Double-lane road traffic tunnel disaster analysis method and system

Abstract

The invention discloses a two-lane road traffic tunnel disaster analysis method and system, and is applied to the technical field of intelligent disaster prevention, and the method comprises the steps: obtaining the position and temperature data of a known fire source when a fire disaster occurs in a target tunnel; inputting the plurality of temperature data into a single fire source temperature model to calculate a plurality of first vault highest temperatures, and judging whether an unknown fire source exists or not; inputting the plurality of temperature data and the fire source distance into a double-fire-source temperature model to calculate a plurality of second vault highest temperature groups; and selecting the fire source distance corresponding to the second vault highest temperature group with the minimum standard deviation as a predicted fire source distance, and calibrating the position of an unknown fire source. According to the technical scheme, the fire spreading condition can be judged under the condition of only depending on the temperature sensor, so that the possible risk of the fire point and the spreading direction of the fire point are determined, and powerful support is provided for subsequent fire extinguishing operation.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent disaster prevention, and particularly relates to a method and system for disaster analysis of a two-lane highway traffic tunnel. Background Art

[0002] Due to the long and narrow and enclosed space in a highway tunnel, once a fire occurs in the tunnel, the fire is very likely to spread rapidly longitudinally along the tunnel. However, after a vehicle catches fire in the tunnel, as the flame and smoke rise, the camera probes arranged in the tunnel will lose the ability to detect the ignition point; the unknown state of the ignition point and the igniting object will have a great impact on the subsequent fire extinguishing operation. Therefore, a solution that can quickly and conveniently detect the fire source in a highway tunnel is needed.

[0003] In the prior art, Chinese Patent with application number 202410334910.7 discloses a method for locating a fire source in a tunnel based on binocular vision. The technical field to which it belongs is the field of fire source location, including: installing binocular cameras inside the tunnel, performing visual alignment on the binocular cameras based on the tunnel environment and then taking pictures to obtain tunnel image data; performing image correction and normalization processing on the tunnel image data to obtain a processed data set; constructing a convolutional neural network model to obtain fire source feature points; mapping the fire source feature points to a three-dimensional coordinate system based on the parameters of the binocular cameras to obtain the coordinates of the fire source of the fire. However, obviously, it is difficult to locate the fire point under the interference of smoke. Summary of the Invention

[0004] In order to at least overcome the above deficiencies in the prior art, the purpose of the present application is to provide a method and system for disaster analysis of a two-lane highway traffic tunnel.

[0005] In a first aspect, the present application provides a method for disaster analysis of a two-lane highway traffic tunnel, including: When a fire disaster occurs in a target tunnel, obtaining the position of a known fire source and the temperature data detected by a plurality of temperature sensors arranged longitudinally in the tunnel; Inputting the plurality of temperature data into a preset single-fire-source temperature model to calculate a plurality of first highest vault temperatures, and when the standard deviation of the plurality of first highest vault temperatures is greater than a preset value, determining that there is an unknown fire source; each of the first highest vault temperatures corresponds to one temperature data; Randomly selecting a plurality of possible fire source distances, and inputting the plurality of temperature data and the fire source distances into a preset double-fire-source temperature model to calculate a plurality of second highest vault temperature groups; each of the second highest vault temperature groups corresponds to one fire source distance, and each of the second highest vault temperatures in the second highest vault temperature group corresponds to one temperature data; Calculate the standard deviation of the maximum temperatures of the second vaults in each of the second vault maximum temperature groups, and select the fire source distance corresponding to the second vault maximum temperature group with the smallest standard deviation as the predicted fire source distance; Calibrate the position of the unknown fire source based on the predicted fire source distance and the position of the known fire source.

[0006] Further, both the single fire source temperature model and the double fire source temperature model adopt a double exponential fitting model: ; ; where T x is the temperature data at coordinate x, T0 is the temperature data at the reference point x0, T max is the maximum vault temperature, h is the tunnel height, and A1, A2, t1, and t2 are the first parameters to be fitted.

[0007] Further, the generation of the single fire source temperature model includes: Obtain the tunnel parameters and environmental parameters of the target tunnel, and construct a simulation model based on the tunnel parameters; Assign values to the simulation model through the environmental parameters, and arrange fire starting points in the simulation model to perform simulation calculations to obtain simulation temperature data at different positions; Fit the double exponential fitting model through the simulation temperature data to obtain the first parameters to be fitted.

[0008] Further, the generation of the double fire source temperature model includes converting the first parameters to be fitted into a function with the fire source distance as the independent variable according to the following formula: ; ; ; ; where B1, B2, B,3, B4, C1, C2, C3, C4, C5, and C6 are the second parameters to be fitted, S is the fire source distance, and D is the fire source size; Obtain the tunnel parameters and environmental parameters of the target tunnel, and construct a simulation model based on the tunnel parameters; Assign values to the simulation model through the environmental parameters, and arrange two fire starting points in the simulation model to perform simulation calculations to obtain simulation temperature data at different positions under different fire source distances; Fit the double exponential fitting model after converting the fitting parameters through the simulation temperature data to obtain the second parameters to be fitted.

[0009] Further, calibrating the position of the unknown fire source according to the predicted fire source distance and the position of the known fire source includes: Calculating the average value of all the second vault maximum temperatures in the selected maximum temperature group as the predicted maximum temperature; the selected maximum temperature group is the second vault maximum temperature group corresponding to the predicted fire source distance; Taking the predicted maximum temperature as T max and T x simultaneously, and solving for the coordinate x corresponding to T x as the center point coordinate; the center point coordinate is the center point between the known fire source and the unknown fire source; Calibrating the position of the unknown fire source according to the center point coordinate and the predicted fire source distance.

[0010] In a second aspect, the present application also provides a dual-lane highway traffic tunnel disaster analysis system, including: An acquisition unit, configured to acquire the position of the known fire source and the temperature data detected by a plurality of temperature sensors arranged longitudinally in the tunnel when a fire disaster occurs in the target tunnel; A calculation unit, configured to input the plurality of temperature data into a preset single-fire source temperature model to calculate a plurality of first vault maximum temperatures, and determine that there is an unknown fire source when the standard deviation of the plurality of first vault maximum temperatures is greater than a preset value; each of the first vault maximum temperatures corresponds to a temperature data; A random unit, configured to randomly select a plurality of possible fire source distances, and input the plurality of temperature data and the fire source distances into a preset dual-fire source temperature model to calculate a plurality of second vault maximum temperature groups; each of the second vault maximum temperature groups corresponds to a fire source distance, and each second vault maximum temperature in the second vault maximum temperature group corresponds to a temperature data; A calculation unit, configured to calculate the standard deviation of the second vault maximum temperatures in each of the second vault maximum temperature groups, and select the fire source distance corresponding to the second vault maximum temperature group with the smallest standard deviation as the predicted fire source distance; A calibration unit, configured to calibrate the position of the unknown fire source according to the predicted fire source distance and the position of the known fire source.

[0011] In a possible implementation manner, both the single-fire source temperature model and the dual-fire source temperature model adopt a double-exponential fitting model: ; ; wherein, T x is the temperature data at the coordinate x, T0 is the temperature data at the reference point x0, T maxis the highest temperature at the vault, h is the tunnel height, and A1, A2, t1, and t2 are the first parameters to be fitted.

[0012] Further, it further includes a first fitting unit configured to generate the single-fire source temperature model; The first fitting unit is further configured to: Obtain the tunnel parameters and environmental parameters of the target tunnel, and construct a simulation model based on the tunnel parameters; Assign values to the simulation model through the environmental parameters, and arrange ignition points in the simulation model to perform simulation calculations to obtain simulation temperature data at different positions; Obtain the first parameters to be fitted by fitting the double-exponential fitting model with the simulation temperature data.

[0013] Further, it further includes a second fitting unit configured to generate the double-fire source temperature model; The second fitting unit is further configured to convert the first parameters to be fitted into a function with the fire source distance as the independent variable according to the following formula: ; ; ; ; In the formula, B1, B2, B3, B4, C1, C2, C3, C4, C5, and C6 are the second parameters to be fitted, S is the fire source distance, and D is the fire source size; Obtain the tunnel parameters and environmental parameters of the target tunnel, and construct a simulation model based on the tunnel parameters; Assign values to the simulation model through the environmental parameters, and arrange two ignition points in the simulation model to perform simulation calculations to obtain simulation temperature data at different positions under different fire source distances; Obtain the second parameters to be fitted by fitting the double-exponential fitting model after converting the fitting parameters with the simulation temperature data.

[0014] Further, the calibration unit is further configured to: Calculate the average value of all the second highest vault temperatures in the selected highest temperature group as the predicted highest temperature; the selected highest temperature group is the second highest vault temperature group corresponding to the predicted fire source distance; Simultaneously use the predicted highest temperature as T max and T x , and solve for the coordinate x corresponding to T x as the center point coordinate; the center point coordinate is the center point between the known fire source and the unknown fire source; Calibrate the position of the unknown fire source according to the coordinates of the central point and the predicted distance to the fire source.

[0015] Compared with the prior art, the present invention has the following advantages and beneficial effects: A method and system for analyzing disasters in a two-lane highway traffic tunnel according to the present invention can, through the above technical solution, judge the spread of a fire only relying on temperature sensors, so as to clarify the possible risks of the fire point and the spread direction of the fire point, thereby providing strong support for subsequent fire extinguishing operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, form a part of this application, and do not constitute a limitation to the embodiments of the present invention. In the drawings: Figure 1 It is a schematic diagram of the method steps of the embodiment of this application; Figure 2 It is a schematic diagram of the simulation model of the embodiment of this application; Figure 3 It is a schematic diagram of the fitting curve of the double-fire source temperature model of the embodiment of this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. It should be understood that the drawings in this application are only for the purpose of illustration and description, and are not used to limit the protection scope of this application. In addition, it should be understood that the schematic drawings are not drawn to actual scale. The flowcharts used in this application illustrate the operations implemented according to some embodiments of the embodiments of this application. It should be understood that the operations in the flowchart may not be implemented in sequence, and steps without logical context may be reversed or implemented simultaneously. In addition, those skilled in the art can add one or more other operations to the flowchart or remove one or more operations from the flowchart under the guidance of the content of this application.

[0018] In addition, the described embodiments are only a part of the embodiments of this application, rather than all of the embodiments. The components of the embodiments of this application usually described and illustrated in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the drawings is not intended to limit the scope of this application that is required to be protected, but only represents the selected embodiments of this application. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative efforts belong to the protection scope of this application.

[0019] Please refer to Figure 1, which is a schematic flowchart of a method for disaster analysis of a two-lane highway traffic tunnel provided by an embodiment of the present invention. Further, the method for disaster analysis of a two-lane highway traffic tunnel may specifically include the contents described in the following steps S1 to S5.

[0020] S1: When a fire disaster occurs in the target tunnel, obtain the position of the known fire source and the temperature data detected by a plurality of temperature sensors arranged longitudinally in the tunnel. S2: Input the plurality of temperature data into a preset single-fire-source temperature model to calculate a plurality of first maximum vault temperatures, and when the standard deviation of the plurality of first maximum vault temperatures is greater than a preset value, determine that there is an unknown fire source; each of the first maximum vault temperatures corresponds to a temperature data. S3: Randomly select a plurality of possible fire source distances, and input the plurality of temperature data and the fire source distances into a preset double-fire-source temperature model to calculate a plurality of second maximum vault temperature groups; each of the second maximum vault temperature groups corresponds to a fire source distance, and each of the second maximum vault temperatures in the second maximum vault temperature group corresponds to a temperature data. S4: Calculate the standard deviation of the second maximum vault temperatures in each of the second maximum vault temperature groups, and select the fire source distance corresponding to the second maximum vault temperature group with the smallest standard deviation as the predicted fire source distance. S5: Calibrate the position of the unknown fire source according to the predicted fire source distance and the position of the known fire source.

[0021] When the embodiment of the present application is implemented, when a fire occurs in the target tunnel, generally, the fire is caused by vehicle ignition, such as vehicle spontaneous combustion, traffic accidents, etc. When the combustion generates smoke and begins to spread in the tunnel, the temperature sensors in the tunnel will detect an increase in temperature, and at this time, the fire point positioning can be started. It should be understood that the temperature sensors in the tunnel are generally arranged at the vault position of the tunnel and are arranged at intervals along the longitudinal direction of the tunnel. In the initial stage of a fire, it is generally a single-point fire, and its fire source can be determined by means such as a camera, that is, a known fire source.

[0022] In the embodiment of the present application, the highest temperature that may occur at the tunnel vault in the case of a single ignition source can be calculated through a preset single-ignition-source temperature model. Generally speaking, the position corresponding to the highest temperature is the position of the single ignition source. If it is not a single ignition source at this time, the highest temperatures at the vault calculated by different temperature sensors will be different. The reason is that the environment inside the tunnel is relatively airtight and the total amount of oxygen is relatively limited. Therefore, in the case of a single ignition source, the combustion rate and flame height will both increase significantly, resulting in the temperature at the vault of the single-ignition-source tunnel being much higher than that in the multi-ignition-source state. So when the actual situation is not a single ignition source, there will be a large difference in the first highest temperature at the vault calculated by the single-ignition-source temperature model from the temperature data detected at different positions. Therefore, in the embodiment of the present application, the standard deviation of multiple first highest temperatures at the vault can be used to evaluate the dispersion of these first highest temperatures at the vault. Furthermore, when the data is relatively discrete, it indicates that the result calculated by the single-ignition-source temperature model is no longer accurate, and the actual situation is no longer a single ignition source at this time.

[0023] In the embodiment of the present application, in the case of a second ignition source, multiple possible distances between the ignition sources need to be randomly selected first. Here, the distance between the ignition sources is the distance between the center points of the known ignition source and the possible unknown ignition source; generally, it is selected according to the possible vehicle conditions. At this time, multiple working conditions need to be formed, and each working condition corresponds to a distance between the ignition sources. The highest temperature at the vault is calculated for each working condition through multiple temperature data and a double-ignition-source temperature model, and multiple second highest temperatures at the vault will be formed. Each second highest temperature at the vault corresponds to a distance between the ignition sources and a temperature data; the second highest temperatures at the vault corresponding to the same distance between the ignition sources form a set, which is the second highest temperature group at the vault. At this time, the standard deviation within each second highest temperature group at the vault is calculated. The distance between the ignition sources corresponding to the second highest temperature group with the smallest standard deviation is the predicted distance between the ignition sources closest to the actual situation. Based on this predicted distance between the ignition sources, the position of the unknown ignition source can be accurately estimated. The embodiment of the present application can estimate the position of the unknown ignition source only through the temperature data detected by the temperature sensor, providing a basis for subsequent fire extinguishing operations. The fire extinguishing operations can determine the working mode of the fire extinguishing sprinkler equipment in the tunnel according to the positions of all the ignition sources, effectively utilizing the limited on-site fire extinguishing resources. It can be judged from the position of the ignition source what kind of vehicle and goods are on fire, and then foam and other fire extinguishing agents can be sprayed at the correct position.

[0024] In a possible implementation manner, both the single-ignition-source temperature model and the double-ignition-source temperature model adopt a double-exponential fitting model: ; ; where T x is the temperature data at coordinate x, T0 is the temperature data at the reference point x0, T maxis the maximum temperature of the dome, h is the tunnel height, A1, A2, t1 and t2 are the first parameters to be fitted.

[0025] When the embodiment of the present application is implemented, both the single fire source temperature model and the dual fire source temperature model are fitted using a double exponential fitting model. It should be understood that both the single fire source temperature model and the dual fire source temperature model need to be fitted when the tunnel is in operation, so as to be prepared for use in various fire conditions. For example, when a fire occurs in a tunnel, a plurality of temperature sensors are arranged in the tunnel at a longitudinal interval of 5m. When a fire occurs, 10 temperature sensors detect temperature changes, and the temperature data detected are T1, T2, T3...T10, and the coordinates corresponding to the temperature sensors are x1, x2, x3...x10; at this time, the temperature sensor whose temperature has not changed is selected as the reference point, and the acquired data is input into the above model, and the maximum temperature of the arch corresponding to different temperature data can be obtained. For the single fire source temperature model, the output is the maximum temperature of the first arch, and for the dual fire source temperature model, the output is the maximum temperature of the second arch.

[0026] In one possible implementation, generating the single fire source temperature model includes: Acquiring tunnel parameters and environmental parameters of the target tunnel, and constructing a simulation model according to the tunnel parameters; Assigning values to the simulation model using the environmental parameters, and arranging fire points in the simulation model to perform simulation calculations to obtain simulation temperature data at different locations; The first parameter to be fitted is obtained by fitting the double exponential fitting model using the simulated temperature data.

[0027] When the embodiment of the present application is implemented, when the construction of the target tunnel is completed and the operation begins, it is necessary to first build a simulation model of the corresponding target tunnel. For its relevant arrangement, please refer to Figure 2 The dimensions of the simulation model must match the tunnel parameters, which include the shape and dimensions of the tunnel section and the tunnel's orientation. The simulation model is then assigned values using environmental parameters, which include atmospheric pressure, air density, and portal boundary conditions. By performing simulation calculations on the simulation model, we can obtain the maximum vault temperature under different working conditions, the temperatures detected by sensors at different locations, and the sensor placement. This allows us to fit the aforementioned double exponential fitting model, calculate the first parameter to be fitted, and thus form a single fire source temperature model.

[0028] In one possible implementation, generating the dual-fire source temperature model includes converting the first parameter to be fitted into a function whose independent variable is the fire source distance according to the following formula: ; ; ; ; In the formula, B1, B2, B3, B4, C1, C2, C3, C4, C5 and C6 are the second parameters to be fitted, S is the distance from the fire source, and D is the size of the fire source; Obtain the tunnel parameters and environmental parameters of the target tunnel, and construct a simulation model according to the tunnel parameters; Assign values to the simulation model through the environmental parameters, and arrange two fire points in the simulation model to perform simulation calculations to obtain simulation temperature data at different positions under different fire source distances; Perform fitting on the double-exponential fitting model after converting the fitting parameters through the simulation temperature data to obtain the second parameters to be fitted.

[0029] When the embodiment of the present application is implemented, the difference between the double-fire-source temperature model and the single-fire-source temperature model is that the distance between the two fire sources needs to be considered. Here, in the embodiment of the present application, the first parameters to be fitted are all converted into functions with the fire source distance as the independent variable. Although this will increase the parameters to be fitted, it will be closer to the situation of double-fire-source combustion. Similar to the fitting of the single-fire-source temperature model, the same simulation model can be used for calculation, and two fire points are set in the tunnel for simulation. The calculated highest temperature data at the vault can be used for the parameter fitting calculation of the double-exponential fitting model to generate the second parameters to be fitted and complete the fitting.

[0030] For example, when performing simulation calculations, two identical fire sources are used, the fire source power is 5 MW, the fire source is simplified into a rectangular obstacle of 4 m×2 m×1.5 m, the center position of the double-fire-source connection line is located in the middle of the tunnel, and the fire source distance is a variable distance, which is set according to different working conditions. The fire source fuel is set as propane (C3H8), unsteady combustion is adopted, the fire source power growth curve is set as a t² curve, and the fire growth coefficient is 0.1876 kW / s². The calculated curves corresponding to different fire source distances can be referred to Figure 3 , from Figure 3 it can be seen that it is relatively consistent with the exponential function. Therefore, it is relatively reasonable to perform double-exponential function fitting with the fire source position as the center. The double-fire-source temperature model after data fitting adopts the following formula: .

[0031] In a possible implementation manner, calibrating the position of the unknown fire source according to the predicted fire source distance and the position of the known fire source includes: Calculate the average value of all the second highest vault temperatures in the selected highest temperature group as the predicted highest temperature; the selected highest temperature group is the second highest vault temperature group corresponding to the predicted fire source distance; Take the predicted maximum temperature as T simultaneously max and T x , and solve for the coordinate x corresponding to T x as the center point coordinate; the center point coordinate is the center point between the known fire source and the unknown fire source; Calibrate the position of the unknown fire source according to the center point coordinate and the predicted fire source distance.

[0032] When the embodiments of the present application are implemented, a solution for locating an unknown fire source in the case of a known fire source distance is also provided. For the combustion of two fire sources, the highest temperature at the vault generally lies at the center point between the two fire sources. For this reason, it is necessary to first estimate the approximate second highest temperature at the vault, that is, the predicted maximum temperature. In the embodiments of the present application, the average value of the second highest temperature at the vault in the selected highest temperature group is used. At this time, in the double exponential fitting model, if T x is directly selected as T max , then the x solved is the center point position of the two fire sources. At this time, one side of the solved center point is the position of the known fire source, and the symmetric position on the other side is the unknown fire source. In this way, the undirected predicted fire source distance can be changed into a directed distance, so as to locate the position of the unknown fire source.

[0033] Based on the same inventive concept, the embodiments of the present application also provide a dual-lane highway traffic tunnel disaster analysis system, including: An acquisition unit configured to acquire the position of a known fire source and temperature data detected by a plurality of temperature sensors longitudinally arranged in the tunnel when a fire disaster occurs in the target tunnel; A calculation unit configured to input the plurality of temperature data into a preset single-fire source temperature model to calculate a plurality of first highest temperatures at the vault, and determine that there is an unknown fire source when the standard deviation of the plurality of first highest temperatures at the vault is greater than a preset value; each of the first highest temperatures at the vault corresponds to one temperature data; A random unit configured to randomly select a plurality of possible fire source distances, and input the plurality of temperature data and the fire source distances into a preset dual-fire source temperature model to calculate a plurality of second highest temperature groups at the vault; each of the second highest temperature groups at the vault corresponds to one fire source distance, and each of the second highest temperatures at the vault in the second highest temperature group corresponds to one temperature data; A calculation unit configured to calculate the standard deviation of the second highest temperatures at the vault in each of the second highest temperature groups at the vault, and select the fire source distance corresponding to the second highest temperature group with the smallest standard deviation as the predicted fire source distance; A calibration unit configured to calibrate the position of the unknown fire source according to the predicted fire source distance and the position of the known fire source.

[0034] In a possible implementation, both the single-fire source temperature model and the double-fire source temperature model adopt a double-exponential fitting model: ;

[0035] ;

[0036] wherein, T x is the temperature data at coordinate x, T0 is the temperature data at the reference point x0, T max is the highest temperature at the vault, h is the tunnel height, and A1, A2, t1, and t2 are the first parameters to be fitted.

[0037] In a possible implementation, it further includes a first fitting unit configured to generate the single-fire source temperature model; The first fitting unit is further configured to: Obtain the tunnel parameters and environmental parameters of the target tunnel, and construct a simulation model according to the tunnel parameters; Assign values to the simulation model through the environmental parameters, and arrange ignition points in the simulation model to perform simulation calculations to obtain simulation temperature data at different positions; Perform fitting on the double-exponential fitting model through the simulation temperature data to obtain the first parameters to be fitted.

[0038] In a possible implementation, it further includes a second fitting unit configured to generate the double-fire source temperature model; The second fitting unit is further configured to convert the first parameters to be fitted into a function with the fire source distance as the independent variable according to the following formula: ; ; ; ;

[0039] wherein, B1, B2, B3, B4, C1, C2, C3, C4, C5, and C6 are the second parameters to be fitted, S is the fire source distance, and D is the fire source size; Obtain the tunnel parameters and environmental parameters of the target tunnel, and construct a simulation model according to the tunnel parameters; Assign values to the simulation model through the environmental parameters, and arrange two ignition points in the simulation model to perform simulation calculations to obtain simulation temperature data at different positions under different fire source distances; Perform fitting on the double-exponential fitting model after converting the fitting parameters through the simulation temperature data to obtain the second parameters to be fitted.

[0040] In a possible implementation, the calibration unit is further configured to: Calculate the average value of all the second vault maximum temperatures in the selected maximum temperature group as the predicted maximum temperature; the selected maximum temperature group is the second vault maximum temperature group corresponding to the predicted fire source distance; Simultaneously use the predicted maximum temperature as T max and T x , and solve for the coordinate x corresponding to T x as the center point coordinate; the center point coordinate is the center point between the known fire source and the unknown fire source; Calibrate the position of the unknown fire source according to the center point coordinate and the predicted fire source distance.

[0041] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described according to functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present invention.

[0042] In several embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed couplings or direct couplings or communication connections to each other can be indirect couplings or communication connections through some interfaces, devices, or units, and can also be electrical, mechanical, or other forms of connection.

[0043] The units described as separate components may or may not be physically separated. Obviously, those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described according to functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present invention.

[0044] In addition, each functional unit in various embodiments of the present invention may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of a software functional unit.

[0045] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a grid device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0046] The specific embodiments described above further elaborate on the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only the specific embodiments of the present invention and is not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. 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 analyzing disasters in a two-lane highway traffic tunnel, characterized in that, Including: When a fire disaster occurs in the target tunnel, obtain the position of the known fire source and the temperature data detected by a plurality of temperature sensors arranged longitudinally in the tunnel; Input the plurality of temperature data into a preset single-fire-source temperature model to calculate a plurality of first vault maximum temperatures, and when the standard deviation of the plurality of first vault maximum temperatures is greater than a preset value, determine that there is an unknown fire source; each of the first vault maximum temperatures corresponds to a temperature data; Randomly select a plurality of possible fire source distances, and input the plurality of temperature data and the fire source distances into a preset double-fire-source temperature model to calculate a plurality of second vault maximum temperature groups; each of the second vault maximum temperature groups corresponds to a fire source distance, and each of the second vault maximum temperatures in the second vault maximum temperature group corresponds to a temperature data; Calculate the standard deviation of the second vault maximum temperatures in each of the second vault maximum temperature groups, and select the fire source distance corresponding to the second vault maximum temperature group with the smallest standard deviation as the predicted fire source distance; Calibrate the position of the unknown fire source according to the predicted fire source distance and the position of the known fire source.

2. The method for analyzing disasters in a two-lane highway traffic tunnel according to claim 1, wherein, Both the single-fire-source temperature model and the double-fire-source temperature model adopt a double-exponential fitting model: ； ； Where, T x is the temperature data at the coordinate x, T0 is the temperature data at the reference point x0, T max is the highest temperature at the vault, h is the tunnel height, and A1, A2, t1, and t2 are the first parameters to be fitted.

3. A method for analyzing disasters in a two-lane highway traffic tunnel according to claim 2, characterized in that, The generation of the single-fire-source temperature model includes: Obtain the tunnel parameters and environmental parameters of the target tunnel, and construct a simulation model according to the tunnel parameters; Assign values to the simulation model through the environmental parameters, and arrange a fire starting point in the simulation model to perform simulation calculations to obtain simulation temperature data at different positions; Fit the double-exponential fitting model through the simulation temperature data to obtain the first parameter to be fitted.

4. A method for analyzing disasters in a two-lane highway traffic tunnel according to claim 2, characterized in that, The generation of the double-fire-source temperature model includes, according to the following formula, converting the first parameter to be fitted into a function with the fire source distance as the independent variable: ； ； ； ； In the formula, B1, B2, B3, B4, C1, C2, C3, C4, C5 and C6 are the second parameters to be fitted, S is the fire source distance, and D is the fire source size; Obtain the tunnel parameters and environmental parameters of the target tunnel, and construct a simulation model according to the tunnel parameters; Assign values to the simulation model through the environmental parameters, and arrange two fire starting points in the simulation model to perform simulation calculations to obtain simulation temperature data at different positions under different fire source distances; Fit the double-exponential fitting model after converting the fitting parameters through the simulation temperature data to obtain the second parameter to be fitted.

5. A method for analyzing disasters in a two-lane highway traffic tunnel according to claim 2, characterized in that, Calibrating the position of the unknown fire source according to the predicted fire source distance and the position of the known fire source includes: Calculate the average value of all the second vault maximum temperatures in the selected highest temperature group as the predicted highest temperature; the selected highest temperature group is the second vault maximum temperature group corresponding to the predicted fire source distance; Simultaneously use the predicted maximum temperature as T max and T x , and solve for the coordinate x corresponding to T x as the center point coordinate; the center point coordinate is the center point between the known fire source and the unknown fire source; Calibrate the position of the unknown fire source according to the center point coordinates and the predicted fire source distance.

6. A disaster analysis system for a two-lane highway traffic tunnel, characterized in that, Including: An acquisition unit, configured to obtain the position of the known fire source and the temperature data detected by a plurality of temperature sensors arranged longitudinally in the tunnel when a fire disaster occurs in the target tunnel; A calculation unit, configured to input the multiple temperature data into a preset single-fire source temperature model to calculate multiple first vault maximum temperatures, and determine that there is an unknown fire source when the standard deviation of the multiple first vault maximum temperatures is greater than a preset value; each of the first vault maximum temperatures corresponds to one temperature data; A random unit, configured to randomly select multiple possible fire source distances, and input the multiple temperature data and the fire source distances into a preset double-fire source temperature model to calculate multiple second vault maximum temperature groups; each of the second vault maximum temperature groups corresponds to one fire source distance, and each of the second vault maximum temperatures in the second vault maximum temperature group corresponds to one temperature data; A calculation unit, configured to calculate the standard deviation of the second vault maximum temperatures in each of the second vault maximum temperature groups, and select the fire source distance corresponding to the second vault maximum temperature group with the smallest standard deviation as the predicted fire source distance; A calibration unit, configured to calibrate the position of the unknown fire source according to the predicted fire source distance and the position of the known fire source.

7. The disaster analysis system for a two-lane highway traffic tunnel according to claim 6, wherein, Both the single-fire source temperature model and the double-fire source temperature model adopt a double-exponential fitting model: ； ； Where, T x is the temperature data at the coordinate x, T0 is the temperature data at the reference point x0, T max is the highest temperature at the vault, h is the tunnel height, and A1, A2, t1, and t2 are the first parameters to be fitted.

8. A dual-lane highway traffic tunnel disaster analysis system according to claim 7, characterized in that, Further comprising a first fitting unit, configured to generate the single-fire source temperature model; The first fitting unit is further configured to: Obtain the tunnel parameters and environmental parameters of the target tunnel, and construct a simulation model according to the tunnel parameters; Assign values to the simulation model through the environmental parameters, and arrange fire starting points in the simulation model to perform simulation calculations to obtain simulation temperature data at different positions; Fit the double-exponential fitting model through the simulation temperature data to obtain the first fitting parameters to be fitted.

9. A dual-lane highway traffic tunnel disaster analysis system according to claim 7, characterized in that, Further comprising a second fitting unit, configured to generate the double-fire source temperature model; The second fitting unit is further configured to convert the first fitting parameters to a function with the fire source distance as the independent variable according to the following formula: ； ； ； ； In the formula, B1, B2, B3, B4, C1, C2, C3, C4, C5, and C6 are the second fitting parameters to be fitted, S is the fire source distance, and D is the fire source size; Obtain the tunnel parameters and environmental parameters of the target tunnel, and construct a simulation model according to the tunnel parameters; Assign values to the simulation model through the environmental parameters, and arrange two fire starting points in the simulation model to perform simulation calculations to obtain simulation temperature data at different positions under different fire source distances; Fit the double-exponential fitting model after converting the fitting parameters through the simulation temperature data to obtain the second fitting parameters to be fitted.

10. A dual-lane highway traffic tunnel disaster analysis system according to claim 7, characterized in that, The calibration unit is further configured to: Calculate the average value of all the second vault maximum temperatures in the selected highest temperature group as the predicted highest temperature; the selected highest temperature group is the second vault maximum temperature group corresponding to the predicted fire source distance; Take the predicted maximum temperature as T simultaneously max and T x , and solve for the coordinate x corresponding to T x as the center point coordinate; the center point coordinate is the center point between the known fire source and the unknown fire source; Calibrate the position of the unknown fire source according to the center point coordinates and the predicted fire source distance.

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