As the end point, the electric vehicle is sprayed in a cycle.

7. The fire isolation chamber intelligent response control method based on multi-source perception fusion according to claim 4 is characterized in that: The steps to reverse calculate the battery temperature are as follows: Get the flame temperature T (fla) , obtain the surface emissivity ε, Stefan-Boltzmann constant σ, and convection heat transfer coefficient hq of the electric vehicle shell, and set the temperature of the electric vehicle shell to T (sur) , construct formula B-5: Get the thermal conductivity k of the electric vehicle shell (sur) , density ρ (sur) , specific heat capacity cp (sur) , calculate the thermal diffusion coefficient a of the electric vehicle (sur) : Obtain the time ti from when the electric vehicle enters the isolation chamber to when the flame recognition model detects the occurrence of an open flame in the electric vehicle; Get the thickness h of the battery pack (bat) , calculate and predict the battery temperature T (bat) : Where erf represents the error function; Get the maximum temperature Tb of the battery pack (max) ; Compare T (bat) With Tb (max) The size of the battery pack can be used to determine whether the electric vehicle has a battery fire. If T (bat) <Tb (max) , it means that the battery pack is on fire, and the spray angle and water mist flow rate of the sprinkler heads in the bottom spray array should be adjusted; If T (bat) ≥Tb (max) , it means that the battery has not caught fire. Mark the fire coordinate point on the electric vehicle and adjust the spray position and nozzle angle of the side spray device according to the fire coordinate point.

8. The fire isolation chamber intelligent response control method based on multi-source perception fusion according to claim 7 is characterized in that: The specific steps to adjust the bottom spray array are as follows: Calculate the average battery temperature of the battery pack and the temperature gradient of each coordinate point in the battery pack; Mark the coordinate point in the battery pack where the coordinate temperature is greater than the average battery temperature and the temperature gradient is zero as the target point; Get the initial flow rate vd of the water mist from the sprinkler head in the bottom sprinkler array (0) ; Calculate the average temperature tte of the non-target point area in the battery pack; Get the temperature Te of all target points (1) ~Te (ob) ; Calculate Te (1) ~Te (ob) of and aTe; Obtain the coordinates of each sprinkler head in the bottom sprinkler array and calculate the average distance bX from each sprinkler head in the bottom sprinkler array to all target points; The coordinate points in the bottom spray array whose distance from the sprinkler head to all target points is less than bX are selected as candidate points; the number of candidate points is rn; Select rn in the alternative point (1) The point closest to the first target point is taken as point 1; Adjust the flow rate at point 1 to vd (1) : Among them, rn (1) Indicates the number of point 1, Similarly, select rn from the alternative point (ob) The point closest to the ob-th target point is taken as point ob; Adjust the flow rate at point ob to vd (ob) : Among them, rn (ob) Indicates the number of ob points, 9. A fire isolation chamber intelligent response control system based on multi-source perception fusion, applicable to the fire isolation chamber intelligent response control method based on multi-source perception fusion according to any one of claims 1 to 8, characterized in that: The system comprises: Data acquisition module: used to obtain fire images and build a flame recognition model; obtain the dimensions of the isolation chamber and the spacing between the sprinkler heads in the bottom sprinkler array to build a coordinate system; obtain the initial temperature and initial pressure, the average temperature and pressure inside the isolation chamber after the electric vehicle enters the isolation chamber, the pressure limit of the isolation chamber, and calculate the safety critical value of the water vapor concentration in the isolation chamber; Temperature monitoring module: This module is used to monitor the temperature of various areas of the electric vehicle in the isolation chamber based on the flame recognition model, analyze the temperature gradient changes in various areas of the electric vehicle, and adjust the spray position and nozzle angle of the side spray device. The flame recognition model monitors open flames on the electric vehicle, reversely infers the outer shell temperature and battery temperature of the electric vehicle based on the flame temperature, and combines the 3D thermal map of the battery pack to determine whether the electric vehicle has a battery pack fire. If so, adjust the spray angle and water mist flow rate of the sprinkler heads in the bottom spray array; If not, adjust the spray position and nozzle angle of the side spray device for a second time; Spray adjustment module: used to monitor the oxygen concentration and harmful gas concentration in the isolation chamber in real time; according to the safety critical value of water vapor concentration, adjust the water mist spray rate and spray volume of all sprinkler heads in the isolation chamber, and adjust the air intake and outlet of the isolation chamber.

Images