Explosion early warning method and device for gas leakage pipeline
By inputting parameters into the preset model in the gas leakage pipeline, selecting an appropriate diffusion model based on the ground obstacle conditions, and calculating the diffusion volume and shock wave impact, the problem of inaccurate explosion risk assessment in traditional gas leakage pipelines is solved, and accurate explosion risk warning is achieved.
Patent Information
- Application Number
- CN202510945041.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-09
- Publication Date
- 2025-09-16
AI Technical Summary
The traditional gas pipeline leakage tracing method lacks accuracy, resulting in low reliability of gas leakage pipeline explosion risk assessment.
By inputting the gas leakage pipeline parameters into the preset model, the leakage rate at the leakage point location is determined. Based on the ground obstacle situation, the Gaussian plume or elevated point source diffusion model is selected to calculate the gas diffusion volume. It is determined whether it meets the explosion volume range, and the shock wave overpressure and impact range are calculated to issue an early warning.
It realizes accurate explosion risk assessment and early warning of gas leakage pipelines, and improves the reliability of gas leakage pipeline explosion early warning.
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Figure CN120650649A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of gas pipeline explosion warning, and in particular to an explosion warning method and device for a gas leakage pipeline. Background Art
[0002] Traditional gas pipeline leak tracing typically relies on gas concentration sensors, which infer the leak location by detecting concentration gradients. This method is limited by its inaccuracy, significantly restricting the reliability of explosion risk assessments conducted under these conditions.
[0003] The inventors have discovered that currently, pipeline leaks are generally detected by using multiple sensors instead of the concentration gradient method. However, due to the complexity of actual pipeline laying and other conditions, it is difficult to accurately perform explosion warning analysis on leaking pipelines. Summary of the Invention
[0004] The purpose of the present invention is to provide a method and device for early warning of explosion of a gas leakage pipeline, so as to alleviate the technical problem of low reliability of early warning analysis of explosion of a gas leakage pipeline in the prior art.
[0005] In a first aspect, the present invention provides an explosion warning method for a gas leakage pipeline, comprising: Inputting pipeline parameters corresponding to the gas leakage pipeline into a preset leakage pipeline model to determine the leakage rate of the leakage point position on the gas leakage pipeline; Based on the ground obstacles of the gas leakage pipeline at the leakage point, a corresponding target model for characterizing the gas concentration distribution at the leakage point is determined; wherein the target model includes a Gaussian plume model and an elevated point source diffusion model; Substituting the leakage rate into the target model to determine the diffusion volume of the gas at the leakage point; Determining whether the diffusion volume meets a preset explosion volume range; If it meets the requirements, the shock wave overpressure and the affected range of the explosion at the leakage point are calculated based on the diffusion volume, and an early warning is issued on the impact of the shock wave overpressure.
[0006] In an optional embodiment, the step of inputting pipeline parameters corresponding to the gas leakage pipeline into a preset leakage pipeline model to determine the leakage rate of the leakage point position on the gas leakage pipeline includes: Inputting the atmospheric pressure corresponding to the gas leakage pipeline and the first pressure at the target point into a preset leakage pipeline model to determine an equivalent result of the second pressure at the leakage point; wherein the target point is any point in the gas leakage pipeline on a straight line passing through the leakage point and perpendicular to the gas leakage pipeline; Determining the gas flow rate at the leakage point based on the specific heat ratio of the gas and the equivalent result of the first pressure and the second pressure; The leakage rate at the leakage point is calculated based on the gas flow rate, the flow coefficient used to characterize the shape of the leakage point, the leakage point area and the gas density.
[0007] In an optional embodiment, the step of determining a corresponding target model for characterizing the gas concentration distribution at the leakage point based on the ground obstacle conditions of the gas leakage pipeline at the leakage point includes: Determine whether there is any ground obstacle blocking the gas leakage pipeline at the leakage point; If it exists, the elevated point source diffusion model is selected as the target model; If it does not exist, the Gaussian plume model is selected as the target model.
[0008] In an optional embodiment, the step of substituting the leakage rate into the target model to determine the diffusion volume of the gas at the leakage point includes: The atmospheric diffusion parameters obtained by looking up the table using the Pasquier method are used to determine the first maximum diffusion distance of the gas from a spatial point on the wind direction axis to the leakage point; Determining the height of the spatial point based on the ground obstacle situation; Substituting the height of the spatial point and the leakage rate into the Gaussian plume model, calculating the second farthest diffusion distance of the gas from the spatial point to the leakage point in the direction perpendicular to the wind direction axis; The diffusion volume of the gas at the leakage point is determined based on the first farthest diffusion distance and the second farthest diffusion distance.
[0009] In an optional embodiment, the step of substituting the leakage rate into the target model to determine the diffusion volume of the gas at the leakage point includes: The atmospheric diffusion parameters obtained by looking up the table using the Pasquier method are used to determine the first maximum diffusion distance of the gas from a spatial point on the wind direction axis to the leakage point; Substituting the preset height value of the spatial point and the leakage rate into the elevated point source diffusion model, calculating the second farthest diffusion distance of the gas from the spatial point to the leakage point in the direction perpendicular to the wind direction axis; Substituting the second maximum diffusion distance preset value and the leakage rate into the elevated point source diffusion model to calculate the height of the gas at the spatial point at the leakage point; Based on the difference between the height of the spatial point and the height of the ground obstacle, the first farthest diffusion distance and the second farthest diffusion distance, the diffusion volume of the gas at the leakage point is determined.
[0010] In an optional embodiment, the step of calculating the shock wave overpressure and the impact range of the explosion at the leakage point based on the diffusion volume includes: Calculating the maximum explosion energy based on the diffusion volume, combustion heat and gas density; Converting the maximum explosion energy to determine an explosion simulation ratio; Determining the shock wave overpressure and the impact radius generated by the explosion at the leakage point based on the explosion simulation ratio and the first maximum diffusion distance; The affected range corresponding to the affected radius and the impact corresponding to the shock wave overpressure are warned.
[0011] In an optional embodiment, before the step of inputting the pipeline parameters corresponding to the gas leakage pipeline into a preset leakage pipeline model to determine the leakage rate of the leakage point on the gas leakage pipeline, the method further includes: The gas leakage pipeline and the location of the leakage point on the gas leakage pipeline are determined from the gas pipeline based on the time difference of arrival of the sound waves detected by multiple sound wave detectors arranged on the gas pipeline.
[0012] In a second aspect, the present invention provides an explosion warning device for a gas leakage pipeline, comprising: A first determination module inputs pipeline parameters corresponding to the gas leakage pipeline into a preset leakage pipeline model to determine the leakage rate of the leakage point position on the gas leakage pipeline; A second determination module determines a corresponding target model for characterizing the gas concentration distribution at the leakage point based on the ground obstacle conditions of the gas leakage pipeline at the leakage point; wherein the target model includes a Gaussian plume model and an elevated point source diffusion model; A third determination module substitutes the leakage rate into the target model to determine the diffusion volume of the gas at the leakage point; A judgment module, judging whether the diffusion volume meets a preset explosion volume range; If the conditions are met, the early warning module calculates the shock wave overpressure and the affected range of the explosion at the leakage point based on the diffusion volume, and issues an early warning on the impact of the shock wave overpressure.
[0013] In a third aspect, the present invention provides an electronic device comprising a memory, a processor, and a program stored in the memory and capable of running on the processor, wherein the processor implements a method as described in any one of the aforementioned embodiments when executing the program.
[0014] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed, the method described in any one of the aforementioned embodiments is implemented.
[0015] An embodiment of the present invention provides an explosion warning method and device for a gas leakage pipeline. The pipeline parameters of each gas leakage pipeline input based on a preset leakage pipeline model can determine the leakage rate of each leakage point on the gas leakage pipeline to know the gas leakage situation of each pipeline. Then, according to the actual ground obstacle situation of the pipeline, a corresponding model describing the gas concentration distribution at the leakage point is selected, and the leakage rate is input to obtain the gas volume diffused from the leakage point. If the diffusion volume meets the preset explosion volume range, the gas leaked from the leakage pipeline has an explosion risk. Then, based on the gas diffusion volume, the shock wave overpressure and the affected range if the leakage point explodes are calculated, and the adverse effects brought by the shock wave overpressure are warned, thereby achieving accurate gas leakage pipeline explosion warning.
[0016] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and the drawings.
[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0019] Figure 1 A flow chart of a method for early warning of explosion of a gas leakage pipeline provided by an embodiment of the present invention; Figure 2 A schematic diagram of a leakage point tracing model provided by an embodiment of the present invention; Figure 3 A schematic diagram of a parameter model of a leaking pipeline provided by an embodiment of the present invention; Figure 4 Table 1 for determining diffusion parameters provided in an embodiment of the present invention; Figure 5 Table 2 for determining diffusion parameters provided in an embodiment of the present invention; Figure 6A schematic diagram of an elevated point source diffusion model provided by an embodiment of the present invention; Figure 7 A schematic diagram of a large-space point source diffusion model provided by an embodiment of the present invention; Figure 8 An effect diagram representing the diffusion distance and the volume of leaked gas provided by an embodiment of the present invention; Figure 9 A schematic diagram of the functional modules of an explosion warning device for a gas leakage pipeline provided by an embodiment of the present invention; Figure 10 A schematic diagram of the hardware architecture of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.
[0021] Current gas pipelines are complex and changeable depending on the actual installation conditions. If there is a leak in the pipeline, it is impossible to effectively perform accurate explosion warning analysis for complex gas leakage situations.
[0022] Based on this, an explosion warning method and device for a gas leakage pipeline provided by an embodiment of the present invention can collect key data in real time through multi-source sensors, combine algorithm models to achieve accurate leakage positioning, and effectively analyze and predict the diffusion of leaked gas to achieve accurate explosion risk assessment.
[0023] To facilitate understanding of this embodiment, a gas leakage pipeline explosion warning method and device disclosed in an embodiment of the present invention are first introduced in detail. This method can be applied to intelligent control devices such as host computers, controllers, and servers to manage gas leakage pipelines.
[0024] Figure 1 A flow chart of a method for early warning of explosion of a gas leakage pipeline provided by an embodiment of the present invention.
[0025] Reference Figure 1 , the method can be implemented by the following steps, including: Step S102: inputting pipeline parameters corresponding to the gas leakage pipeline into a preset leakage pipeline model to determine the leakage rate of the leakage point on the gas leakage pipeline.
[0026] The preset leakage pipeline model is a model pre-established based on the gas leakage pipeline, and the leakage rate of the leakage point is determined based on the comparison result of the input atmospheric environment pressure and the leakage point pressure of the gas leakage pipeline.
[0027] Step S104 : determining a corresponding target model for characterizing the gas concentration distribution at the leakage point based on the ground obstacle conditions of the gas leakage pipeline at the leakage point.
[0028] The target models include the Gaussian plume model and the elevated point source diffusion model. Different target models can be selected based on the presence of different ground obstacles. For example, if the leak point is obstructed by a ground obstacle, the elevated point source diffusion model is selected to ensure leakage diffusion accuracy. If the leak point is not obstructed by a ground obstacle, the Gaussian plume model is selected.
[0029] Step S106: Substitute the leakage rate into the target model to determine the diffusion volume of the gas at the leakage point.
[0030] The gas diffusion condition at the leakage point may be evaluated based on the leakage rate of the leakage point determined in the aforementioned embodiment and the corresponding target model.
[0031] Step S108: determining whether the diffusion volume meets the preset explosion volume range.
[0032] Here, the preset explosion volume range can be understood as the volume threshold range that is prone to explosion, such as Figure 8 As shown, the preset explosion volume range is 5%-15% of the volume corresponding to the area shown by the black dotted line; if the gas diffusion at the leakage point does not meet the preset explosion volume range, the execution can be terminated without performing the explosion warning operation.
[0033] Step S110: If the conditions are met, the shock wave overpressure and the affected range of the explosion at the leakage point are calculated based on the diffusion volume, and an early warning is issued on the impact of the shock wave overpressure.
[0034] At this time, it is a leakage scenario that is prone to explosion. Based on the gas diffusion at the leakage point, an early warning of the impact of the hypothetical explosion and the scope of the impact is given.
[0035] In a preferred embodiment of actual application, the pipeline parameters of each gas leakage pipeline input based on the preset leakage pipeline model can determine the leakage rate of each leakage point on the gas leakage pipeline to know the gas leakage situation of each pipeline, and then select the corresponding model that describes the gas concentration distribution of the leakage point according to the actual ground obstacle situation of the pipeline, and input the leakage rate to obtain the gas volume diffused by the leakage point. If the diffusion volume meets the preset explosion volume range, the gas leaked from the leakage pipeline has an explosion risk, and then the shock wave overpressure and the affected range if the leakage point explodes are calculated based on the gas diffusion volume, and the adverse effects brought by the shock wave overpressure are warned, thereby realizing accurate gas leakage pipeline explosion warning.
[0036] In some embodiments, before step S102, the leakage point may be accurately located using a multi-sensor device, and the specific method further includes: Step 1.1: Based on the time difference of arrival of sound waves detected by multiple sound wave detectors installed on the gas pipeline, a gas leakage pipeline and a leakage point position on the gas leakage pipeline are determined from the gas pipeline.
[0037] Among them, the location estimation of each leakage point requires three acoustic wave sensors to be realized, such as Figure 2 As shown, the coordinate positions of detectors A, B, and C (x i ,y i ) is known, and the times when abnormal information is recorded are t1, t2, and t3, the propagation speed of the sound wave along the pipeline is q, and the distance from the sound source P(x, y) at the leakage point to each detector is d, then:
[0038] For two detectors A and B, the time difference between the sound wave from the leak point source and the time it takes to reach each detector is Δt 12 , which can be expressed as:
[0039] By analogy, through multiple time difference formulas (such as Δt 12 , Δt 13 ), a set of equations can be established to solve the position of the leakage point P(x, y).
[0040] Based on the above embodiment, step S102 calculates the leakage rate of the leakage point, which specifically includes: Step 1.1: Input the atmospheric pressure corresponding to the gas leakage pipeline and the first pressure at the target point into the preset leakage pipeline model to determine the equivalent result of the second pressure at the leakage point.
[0041] Among them, the preset leakage pipeline model is as follows Figure 3As shown in FIG. 1 , a virtual model for characterizing a gas leakage pipeline is shown; the target point position is any point in the gas leakage pipeline on a straight line perpendicular to the gas leakage pipeline through the leakage point position. In the embodiment of the present invention, the target point position is based on Figure 3 The position shown by number 2 is taken as an example to illustrate the leakage point. Figure 3 The position shown by number 3; it can be understood that the atmospheric pressure is P a The first pressure at the target point is P2 and the second pressure at the leakage point is P3. Based on the preset leakage pipeline model, the ratio of the two is calculated to obtain the comparison result. The equivalent result of the second pressure at the leakage point is the critical pressure ratio CPR= .
[0042] Step 1.2, based on the specific heat ratio of the gas and the equivalent result CPR of the first pressure and the second pressure, determine the gas flow rate u3 at the leakage point;
[0043] Where k is the specific heat ratio, which is 1.334 for methane.
[0044] In step 1.3, the leakage rate at the leakage point is calculated based on the gas flow rate, the flow coefficient used to characterize the shape of the leakage point, the leakage point area, and the gas density.
[0045]
[0046] Among them, Co represents the flow coefficient, which is related to the shape of the leakage port and is taken as 0.9; A is the leakage port area m2, is the gas density.
[0047] In practical applications, the corresponding model is selected based on the actual complex installation conditions of the gas leakage pipeline and the obstruction conditions of the leakage point, including: Step 2.1: Determine whether there is any ground obstacle blocking the gas leak pipeline at the leak point.
[0048] Among them, the obstruction of ground obstacles will cause different diffusion conditions of gas leakage at the leakage point, and then selecting the corresponding target model can more accurately simulate the gas diffusion.
[0049] In step 2.2, if it exists, the elevated point source diffusion model is selected as the target model.
[0050] In the case where the elevated point source diffusion model is the target model, step S106 determines the diffusion volume of the gas at the leakage point based on the leakage rate calculated in the above embodiment, including: Step 2.2.1: Determine the first maximum diffusion distance of the gas from a spatial point on the wind direction axis to the leakage point using the atmospheric diffusion parameters obtained by looking up the table using the Pasquier method.
[0051] Among them, Figure 4 As shown, the corresponding Pasquier level is determined based on the current ground wind speed, solar radiation during the day, cloudy day or night, and different cloud cover nights. Figure 5 Find the atmospheric diffusion coefficient corresponding to each Pasquale level and ; It should be noted that the atmospheric diffusion coefficient and It is related to the atmospheric stability and the horizontal distance of gas diffusion. The atmospheric diffusion coefficient increases with the increase of atmospheric stability. The function can calculate the first maximum diffusion distance x of the gas from a spatial point on the wind direction axis to the leakage point.
[0052] Step 2.2.2: Substitute the preset value of the spatial point height and the leakage rate into the elevated point source diffusion model to calculate the second longest diffusion distance of the gas from the spatial point to the leakage point in the direction perpendicular to the wind direction axis; Figure 6 The elevated point source diffusion model shown can be calculated using the following formula:
[0053] Among them, the preset value of the height of the spatial point in the embodiment of the present invention can be understood as the preset z-axis height z is 0, and the above formula is substituted to calculate the second farthest diffusion distance y of the gas from the spatial point to the leakage point in the direction perpendicular to the wind direction axis; here, H is the height of the ground obstacle, and the ground obstacle can be a chimney.
[0054] In step 2.2.3, the preset value of the second farthest diffusion distance and the leakage rate are substituted into the elevated point source diffusion model to calculate the height of the gas at the spatial point where the leakage point is located.
[0055] Here, the preset value of the second farthest diffusion distance in the embodiment of the present invention can be understood as the preset y-axis height y being 0, which is substituted into the above formula to calculate the height z of the spatial point of the gas at the leakage point.
[0056] Step 2.2.4, based on the difference between the height z of the spatial point and the height H of the ground obstacle, the first farthest diffusion distance x and the second farthest diffusion distance y, determine the diffusion volume of the gas at the leakage point.
[0057] It can be understood that based on geometric principles, the actual height of the leakage point in the three-axis directions of x, y, and z (the difference between z and H), the first farthest diffusion distance x, and the second farthest diffusion distance y can be used to calculate the geometric volume used to characterize the diffusion situation of the gas at the leakage point.
[0058] In step 2.3, if it does not exist, the Gaussian plume model is selected as the target model.
[0059] When the Gaussian plume model is the target model, step S106 determines the diffusion volume of the gas at the leakage point based on the leakage rate calculated in the above embodiment, including: Step 2.3.1: Determine the first maximum diffusion distance of the gas from a spatial point on the wind direction axis to the leakage point using the atmospheric diffusion parameters obtained by looking up the table using the Pasquier method.
[0060] Similar to the above embodiment, the first maximum diffusion distance x of the gas from the spatial point on the wind direction axis to the leakage point is calculated, which will not be repeated here.
[0061] Step 2.3.2: Determine the height of the spatial point based on the ground obstacle situation.
[0062] It can be understood that the current Gaussian plume model corresponds to the situation where there are no obstacles on the ground, that is, the height z of the spatial point is 0.
[0063] In step 2.3.3, the height and leakage rate of the spatial point are substituted into the Gaussian plume model to calculate the second longest diffusion distance of the gas from the spatial point to the leakage point in the direction perpendicular to the wind direction axis.
[0064] like Figure 7 The large-space point source diffusion model shown is the Gaussian plume model. The effective source is located at the coordinate origin o, and the average wind direction is parallel to the x-axis and in the same direction as the positive x-axis. It is assumed that the point source diffuses in free space without any obstacles, and the existence of the underlying surface is not considered. Diffusion in the atmosphere is a two-dimensional normal distribution with two coordinate directions, y and z. When the random variables in the two coordinate directions are independent, the distribution density is the product of the one-dimensional normal distribution density functions in each coordinate direction, and the formula is:
[0065] Where C is the concentration of the pollutant at the spatial point (x, y, z), in kg / m3. and are the standard deviations in the horizontal and vertical directions, i.e., the diffusion parameters in the y and x directions, u is the average wind speed, m / s, x is the distance from the spatial point to the source on the wind direction axis, in meters, y is the distance from the spatial point to the source in the direction perpendicular to the wind direction axis, in meters, and z is the height of the spatial point, in meters.
[0066] Step 2.3.4: Determine the diffusion volume of the gas at the leakage point based on the first maximum diffusion distance x and the second maximum diffusion distance y.
[0067] Similar to the above embodiment, based on the geometric principle, the actual height of the leakage point in the x, y, and z axes (z=0), the first farthest diffusion distance x, and the second farthest diffusion distance y can be used to calculate the geometric volume used to characterize the diffusion of the gas at the leakage point, such as Figure 8 An elliptical volume is shown.
[0068] Based on the diffusion volume determined by one of the two target models in the aforementioned embodiment, the step of calculating the shock wave overpressure and the impact range of the explosion at the leakage point location based on the diffusion volume in step S110 can also be achieved by the following steps, including: Step 3.1, calculate the maximum explosion energy based on the diffusion volume, combustion heat and gas density, specifically using the following formula:
[0069] Among them, p o is the gas density (kg / m3), V is the diffusion volume (m3), Q1 is the heat of combustion (kJ / kg), and E is the maximum explosion energy.
[0070] Step 3.2: Convert the maximum explosion energy to determine the explosion simulation ratio, as shown in the following formula:
[0071]
[0072] Among them, the maximum explosion energy E is converted into explosive q TNT , 1kg explosive q TNT The blasting energy released by the explosion is 4500 kJ / kg, q is the amount of explosives consumed to generate the shock wave during the explosion, q0 is the reference amount of explosives, and a is the explosion simulation ratio.
[0073] In step 3.3, based on the explosion simulation ratio and the first farthest diffusion distance, determine the shock wave overpressure and the radius of the explosion at the leakage point, as shown in the following formula:
[0074]
[0075] Wherein, R is the sweep radius, R0 is the first farthest diffusion distance, which is equivalent to x in the above embodiment. is the shock wave overpressure generated by the explosion at the leakage point, and n is the attenuation coefficient.
[0076] In step 3.4, an early warning is issued for the impact range corresponding to the impact radius and the impact corresponding to the shock wave overpressure.
[0077] Here, based on the value of the shock wave overpressure, it is possible to predict the damage to doors, walls, glass, buildings, etc., as well as the population density within the affected radius. It is also possible to know the impact of an explosion at the gas pipeline leakage point and issue a corresponding warning.
[0078] In some embodiments, as Figure 9 As shown, an embodiment of the present invention further provides an explosion warning device for a gas leakage pipeline, comprising: A first determination module inputs pipeline parameters corresponding to the gas leakage pipeline into a preset leakage pipeline model to determine the leakage rate of the leakage point position on the gas leakage pipeline; A second determination module determines a corresponding target model for characterizing the gas concentration distribution at the leakage point based on the ground obstacle conditions of the gas leakage pipeline at the leakage point; wherein the target model includes a Gaussian plume model and an elevated point source diffusion model; A third determination module substitutes the leakage rate into the target model to determine the diffusion volume of the gas at the leakage point; A judgment module, judging whether the diffusion volume meets a preset explosion volume range; If the conditions are met, the early warning module calculates the shock wave overpressure and the affected range of the explosion at the leakage point based on the diffusion volume, and issues an early warning on the impact of the shock wave overpressure.
[0079] Furthermore, the first determination module is specifically used to input the atmospheric environment pressure corresponding to the gas leakage pipeline and the first pressure at the target point position into a preset leakage pipeline model to determine the equivalent result of the second pressure at the leakage point position; wherein, the target point position is any point in the gas leakage pipeline on a straight line passing through the leakage point position and perpendicular to the gas leakage pipeline; based on the specific heat ratio of the gas, the equivalent result of the first pressure and the second pressure is used to determine the gas flow rate at the leakage point position; based on the gas flow rate, the flow coefficient used to characterize the shape of the leakage point, the leakage point area and the gas density are used to calculate the leakage rate at the leakage point position.
[0080] Furthermore, the second determination module is specifically used to determine whether there is a ground obstacle blocking the gas leakage pipeline at the leakage point; if so, the elevated point source diffusion model is selected as the target model; if not, the Gaussian plume model is selected as the target model.
[0081] Furthermore, the third determination module is specifically used to determine the first maximum diffusion distance of the gas from the spatial point on the wind direction axis to the leakage point position through the atmospheric diffusion parameters obtained by looking up the table using the Pasquier method; determine the height of the spatial point based on the ground obstacle conditions; substitute the height of the spatial point and the leakage rate into the Gaussian plume model to calculate the second maximum diffusion distance of the gas from the spatial point to the leakage point position in the direction perpendicular to the wind direction axis; and determine the diffusion volume of the gas at the leakage point position based on the first maximum diffusion distance and the second maximum diffusion distance.
[0082] Furthermore, the third determination module is specifically used to determine the first maximum diffusion distance of the gas from the spatial point on the wind direction axis to the leakage point position through the atmospheric diffusion parameters obtained by looking up the table using the Pasquier method; substitute the preset value of the height of the spatial point and the leakage rate into the elevated point source diffusion model to calculate the second maximum diffusion distance of the gas from the spatial point in the vertical direction of the wind direction axis to the leakage point position; substitute the preset value of the second maximum diffusion distance and the leakage rate into the elevated point source diffusion model to calculate the height of the gas at the spatial point at the leakage point position; based on the difference between the height of the spatial point and the height of the ground obstacle, the first maximum diffusion distance and the second maximum diffusion distance are used to determine the diffusion volume of the gas at the leakage point position.
[0083] Furthermore, the early warning module is specifically used to calculate the maximum explosion energy based on the diffusion volume, combustion heat and gas density; convert the maximum explosion energy to determine the explosion simulation ratio; determine the shock wave overpressure and the affected radius generated by the explosion at the leakage point based on the explosion simulation ratio and the first farthest diffusion distance; and issue an early warning of the affected range corresponding to the affected radius and the impact corresponding to the shock wave overpressure.
[0084] Furthermore, before inputting the pipeline parameters corresponding to the gas leakage pipeline into a preset leakage pipeline model to determine the leakage rate of the leakage point position on the gas leakage pipeline, the device is also used to determine the gas leakage pipeline and the leakage point position on the gas leakage pipeline from the gas pipeline based on the sound wave arrival time difference detected by multiple sound wave detectors set on the gas pipeline.
[0085] An embodiment of the present invention provides an electronic device for implementing an electronic device. In this embodiment, the electronic device may be, but is not limited to, a personal computer (PC), a laptop computer, a monitoring device, a server, or other computer device with analysis and processing capabilities.
[0086] As an exemplary embodiment, see Figure 10The electronic device 110 includes a communication interface 111, a processor 112, a memory 113 and a bus 114. The processor 112, the communication interface 111 and the memory 113 are connected via the bus 114. The above-mentioned memory 113 is used to store a computer program that supports the processor 112 to execute the above-mentioned method. The above-mentioned processor 112 is configured to execute the program stored in the memory 113.
[0087] The machine-readable storage medium referred to herein can be any electronic, magnetic, optical, or other physical storage device that can contain or store information, such as executable instructions, data, and the like. For example, the machine-readable storage medium can be: RAM (Random Access Memory), volatile memory, non-volatile memory, flash memory, a storage drive (such as a hard drive), any type of storage disk (such as a CD, DVD, etc.), or similar storage media, or a combination thereof.
[0088] The non-volatile medium may be a non-volatile memory, a flash memory, a storage drive (such as a hard drive), any type of storage disk (such as an optical disk, a DVD, etc.), or similar non-volatile storage media, or a combination thereof.
[0089] It can be understood that the specific operation methods of each functional module in this embodiment can refer to the detailed description of the corresponding steps in the above method embodiment, and will not be repeated here.
[0090] The computer-readable storage medium provided in the embodiments of the present invention stores a computer program. When the computer program code is executed, the method described in any of the above embodiments can be implemented. For specific implementation, please refer to the method embodiment, which will not be repeated here.
[0091] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described systems and devices can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0092] In addition, in the description of the embodiments of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; they may refer to mechanical connections or electrical connections; they may refer to direct connections or indirect connections through an intermediate medium; and they may refer to internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.
[0093] In the description of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.
[0094] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present invention, which are used to illustrate the technical solutions of the present invention rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the above-mentioned embodiments, ordinary technicians in this field should understand that any technician familiar with this technical field can still modify the technical solutions recorded in the above-mentioned embodiments within the technical scope disclosed by the present invention, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered by the protection scope of the present invention.
Claims
1. A method for early warning of explosion of a gas leakage pipeline, characterized in that: include: Inputting pipeline parameters corresponding to the gas leakage pipeline into a preset leakage pipeline model to determine the leakage rate of the leakage point position on the gas leakage pipeline; Based on the ground obstacles of the gas leakage pipeline at the leakage point, a corresponding target model for characterizing the gas concentration distribution at the leakage point is determined; wherein the target model includes a Gaussian plume model and an elevated point source diffusion model; Substituting the leakage rate into the target model to determine the diffusion volume of the gas at the leakage point; Determining whether the diffusion volume meets a preset explosion volume range; If it meets the requirements, the shock wave overpressure and the affected range of the explosion at the leakage point are calculated based on the diffusion volume, and an early warning is issued on the impact of the shock wave overpressure.
2. The method according to claim 1, characterized in that The step of inputting pipeline parameters corresponding to the gas leakage pipeline into a preset leakage pipeline model to determine the leakage rate of the leakage point position on the gas leakage pipeline includes: Inputting the atmospheric pressure corresponding to the gas leakage pipeline and the first pressure at the target point into a preset leakage pipeline model to determine an equivalent result of the second pressure at the leakage point; wherein the target point is any point in the gas leakage pipeline on a straight line passing through the leakage point and perpendicular to the gas leakage pipeline; Determining the gas flow rate at the leakage point based on the specific heat ratio of the gas and the equivalent result of the first pressure and the second pressure; The leakage rate at the leakage point is calculated based on the gas flow rate, the flow coefficient used to characterize the shape of the leakage point, the leakage point area and the gas density.
3. The method according to claim 1, characterized in that The step of determining a corresponding target model for characterizing the gas concentration distribution at the leakage point based on the ground obstacle conditions of the gas leakage pipeline at the leakage point includes: Determine whether there is any ground obstacle blocking the gas leakage pipeline at the leakage point; If it exists, the elevated point source diffusion model is selected as the target model; If it does not exist, the Gaussian plume model is selected as the target model.
4. The method according to claim 3, characterized in that The step of substituting the leakage rate into the target model to determine the diffusion volume of the gas at the leakage point includes: The atmospheric diffusion parameters obtained by looking up the table using the Pasquier method are used to determine the first maximum diffusion distance of the gas from a spatial point on the wind direction axis to the leakage point; Determining the height of the spatial point based on the ground obstacle situation; Substituting the height of the spatial point and the leakage rate into the Gaussian plume model, calculating the second farthest diffusion distance of the gas from the spatial point to the leakage point in the direction perpendicular to the wind direction axis; The diffusion volume of the gas at the leakage point is determined based on the first farthest diffusion distance and the second farthest diffusion distance.
5. The method according to claim 3, characterized in that The step of substituting the leakage rate into the target model to determine the diffusion volume of the gas at the leakage point includes: The atmospheric diffusion parameters obtained by looking up the table using the Pasquier method are used to determine the first maximum diffusion distance of the gas from a spatial point on the wind direction axis to the leakage point; Substituting the preset height value of the spatial point and the leakage rate into the elevated point source diffusion model, calculating the second farthest diffusion distance of the gas from the spatial point to the leakage point in the direction perpendicular to the wind direction axis; Substituting the second maximum diffusion distance preset value and the leakage rate into the elevated point source diffusion model to calculate the height of the gas at the spatial point at the leakage point; Based on the difference between the height of the spatial point and the height of the ground obstacle, the first farthest diffusion distance and the second farthest diffusion distance, the diffusion volume of the gas at the leakage point is determined.
6. The method according to claim 4 or 5, characterized in that The step of calculating the shock wave overpressure and the impact range of the explosion at the leakage point based on the diffusion volume includes: Calculating the maximum explosion energy based on the diffusion volume, combustion heat and gas density; Converting the maximum explosion energy to determine an explosion simulation ratio; Determining the shock wave overpressure and the impact radius generated by the explosion at the leakage point based on the explosion simulation ratio and the first maximum diffusion distance; The affected range corresponding to the affected radius and the impact corresponding to the shock wave overpressure are warned.
7. The method according to claim 1, characterized in that Before the step of inputting pipeline parameters corresponding to the gas leakage pipeline into a preset leakage pipeline model to determine the leakage rate of the leakage point position on the gas leakage pipeline, the method further includes: The gas leakage pipeline and the location of the leakage point on the gas leakage pipeline are determined from the gas pipeline based on the time difference of arrival of the sound waves detected by multiple sound wave detectors arranged on the gas pipeline.
8. An explosion warning device for a gas leak pipeline, characterized in that: include: A first determination module inputs pipeline parameters corresponding to the gas leakage pipeline into a preset leakage pipeline model to determine the leakage rate of the leakage point position on the gas leakage pipeline; A second determination module determines a corresponding target model for characterizing the gas concentration distribution at the leakage point based on the ground obstacle conditions of the gas leakage pipeline at the leakage point; wherein the target model includes a Gaussian plume model and an elevated point source diffusion model; A third determination module substitutes the leakage rate into the target model to determine the diffusion volume of the gas at the leakage point; A judgment module, judging whether the diffusion volume meets a preset explosion volume range; If the conditions are met, the early warning module calculates the shock wave overpressure and the affected range of the explosion at the leakage point based on the diffusion volume, and issues an early warning on the impact of the shock wave overpressure.
9. An electronic device, characterized in that: The method comprises a memory, a processor, and a program stored in the memory and capable of being run on the processor, wherein the processor implements the method according to any one of claims 1 to 7 when executing the program.
10. A computer-readable storage medium, characterized in that The readable storage medium stores a computer program, and when the computer program is executed, the method according to any one of claims 1 to 7 is implemented.