Tunnel Fire Source Detection Offset Distance Calculation, Adaptive Correction Method and Equipment

Abstract

The present invention relates to the technical field of tunnel fire monitoring and emergency response, and specifically relates to a method and device for calculating and adaptively correcting the offset distance of a tunnel fire ignition source detection. The adaptive correction method for the offset distance of a tunnel fire ignition source detection can correct Formula 1 or Formula 2 based on the relevant data collected when a fire occurs in the tunnel; and it will judge the validity of the relevant data collected when a fire occurs in the tunnel. If it is judged to be invalid, the correction ends. If it is judged to meet the relevant conditions, the correction continues; and for the judgment of the relevant data collected when a fire occurs in the tunnel, it will also judge whether it meets the correction conditions of Formula 1 or Formula 2; making the entire correction process more reasonable, and the corrected Formula 1 and Formula 2 more in line with the corresponding relevance, and the accuracy of calculating the offset distance of a tunnel fire ignition source using the corrected Formula 1 and Formula 2 is higher.

Description

Technical Field

[0001] The present invention relates to the technical field of tunnel fire monitoring and emergency response, and particularly to a method and device for calculating and adaptively correcting the deviation distance of a tunnel fire ignition source detection. Background Art

[0002] Tunnel fires are common and serious safety hazards in modern transportation infrastructure. The rapid detection and location of fires are of great significance for fire fighting, personnel evacuation, and safety protection. For example, the Chinese patent application with the publication number CN117131451A discloses a multi-spatial environment fire source location method and system based on AttentionLSTM, which realizes fire source location through temperature detection. However, there is usually a deviation between the position of the fire source and the position of the highest temperature recognized by the detection system. This deviation is called the fire source detection deviation distance, that is, the deviation between the actual position of the fire source and the position of the highest temperature recognized by the detection system, which is one of the technical problems that need to be solved urgently in the fire detection system. In actual engineering, distributed optical fiber temperature measurement systems can provide the temperature data distribution of the entire tunnel. However, there is still a lack of a standardized calculation method for accurately calculating the fire source position, especially the fire source detection deviation distance, based on these temperature data. Summary of the Invention

[0003] The purpose of the present invention is to overcome the deficiency in the prior art of lacking a method for calculating the fire source detection deviation distance based on temperature data, and to provide a method and device for calculating and adaptively correcting the deviation distance of a tunnel fire ignition source detection.

[0004] In a first aspect, the present invention provides a method for calculating the deviation distance of a tunnel fire ignition source detection,

[0005] including the following steps:

[0006] S1A: Obtain the heat release rate Q of the fire source and the longitudinal wind speed u under the current fire condition;

[0007] S2A: Substitute the heat release rate Q of the fire source and the longitudinal wind speed u under the current fire condition into Formula 1 to calculate and obtain the estimated detection deviation distance D of the tunnel fire ignition source 1 , and the calculation is completed;

[0008] wherein, Formula 1 is: , x 1 , x 2 , x 3 , x 4 , y, and z are all obtained by fitting the actual detection deviation distance D 0 , the heat release rate Q of the fire source, and the longitudinal wind speed u under at least two fire conditions in the historical database;

[0009] Or including the following steps:

[0010] S1’A: Obtain the heat release rate Q of the fire source, the longitudinal wind speed u, the fire source height H under the current fire condition ef , the fire source area A f , the gravitational acceleration g, the tunnel width W, the conventional tunnel ambient air density ρ 0 , the specific heat capacity c of the conventional tunnel ambient air p and the conventional tunnel ambient air temperature T 0 ;

[0011] S2’A: Substitute the heat release rate Q of the fire source, the longitudinal wind speed u, the fire source height H under the current fire condition ef , the fire source area A f , the gravitational acceleration g, the tunnel width W, the conventional tunnel ambient air density ρ 0 , the specific heat capacity c of the conventional tunnel ambient air p and the conventional tunnel ambient air temperature T 0 into Formula 2 to calculate and obtain the estimated detection offset distance D of the tunnel fire source 1 , and the calculation is completed;

[0012] Among them, Formula 2 is: ;

[0013] x 5 and n are both obtained by fitting the actual detection offset distances D 0 , the heat release rate Q of the fire source, the longitudinal wind speed u, the fire source height H ef , the fire source area A f , the gravitational acceleration g, the tunnel width W, the conventional tunnel ambient air density ρ 0 , the specific heat capacity c of the conventional tunnel ambient air p and the conventional tunnel ambient air temperature T 0 under at least two fire conditions in the historical database.

[0014] By calculating the detection offset distance of the tunnel fire source through the above Formula 1, since Formula 1 is obtained by fitting the actual detection offset distances D 0 , the heat release rate Q of the fire source and the longitudinal wind speed u of at least two historical fire data, it can more accurately reflect the correlation between the detection offset distance of the fire source and the heat release rate Q of the fire source and the longitudinal wind speed u, and thus can calculate the estimated detection offset distance D of the tunnel fire source through it 1 , and thus can more accurately judge the actual position of the fire source according to the temperature.

[0015] By calculating the detection offset distance of the tunnel fire source through the above Formula 2, since Formula 2 is obtained by fitting the actual detection offset distances D 0 , the heat release rate Q of the fire source, the longitudinal wind speed u, the fire source height Hef 、Fire source area A f 、Gravitational acceleration g, tunnel width W, conventional tunnel ambient air density ρ 0 、Conventional tunnel ambient air specific heat capacity c p and conventional tunnel ambient air temperature T 0 Obtained by fitting, so it can more accurately reflect the relationship between the detected offset distance of the fire source and the heat release rate Q of the fire source, longitudinal wind speed u, and fire source height H ef 、Fire source area A f 、Gravitational acceleration g, tunnel width W, conventional tunnel ambient air density ρ 0 、Conventional tunnel ambient air specific heat capacity c p and conventional tunnel ambient air temperature T 0 The correlation of, and then the estimated detected offset distance D of the tunnel fire source can be calculated through it 1 , and the actual position of the fire source can be judged more accurately according to the temperature

[0016] Preferably, before step S1A, the following steps are further included:

[0017] S1: Obtain the actual detected offset distance D 0 、Heat release rate Q of the fire source and longitudinal wind speed u under at least two fire conditions in the historical database;

[0018] S2: Fit all the actual detected offset distances D 0 、Heat release rate Q of the fire source and longitudinal wind speed u obtained in S1 to obtain formula 1 of the estimated detected offset distance D 1 、Heat release rate Q of the fire source and longitudinal wind speed u;

[0019] Wherein, x 1 、x 2 、x 3 、x 4 、y and z are all obtained by fitting in step S2;

[0020] Before step S1A’, the following steps are further included:

[0021] S1’: Obtain the actual detected offset distance D 0 、Heat release rate Q of the fire source, longitudinal wind speed u, fire source height H ef 、Fire source area A f 、Gravitational acceleration g, tunnel width W, conventional tunnel ambient air density ρ 0 、Conventional tunnel ambient air specific heat capacity c p and conventional tunnel ambient air temperature T 0 ;

[0022] S2’: According to the actual detected offset distance D under all fire conditions obtained in S1’ 0 , the heat release rate Q of the fire source, the longitudinal wind speed u, the fire source height H ef , the fire source area A f , the gravitational acceleration g, the tunnel width W, the conventional tunnel ambient air density ρ 0 , the specific heat capacity c of the conventional tunnel ambient air p and the conventional tunnel ambient air temperature T 0 to obtain Formula 2 by fitting; where x 5 and n are both obtained by fitting in step S2’.

[0023] Through S1 and S2, x 1 , x 2 , x 3 , x 4 , y and z values can be obtained, and these values can reflect the correlation of the actual detected offset distance D 0 , the heat release rate Q of the fire source and the longitudinal wind speed u, and then the estimated detected offset distance D of the tunnel fire source can be calculated through them 1 , and then the actual position of the fire source can be judged more accurately according to the temperature.

[0024] Through S1’ and S2’, x 5 and n values can be obtained, and these values can reflect the actual detected offset distance D 0 , the heat release rate Q of the fire source, the longitudinal wind speed u, the fire source height H ef , the fire source area A f , the gravitational acceleration g, the tunnel width W, the conventional tunnel ambient air density ρ 0 , the specific heat capacity c of the conventional tunnel ambient air p and the conventional tunnel ambient air temperature T 0 correlation, and then the estimated detected offset distance D of the tunnel fire source can be calculated through them 1 , and then the actual position of the fire source can be judged more accurately according to the temperature.

[0025] In a second aspect, the present invention provides a tunnel fire source detection offset distance calculation device, including at least one processor and a memory communicatively connected to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the tunnel fire source detection offset distance calculation method described above.

[0026] In a third aspect, the present invention provides a tunnel fire source detection offset distance adaptive correction method, which corrects Formula 1 and / or Formula 2 in the tunnel fire source detection offset distance calculation method, and the steps are as follows:

[0027] S01. Collect relevant data when a fire occurs in the tunnel and proceed to step S02;

[0028] S02. Determine whether the relevant data includes the actual detected offset distance D 0 , the heat release rate Q of the fire source, the longitudinal wind speed u, the height H of the fire source ef , the area A of the fire source f , the acceleration of gravity g, the width W of the tunnel, the density ρ of the air in the conventional tunnel environment 0 , the specific heat capacity c of the air in the conventional tunnel environment p and the temperature T of the air in the conventional tunnel environment 0 . If so, proceed to step S03; if not, proceed to step S02';

[0029] S02'. Determine whether the relevant data includes the actual detected offset distance D 0 , the heat release rate Q of the fire source and the longitudinal wind speed u. If so, proceed to step S03'; if not, the relevant data is invalid and the correction ends;

[0030] S03. Substitute the heat release rate Q of the fire source, the longitudinal wind speed u, the height H of the fire source ef , the area A of the fire source f , the acceleration of gravity g, the width W of the tunnel, the density ρ of the air in the conventional tunnel environment 0 , the specific heat capacity c of the air in the conventional tunnel environment p and the temperature T of the air in the conventional tunnel environment 0 into formula two to calculate the estimated detected offset distance D 1 , and proceed to step S04;

[0031] S03'. Substitute the heat release rate Q of the fire source and the longitudinal wind speed u into formula one to calculate the estimated detected offset distance D 1 , and proceed to step S04;

[0032] S04. Determine whether the deviation between the estimated detected offset distance D 1 and the actual detected offset distance D 0 meets the preset value. If so, proceed to step S05; if not, the relevant data is invalid and the correction ends;

[0033] S05. Based on the estimated detected offset distance D 1 and the actual detected offset distance D 0 synthesize and correct to obtain the corrected detected offset distance D 0 ', and then proceed to S06;

[0034] S06. Replace the actual detected offset distance D in the newly collected relevant data in S01 with the corrected detected offset distance D 0 ', 0Obtain the corrected relevant data, and refit the corrected relevant data together with the data in the historical database to obtain the corrected Formula 1 or Formula 2, and the correction ends.

[0035] The present invention provides a method for adaptively correcting the detection offset distance of a tunnel fire ignition source, which can correct Formula 1 or Formula 2 through the relevant data collected when a tunnel fire occurs; and will judge the validity of the relevant data collected when a tunnel fire occurs. If it is judged to be invalid, the correction ends. If it is judged to meet the relevant conditions, the correction continues; and for the judgment of the relevant data collected when a tunnel fire occurs, it will also judge whether it meets the correction conditions of Formula 1 or Formula 2; making the entire correction process more reasonable, and the corrected Formula 1 and Formula 2 more in line with the corresponding relevance, and the accuracy of calculating the detection offset distance of the tunnel fire ignition source using the corrected Formula 1 and Formula 2 is higher.

[0036] Preferably, in step S04, judge the detection offset distance D 1 and the actual detection offset distance D 0 to determine whether the deviation satisfies a preset value. The judgment formula is: |D 1 -D 0 |<0.2·D 1 .

[0037] Preferably, in step S05, the correction formula for comprehensively correcting the estimated detection offset distance D 1 and the actual detection offset distance D 0 to obtain the corrected detection offset distance D 0 ' is:

[0038] D 0 '=β·D 0 +(1-β)·D 1；

[0039] β is the attenuation weight, and β∈[0,1).

[0040] Preferably, β is 0.85-0.95.

[0041] Preferably, after step S06, it further includes updating the historical database: writing the newly collected relevant data in step S1 into the historical database, and updating Formula 1 to the corrected Formula 1 in S06, or updating Formula 2 to the corrected Formula 2 in S06. It is beneficial to the update and preservation of data.

[0042] Preferably, in steps S02' and S04, after the correction ends, return to step S01 and re-enter the relevant data when a new tunnel fire occurs.

[0043] It can continuously update Formula 1 and Formula 2 by inputting relevant data during a tunnel fire, thereby making the calculation of the detection offset distance of the tunnel fire ignition source more accurate and enabling a more accurate ignition source position to be obtained.

[0044] In a fourth aspect, the present invention provides a device for adaptively correcting the detection offset distance of a tunnel fire ignition source, including at least one processor and a memory communicatively connected to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for adaptively correcting the detection offset distance of the tunnel fire ignition source.

[0045] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0046] 1. The present invention provides a method for calculating the detection offset distance of a tunnel fire ignition source. By calculating the estimated detection offset distance D1 of the tunnel fire ignition source through the above Formula 1 or Formula 2, it is possible to more accurately determine the actual position of the ignition source based on the temperature.

[0047] 2. The present invention provides a device for calculating the detection offset distance of a tunnel fire ignition source, which can execute the method for calculating the detection offset distance of the tunnel fire ignition source.

[0048] 3. The present invention provides a method for adaptively correcting the detection offset distance of a tunnel fire ignition source, which can correct Formula 1 or Formula 2 through the relevant data collected during a tunnel fire; and will judge the effectiveness of the relevant data collected during a tunnel fire. If it is judged to be invalid, the correction ends. If it is judged to meet the relevant conditions, the correction continues; and for the judgment of the relevant data collected during a tunnel fire, it will also judge whether it meets the correction conditions of Formula 1 or Formula 2; making the entire correction process more reasonable, and the corrected Formula 1 and Formula 2 more in line with the corresponding relevance, and the accuracy of calculating the detection offset distance of the tunnel fire ignition source using the corrected Formula 1 and Formula 2 is higher.

[0049] 4. The present invention provides a device for adaptively correcting the detection offset distance of a tunnel fire ignition source, which can execute the method for adaptively correcting the detection offset distance of the tunnel fire ignition source. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a schematic flowchart of the method for adaptively correcting the detection offset distance of a tunnel fire ignition source. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0051] The present invention will be further described in detail below with reference to specific embodiments. However, this should not be construed as limiting the scope of the above subject matter of the present invention to the following embodiments. All technologies implemented based on the content of the present invention fall within the scope of the present invention.

[0052] Existing tunnel fire source detection faces the problems of lag and monitoring blind spots. Especially in the initial stage of a fire, manual monitoring cannot achieve continuous and uninterrupted observation. For this reason, the present invention proposes two innovative calculation formulas, Formula One and Formula Two, for the offset distance of fire source detection, aiming to combine the data of the distributed optical fiber temperature measurement system to realize the automatic calculation of the offset distance of fire source detection. In addition, through an incremental correction algorithm, long-term adaptive optimization of the formulas is achieved. Among them, the data acquisition of the distributed optical fiber temperature measurement system has existing mature technologies.

[0053] Embodiment 1

[0054] A method for calculating the offset distance of a tunnel fire source detection includes the following steps:

[0055] S1A: Obtain the heat release rate Q of the fire source and the longitudinal wind speed u under the current fire condition;

[0056] S2A: Substitute the heat release rate Q of the fire source and the longitudinal wind speed u under the current fire condition into Formula One to calculate and obtain the estimated detection offset distance D of the tunnel fire source 1 , and the calculation is completed;

[0057] Among them, Formula One is: , x 1 , x 2 , x 3 , x 4 , y, and z are all obtained by fitting the actual detection offset distance D 0 , the heat release rate Q of the fire source, and the longitudinal wind speed u under at least two fire conditions in the historical database;

[0058] For example, according to the actual detection offset distance D 0 , the heat release rate Q of the fire source, and the longitudinal wind speed u under all fire conditions in the historical database, x 1 = 5.62; x 2 = 0.012; x 3 = 0.00003; x 4 = 0.82; y = 1.84; z = 3.97;

[0059] The corresponding Formula One is: .

[0060] By calculating the offset distance of the tunnel fire source detection through the above Formula One, since Formula One is obtained by fitting the actual detection offset distance D 0 , the heat release rate Q of the fire source, and the longitudinal wind speed u of historical fire data, it can more accurately reflect the correlation between the offset distance of fire source detection and the heat release rate Q of the fire source and the longitudinal wind speed u, and thus can calculate the estimated detection offset distance D of the tunnel fire source through it1 , and thus can more accurately determine the actual position of the fire source according to the temperature.

[0061] Formula 1 is a fitting formula based on fire simulation data, which is simple and efficient and applicable to common tunnel fire conditions. This formula can quickly calculate the fire source detection offset distance by inputting a small number of parameters (such as the heat release rate Q of the fire source and the longitudinal wind speed u). Although its generalization ability is limited, it still has a high calculation efficiency in practical applications and can meet the needs of most conventional fire scenarios.

[0062] Optionally, before step S1A, the following steps are further included:

[0063] S1: Obtain the actual detection offset distance D 0 , the heat release rate Q of the fire source, and the longitudinal wind speed u under at least two fire conditions in the historical database; in a preferred implementation, obtain the actual detection offset distance D 0 , the heat release rate Q of the fire source, and the longitudinal wind speed u under each fire condition in the historical database, so that the data is richer and conducive to the accuracy of the fitting of Formula 1;

[0064] S2: Fit the actual detection offset distance D 0 , the heat release rate Q of the fire source, and the longitudinal wind speed u obtained in S1 to obtain the estimated detection offset distance D 1 , the heat release rate Q of the fire source, and Formula 1 of the longitudinal wind speed u; Formula 1 is: ;

[0065] where x 1 , x 2 , x 3 , x 4 , y, and z are all obtained through fitting in step S2.

[0066] Through S1 and S2, the values of x 1 , x 2 , x 3 , x 4 , y, and z can be obtained, and these values can reflect the correlation between the actual detection offset distance D 0 , the heat release rate Q of the fire source, and the longitudinal wind speed u, and thus the estimated detection offset distance D of the tunnel fire source can be calculated through them 1 , and thus can more accurately determine the actual position of the fire source according to the temperature. For example, according to the actual detection offset distance D 0 , the heat release rate Q of the fire source, and the longitudinal wind speed u under all fire conditions in the existing historical database, fit to obtain the estimated detection offset distance D 1 , the heat release rate Q of the fire source, and Formula 1 of the longitudinal wind speed u, and the obtained x 1 = 5.62; x2 = 0.012; x 3 = 0.00003; x 4 = 0.82; y = 1.84; z = 3.97; However, when the data in the historical database changes, x 1 、x 2 、x 3 、x 4 、y and the values of z may change, and a formula one that better conforms to the existing situation can be obtained. Furthermore, the calculated value of the estimated detection offset distance D of the tunnel fire source 1 is more in line with the actual situation, and thus it is possible to more accurately determine the actual position of the fire source based on the temperature.

[0067] The fitting methods of formula one include, but are not limited to, non - linear regression fitting (using the non - linear regression method and the least - squares method to determine the optimal fitting parameters to achieve the fitting of non - linear data), polynomial fitting (adopting the polynomial fitting method and solving the polynomial coefficients by minimizing the sum of squared errors to achieve the polynomial fitting of the data), and machine - learning fitting (based on the machine - learning model, inputting the data set and training to obtain the optimal fitting model to predict the output values of unseen data). Currently, formula one adopts non - linear regression fitting, and the other fitting formulas can also obtain results that meet the requirements but with different precisions.

[0068] Example 2

[0069] The calculation method for the detection offset distance of the tunnel fire source includes the following steps:

[0070] S1’A: Obtain the heat release rate Q of the fire source, the longitudinal wind speed u, the fire source height H ef 、the fire source area A f 、the gravitational acceleration g, the tunnel width W, the conventional tunnel ambient air density ρ 0 、the conventional tunnel ambient air specific heat capacity c p and the conventional tunnel ambient air temperature T 0 ;

[0071] S2’A: Substitute the heat release rate Q of the fire source, the longitudinal wind speed u, the fire source height H ef 、the fire source area A f 、the gravitational acceleration g, the tunnel width W, the conventional tunnel ambient air density ρ 0 、the conventional tunnel ambient air specific heat capacity c p and the conventional tunnel ambient air temperature T 0 into formula two to calculate and obtain the estimated detection offset distance D of the tunnel fire source 1 , and the calculation is completed;

[0072] Among them, formula two is: ;

[0073] x 5 and n are both obtained by fitting with the actual detected offset distances D 0 , heat release rate Q of the fire source, longitudinal wind speed u, fire source height H ef , fire source area A f , gravitational acceleration g, tunnel width W, conventional tunnel ambient air density ρ 0 , specific heat capacity c of the conventional tunnel ambient air p and conventional tunnel ambient air temperature T 0 under at least two fire conditions in the historical database.

[0074] For example, if x is obtained by fitting with the actual detected offset distances D 0 , heat release rate Q of the fire source, longitudinal wind speed u, fire source height H ef , fire source area A f , gravitational acceleration g, tunnel width W, conventional tunnel ambient air density ρ 0 , specific heat capacity c of the conventional tunnel ambient air p and conventional tunnel ambient air temperature T 0 under all fire conditions in the existing historical database, then x = 7.53; n = 0.4; 5 = 7.53; n = 0.4;

[0075] The corresponding formula two is: .

[0076] By calculating the detected offset distance of the tunnel fire source through the above formula two, since formula two is obtained by fitting with the actual detected offset distances D 0 , heat release rate Q of the fire source, longitudinal wind speed u, fire source height H ef , fire source area A f , gravitational acceleration g, tunnel width W, conventional tunnel ambient air density ρ 0 , specific heat capacity c of the conventional tunnel ambient air p and conventional tunnel ambient air temperature T 0 under historical fire data, it can more accurately reflect the correlation between the detected offset distance of the fire source and the heat release rate Q of the fire source, longitudinal wind speed u, fire source height H ef , fire source area A f , gravitational acceleration g, tunnel width W, conventional tunnel ambient air density ρ 0 , specific heat capacity c of the conventional tunnel ambient air p and conventional tunnel ambient air temperature T 0 . Furthermore, it can calculate the estimated detected offset distance D of the tunnel fire source through it 1 , and can more accurately judge the actual position of the fire source according to the temperature.

[0077] Formula 2: It is a calculation formula for the offset distance established through physical derivation (derived by dimensional analysis method), comprehensively considering the fire source height H ef , the fire source area A f , tunnel air parameters (such as air density ρ 0 , specific heat capacity c p , temperature) and various physical factors such as longitudinal wind speed. This formula not only meets the requirements of dimensional balance, but also has clear physical meaning and stronger adaptability, and can be effectively applied to complex fire scenarios.

[0078] Optionally, before step S1A’, it further includes the step:

[0079] S1’: Obtain the actually measured offset distance D 0 , heat release rate Q of the fire source, longitudinal wind speed u, fire source height H ef , fire source area A f , gravitational acceleration g, tunnel width W, conventional tunnel ambient air density ρ 0 , conventional tunnel ambient air specific heat capacity c p and conventional tunnel ambient air temperature T 0 in at least two fire conditions in the historical database; in a preferred implementation, obtain the actually measured offset distance D 0 , heat release rate Q of the fire source, longitudinal wind speed u, fire source height H ef , fire source area A f , gravitational acceleration g, tunnel width W, conventional tunnel ambient air density ρ 0 , conventional tunnel ambient air specific heat capacity c p and conventional tunnel ambient air temperature T 0 in each fire condition in the historical database, so that the data is richer and is conducive to the accuracy of the fitting of Formula 2;

[0080] S2’: According to the actually measured offset distance D 0 , heat release rate Q of the fire source, longitudinal wind speed u, fire source height H ef , fire source area A f , gravitational acceleration g, tunnel width W, conventional tunnel ambient air density ρ 0 , conventional tunnel ambient air specific heat capacity c p and conventional tunnel ambient air temperature T 0 obtained in S1’ for fitting to obtain Formula 2; Formula 2 is:

[0081] ;

[0082] wherein, x 5 and n are both obtained through fitting in step S2’.

[0083] The values of x can be obtained through S1' and S2', and these values can reflect the actual detected offset distance D 5 and the value of n, and these values can reflect the actual detected offset distance D 0 , the heat release rate Q of the fire source, the longitudinal wind speed u, the fire source height H ef , the fire source area A f , the gravitational acceleration g, the tunnel width W, the conventional tunnel ambient air density ρ 0 , the specific heat capacity c of the conventional tunnel ambient air p and the conventional tunnel ambient air temperature T 0 The correlation of, and then the estimated detection offset distance D of the tunnel fire source can be calculated through it 1 , and then the actual position of the fire source can be judged more accurately according to the temperature

[0084] For example: The values of x can be obtained through S1' and S2' 5 =7.53; n = 0.4; that is, corresponding to Formula Two: . However, when the data in the historical database changes, the values of x 5 and n may change, and a more suitable Formula Two for the current situation can be obtained, and then the calculation of the estimated detection offset distance D of the tunnel fire source 1 is more in line with the actual situation, and then the actual position of the fire source can be judged more accurately according to the temperature

[0085] Embodiment 3

[0086] A tunnel fire source detection offset distance calculation device includes at least one processor and a memory communicatively connected to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the tunnel fire source detection offset distance calculation method described in Embodiment 1 or Embodiment 2

[0087] Embodiment 4

[0088] As Figure 1 shown, for the tunnel fire source detection offset distance adaptive correction method, the Formula One in the tunnel fire source detection offset distance calculation method described in Embodiment 1 and / or the Formula Two in the tunnel fire source detection offset distance calculation method described in Embodiment 2 are corrected, and the steps are as follows:

[0089] S01. Collect relevant data when a fire occurs in the tunnel, and enter step S02;

[0090] S02. Judge whether the relevant data includes the actual detected offset distance D 0 , the heat release rate Q of the fire source, the longitudinal wind speed u, the fire source height Hef 、Fire source area A f 、Gravitational acceleration g, tunnel width W, conventional tunnel ambient air density ρ 0 、Conventional tunnel ambient air specific heat capacity c p And conventional tunnel ambient air temperature T 0 , If so, go to step S03; if not, go to step S02’;

[0091] S02’: Determine whether the relevant data includes the actual detected offset distance D 0 、Fire source heat release rate Q and longitudinal wind speed u. If so, go to step S03’; if not, the relevant data is invalid and the correction ends;

[0092] Optionally, in step S02’, the relevant data is invalid and the correction ends. Return to step S01, re-enter the relevant data when a fire occurs in the tunnel, and continue the correction. By continuously inputting the relevant data when a fire occurs in the tunnel, formulas one and two can be updated, thereby making the calculation of the detected offset distance of the tunnel fire source more accurate and enabling the obtained fire source position to be more accurate.

[0093] S03: Substitute the fire source heat release rate Q, longitudinal wind speed u, fire source height H ef 、Fire source area A f 、Gravitational acceleration g, tunnel width W, conventional tunnel ambient air density ρ 0 、Conventional tunnel ambient air specific heat capacity c p And conventional tunnel ambient air temperature T 0 Into formula two to calculate the estimated detected offset distance D 1 , Go to step S04;

[0094] S03’: Substitute the fire source heat release rate Q and longitudinal wind speed u into formula one to calculate the estimated detected offset distance D 1 , Go to step S04;

[0095] S04: Determine whether the deviation between the estimated detected offset distance D 1 And the actual detected offset distance D 0 Meets the preset value. If so, go to step S05; if not, the relevant data is invalid and the correction ends;

[0096] Optionally, in step S04, the relevant data is invalid and the correction ends. Return to step S01, re-enter the relevant data when a fire occurs in the tunnel, and continue the correction. By continuously inputting the relevant data when a fire occurs in the tunnel, formulas one and two can be updated, thereby making the calculation of the detected offset distance of the tunnel fire source more accurate and enabling the obtained fire source position to be more accurate.

[0097] In step S04, the detected offset distance D is judged according to the judgment formula 1 and the actual detected offset distance D 0 to determine whether the deviation meets a preset value. The judgment formula is: |D 1 - D 0 | < 0.2·D 1 . That is, the deviation between the newly added measured (simulated) data and the result of the prediction formula does not exceed 20%.

[0098] S05. According to the estimated detected offset distance D 1 and the actual detected offset distance D 0 a corrected detected offset distance D 0 ' is obtained through comprehensive correction, and then it enters S06;

[0099] In step S05, according to the estimated detected offset distance D 1 and the actual detected offset distance D 0 the correction formula for obtaining the corrected detected offset distance D 0 ' is:

[0100] D 0 ' = β·D 0 + (1 - β)·D 1 ;

[0101] β is the attenuation weight, and β ∈ [0, 1).

[0102] As a better choice, β is 0.85 - 0.95. In particular, β is 0.9. This correction method refers to the idea of the exponentially weighted moving average method. The existing formula is obtained based on a large number of concentrated tests and is more stable and more reliable relative to the newly added data. Therefore, this method takes into account both the value fitted by the existing formula and the newly added data, and weakens the influence of the newly added data. This can enable the newly added valid data to correct the existing formula, but the influence is limited, and the stability of the formula will not fluctuate greatly due to the newly added small amount of data.

[0103] S06. Replace the actual detected offset distance D 0 in the newly collected relevant data in S01 with the corrected detected offset distance D 0 to obtain the corrected relevant data, and refit the corrected relevant data and the data in the historical database together to obtain the corrected formula one or formula two, and the correction ends.

[0104] After step S06, it also includes updating the historical database: writing the newly collected relevant data in step S1 into the historical database, and updating formula one to the corrected formula one in S06, or updating formula two to the corrected formula two in S06, which is beneficial to data update and storage.

[0105] This embodiment is an adaptive feedback correction mechanism for Formula 1 and Formula 2: using the real-time temperature field data obtained by the distributed optical fiber temperature measurement system, combining the results of the two calculation formulas, and adopting an incremental regression algorithm to gradually correct the parameters in the formulas. Specifically, when new working condition data appears, the incremental regression algorithm can dynamically adjust the formula coefficients to better adapt to the new data. This adaptive optimization mechanism not only improves the long-term reliability of the formulas in practical applications but also effectively overcomes the lag caused by manual judgment, thereby realizing a more timely and accurate calculation of the fire source detection offset distance. Through this method, Formula 1 and Formula 2 can be continuously optimized under variable fire conditions to ensure effective detection results in various situations.

[0106] This embodiment provides a method for adaptively correcting the fire source detection offset distance in a tunnel fire, which can correct Formula 1 or Formula 2 through the relevant data collected during a tunnel fire; and will judge the effectiveness of the relevant data collected during a tunnel fire. If it is judged to be invalid, the correction ends. If it is judged to meet the relevant conditions, the correction continues; and for the judgment of the relevant data collected during a tunnel fire, it will also judge whether it meets the correction conditions of Formula 1 or Formula 2; making the entire correction process more reasonable, and the corrected Formula 1 and Formula 2 more in line with the corresponding relevance, and the accuracy of calculating the fire source detection offset distance in a tunnel fire using the corrected Formula 1 and Formula 2 is higher.

[0107] Embodiment 5

[0108] An apparatus for adaptively correcting the fire source detection offset distance in a tunnel fire includes at least one processor and a memory communicatively connected to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method for adaptively correcting the fire source detection offset distance in a tunnel fire described in Embodiment 4.

[0109] In the above Embodiments 1 - 5, D 0 is the actual detected offset distance, with the unit of m; D 1 is the estimated detected offset distance, with the unit of m; D 0 ' is the corrected detected offset distance, with the unit of m; H ef is the fire source height, with the unit of m; u is the longitudinal wind speed, with the unit of m / s; Q is the fire source heat release rate; A f is the fire source area, with the unit of m 2 ; g is the acceleration due to gravity, with the unit of m / s 2 ; W is the tunnel width, with the unit of m; ρ 0 is the conventional tunnel ambient air density, with the unit of kg / m 3 ; cp is the specific heat capacity of air in the conventional tunnel environment, with the unit of J / kg / ℃; T 0 is the air temperature in the conventional tunnel environment, with the unit of ℃.

[0110] Formula 1 in the above-mentioned Embodiment 1 and Formula 2 in Embodiment 2 fill the blank in the prior art of lacking a standardized calculation formula for fire source detection. Formula 1 focuses on simplifying calculations and is suitable for quick response, while Formula 2 is based on physical derivation and has good generalization ability and physical meaning. The adaptive correction mechanism in the above-mentioned Embodiment 4: By introducing an incremental regression algorithm, without changing the original formula structure, the parameters of the formula are continuously optimized according to new working condition data, so as to improve the long-term adaptability and accuracy of the formula. This method can not only improve the calculation accuracy of the offset distance of fire source detection, but also avoid the lag of manual judgment.

[0111] The invention can realize the automation and high efficiency of fire source detection in complex fire scenarios, greatly improve the emergency response ability of tunnel fires, and fill the deficiencies of the prior art.

[0112] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for calculating the offset distance of a tunnel fire source detection, characterized in that: The following steps are involved: S1A: Obtain the fire source heat release rate Q and longitudinal wind speed under the current fire conditions ; S2A: The heat release rate Q and longitudinal wind speed of the fire source under the current fire condition Substitute into formula 1 to obtain the estimated detection offset distance D1 of the tunnel fire source, and the calculation is completed; Among them, formula 1 is: , , , , , and z are obtained by the actual detection offset distance D0, fire source heat release rate Q and longitudinal wind speed under at least two fire conditions in the historical database. Fitting obtained; Or include the following steps: S1'A: Obtain the heat release rate Q and longitudinal wind speed of the fire source under the current fire conditions , Fire source height , Fire source area , Gravitational acceleration , Tunnel width , conventional tunnel ambient air density Specific heat capacity of ambient air in conventional tunnels and conventional tunnel ambient air temperature ; S2'A: The heat release rate Q and longitudinal wind speed of the fire source under the current fire condition , Fire source height , Fire source area , Gravitational acceleration , Tunnel width , conventional tunnel ambient air density Specific heat capacity of ambient air in conventional tunnels and conventional tunnel ambient air temperature Substitute into formula 2 to obtain the estimated detection offset distance D1 of the tunnel fire source, and the calculation is completed; Among them, formula 2 is: ; and n are obtained by the actual detection offset distance D0, fire source heat release rate Q and longitudinal wind speed under at least two fire conditions in the historical database. , Fire source height , Fire source area , Gravitational acceleration , Tunnel width , conventional tunnel ambient air density Specific heat capacity of ambient air in conventional tunnels and conventional tunnel ambient air temperature Fitting obtained.

2. According to the method for calculating the offset distance of tunnel fire source detection in claim 1, it is characterized in that: Before step S1A, the method further includes the following steps: S1: Obtain the actual detection offset distance D0, fire source heat release rate Q and longitudinal wind speed under at least two fire conditions in the historical database ; S2: The actual detection offset distance D0, fire source heat release rate Q and longitudinal wind speed under all fire conditions obtained in S1 are Fitting is performed to obtain the estimated detection offset distance D1, fire source heat release rate Q and longitudinal wind speed Formula 1: in, , , , , and z are obtained by fitting in step S2; Before step S1A', the method further comprises the following steps: S1': Obtain the actual detection offset distance D0, fire source heat release rate Q and longitudinal wind speed under at least two fire conditions in the historical database , Fire source height , Fire source area , Gravitational acceleration , Tunnel width , conventional tunnel ambient air density Specific heat capacity of ambient air in conventional tunnels and conventional tunnel ambient air temperature ; S2': Based on the actual detection offset distance D0, fire source heat release rate Q and longitudinal wind speed under all fire conditions obtained in S1' , Fire source height , Fire source area , Gravitational acceleration , Tunnel width , conventional tunnel ambient air density Specific heat capacity of ambient air in conventional tunnels and conventional tunnel ambient air temperature Fitting is performed to obtain formula 2; where, and n are obtained by fitting in step S2'.

3. A tunnel fire source detection offset distance calculation device, characterized in that: It includes at least one processor and a memory that is communicatively connected to the at least one processor; the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the tunnel fire source detection offset distance calculation method described in claim 1 or 2.

4. A tunnel fire source detection offset distance adaptive correction method, characterized in that: The steps of modifying Formula 1 and / or Formula 2 in the method for calculating the offset distance of tunnel fire source detection described in claim 1 or 2 are as follows: S01, collecting relevant data when a fire occurs in a tunnel, and proceeding to step S02; S02. Determine whether the relevant data includes the actual detection offset distance D0, the fire source heat release rate Q, and the longitudinal wind speed , Fire source height , Fire source area , Gravitational acceleration , Tunnel width , conventional tunnel ambient air density Specific heat capacity of ambient air in conventional tunnels and conventional tunnel ambient air temperature If yes, go to step S03; if no, go to step S02'; S02', determine whether the relevant data includes the actual detection offset distance D0, the fire source heat release rate Q and the longitudinal wind speed If yes, go to step S03'; if no, the relevant data is invalid and the correction ends; S03, the fire source heat release rate Q, longitudinal wind speed , Fire source height , Fire source area , Gravitational acceleration , Tunnel width , conventional tunnel ambient air density Specific heat capacity of ambient air in conventional tunnels and conventional tunnel ambient air temperature Substitute into formula 2 to calculate the estimated detection offset distance D1, and proceed to step S04; S03', the fire source heat release rate Q and the longitudinal wind speed Substitute into formula 1 to calculate the estimated detection offset distance D1, and proceed to step S04; S04, judging whether the deviation between the estimated detection offset distance D1 and the actual detection offset distance D0 meets the preset value, if so, proceeding to step S05; if not, the relevant data is invalid and the correction ends; S05, comprehensively correcting the estimated detection offset distance D1 and the actual detection offset distance D0 to obtain a corrected detection offset distance D0', and then proceeding to S06; S06, replacing the actual detection offset distance D0 in the newly collected relevant data in S01 with the corrected detection offset distance D0' to obtain corrected relevant data, refitting the corrected relevant data with the data in the historical database to obtain corrected formula 1 or formula 2, and the correction is completed.

5. The tunnel fire source detection offset distance adaptive correction method according to claim 4 is characterized in that: In step S04, it is determined whether the deviation between the estimated detection offset distance D1 and the actual detection offset distance D0 meets a preset value according to a judgment formula, and the judgment formula is: |D1-D0|<0.2·D1.

6. The tunnel fire source detection offset distance adaptive correction method according to claim 4 is characterized in that: In step S05, the correction formula of the corrected detection offset distance D0' is obtained by comprehensive correction based on the estimated detection offset distance D1 and the actual detection offset distance D0: D0'=β·D0+(1-β)·D1; β is the attenuation weight, β∈[0,1).

7. The tunnel fire source detection offset distance adaptive correction method according to claim 6 is characterized in that: β is 0.85-0.

95.

8. The tunnel fire source detection offset distance adaptive correction method according to any one of claims 4 to 7, characterized in that: After step S06, the process also includes updating the historical database: writing the relevant data newly collected in step S1 into the historical database, and updating formula 1 to the corrected formula 1 in step S06, or updating formula 2 to the corrected formula 2 in step S06.

9. The tunnel fire source detection offset distance adaptive correction method according to any one of claims 4 to 7, characterized in that: In step S02' and step S04, after the correction is completed, the process returns to step S01 and re-inputs the relevant data when a new fire occurs in the tunnel.

10. A tunnel fire source detection offset distance adaptive correction device, characterized in that: comprising at least one processor, and a memory communicatively connected to the at least one processor; The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the tunnel fire source detection offset distance adaptive correction method according to any one of claims 4 to 9.

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