CN116415473A - Method, device, equipment and medium for determining gas pipeline failure influence radius - Google Patents

Method, device, equipment and medium for determining gas pipeline failure influence radius Download PDF

Info

Publication number
CN116415473A
CN116415473A CN202111613685.3A CN202111613685A CN116415473A CN 116415473 A CN116415473 A CN 116415473A CN 202111613685 A CN202111613685 A CN 202111613685A CN 116415473 A CN116415473 A CN 116415473A
Authority
CN
China
Prior art keywords
gas
hydrogen
determining
pipeline
doped
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111613685.3A
Other languages
Chinese (zh)
Inventor
鲁仰辉
花争立
孙晨
白亚奎
尚娟
兰雪影
范霁红
魏皓天
于文涛
王珂
蒋慧静
谢凯
常华健
李盈盈
付怀仁
张立业
宋占武
高阳
吴大伟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chaoyang Yanshanhu Power Generation Co ltd
Zhejiang University ZJU
State Power Investment Group Science and Technology Research Institute Co Ltd
Original Assignee
Chaoyang Yanshanhu Power Generation Co ltd
Zhejiang University ZJU
State Power Investment Group Science and Technology Research Institute Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chaoyang Yanshanhu Power Generation Co ltd, Zhejiang University ZJU, State Power Investment Group Science and Technology Research Institute Co Ltd filed Critical Chaoyang Yanshanhu Power Generation Co ltd
Priority to CN202111613685.3A priority Critical patent/CN116415473A/en
Publication of CN116415473A publication Critical patent/CN116415473A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/14—Pipes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/08—Thermal analysis or thermal optimisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Health & Medical Sciences (AREA)
  • Development Economics (AREA)
  • Quality & Reliability (AREA)
  • Evolutionary Computation (AREA)
  • Game Theory and Decision Science (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • Educational Administration (AREA)
  • Geometry (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Examining Or Testing Airtightness (AREA)

Abstract

The disclosure provides a method, a device, equipment and a storage medium for determining a gas pipeline failure influence radius. The specific scheme is as follows: acquiring the hydrogen loading proportion of fuel gas in a fuel gas pipeline, basic parameters of the fuel gas pipeline and a first reference coefficient set; determining a second reference coefficient according to the hydrogen loading proportion of the fuel gas and the first reference coefficient in the first reference coefficient set; and determining the failure influence radius of the gas pipeline according to the second reference coefficient and the basic parameters of the gas pipeline. Therefore, aiming at the hydrogen loading proportion of the fuel gas in the fuel gas pipeline, namely the actual condition of conveying the gas medium, the impact wave hazard range and the like caused by gas expansion when the pipeline explodes are considered, and various influencing factors such as gas characteristics, leakage, heat radiation and the like are quantified, so that the influence results of the pipeline failure can be accurately evaluated.

Description

Method, device, equipment and medium for determining gas pipeline failure influence radius
Technical Field
The disclosure relates to the field of integrity management of pipeline systems, and in particular relates to a method and a device for determining a failure influence radius of a gas pipeline, computer equipment and a storage medium.
Background
Aiming at a specific hydrogen pipeline use area, the potential risk hidden danger in a pipe gallery area is usually required to be analyzed, main risk factors are classified and identified, such as a pipeline leakage accident scene is established, then explosion accident simulation is carried out in the scene, and the change condition of a temperature field, flame development condition and explosion shock wave is analyzed to evaluate the effect influence degree caused by explosion.
In the related technology, a three-dimensional model of a certain pipe section in a public pipe gallery area can be established through FLACS software, an initial accident pipeline is selected for simulation, so that diffusion rules and influence ranges of different scenes are obtained, however, specific scene concrete analysis is needed for doing so, a fixed risk quantification evaluation method cannot be formed, and the technology is only aimed at a hydrogen pipeline in a chemical industry park and does not relate to the failure influence range of a hydrogen-doped natural gas conveying pipeline with more special gas characteristics. Therefore, how to accurately and conveniently determine the failure influence range of the gas pipeline is a problem to be solved currently.
Disclosure of Invention
The present disclosure aims to solve, at least to some extent, one of the technical problems in the related art.
The disclosure provides a method, a device, a system and a storage medium for determining a gas pipeline failure influence radius.
According to a first aspect of the present disclosure, there is provided a method for determining a gas pipeline failure impact radius, including:
acquiring the hydrogen loading proportion of fuel gas in a fuel gas pipeline, basic parameters of the fuel gas pipeline and a first reference coefficient set;
determining a second reference coefficient according to the hydrogen loading proportion of the fuel gas and the first reference coefficient in the first reference coefficient set;
and determining the failure influence radius of the gas pipeline according to the second reference coefficient and the basic parameters of the gas pipeline.
According to a second aspect of the present disclosure, there is provided a gas pipeline failure influence radius determining apparatus, comprising:
the acquisition module is used for acquiring the hydrogen loading proportion of the fuel gas in the fuel gas pipeline, the basic parameters of the fuel gas pipeline and the first reference coefficient set;
the first determining module is used for determining a second reference coefficient according to the hydrogen loading proportion of the fuel gas and the first reference coefficient in the first reference coefficient set;
and the second determining module is used for determining the failure influence radius of the gas pipeline according to the second reference coefficient and the basic parameter of the gas pipeline.
According to a third aspect of the present disclosure, there is provided an electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of the first aspects.
According to a fourth aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the method of any one of the first aspects.
Embodiments of a fifth aspect of the present disclosure propose a computer program product which, when executed by an instruction processor in the computer program product, performs the method proposed by the embodiments of the first aspect of the present disclosure.
The method, the device and the equipment for determining the failure influence radius of the gas pipeline have the following beneficial effects:
in the embodiment of the disclosure, firstly, a hydrogen loading ratio of fuel gas in a fuel gas pipeline, a basic parameter of the fuel gas pipeline and a first reference coefficient set are obtained, then, a second reference coefficient is determined according to the hydrogen loading ratio of the fuel gas and the first reference coefficient in the first reference coefficient set, and then, a failure influence radius of the fuel gas pipeline is determined according to the second reference coefficient and the basic parameter of the fuel gas pipeline. Therefore, the method can quantify various influencing factors such as gas characteristics, leakage, heat radiation and the like according to the hydrogen loading proportion of the gas in the gas pipeline, namely the actual condition of conveying the gas medium, considering the heat radiation hazard range of pipeline failure, the shock wave hazard range caused by gas expansion when the pipeline explodes and the like, and further can accurately evaluate the influencing results of the pipeline failure, thereby realizing early warning.
Additional aspects and advantages of the disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the disclosure.
Drawings
The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart of a method for determining a gas pipeline failure impact radius according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of a method for determining a gas pipeline failure impact radius according to yet another embodiment of the present disclosure;
FIG. 3 is a block diagram of a gas pipeline failure radius determination apparatus provided by the present disclosure;
fig. 4 is a block diagram of an electronic device for implementing the method of determining a gas duct failure impact radius of the present disclosure.
Detailed Description
Embodiments of the present disclosure are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary only for explaining the present disclosure and are not to be construed as limiting the present disclosure. On the contrary, the embodiments of the disclosure include all alternatives, modifications, and equivalents as may be included within the spirit and scope of the appended claims.
It may be stated that, the execution main body of the method for determining the gas pipeline failure influence radius according to the embodiment is a device for determining the gas pipeline failure influence radius, and the device may be implemented in a software and/or hardware manner, and may be configured in a computer device, where the computer device may include, but is not limited to, a terminal, a server, and the like, and the method for determining the gas pipeline failure influence radius provided by the present disclosure will be described below using a cloud server as the execution main body.
Fig. 1 is a flow chart illustrating a method for determining a failure impact radius of a gas pipeline according to an embodiment of the disclosure.
As shown in fig. 1, the method for determining the failure influence radius of the gas pipeline comprises the following steps:
s101, acquiring the hydrogen loading ratio of the fuel gas in the fuel gas pipeline, the basic parameters of the fuel gas pipeline and a first reference coefficient set.
The gas pipeline may be a hydrogen pipeline or a hydrogen-doped natural gas pipeline, that is, a natural gas pipeline according to a certain hydrogen-doped proportion, which is not limited herein.
It should be noted that, the gas pipeline is used for conveying the gas, however, the pipeline may fail due to material defects, corrosion and construction quality problems, that is, the gas cannot be conveyed normally, such as leakage, breakage, damage and the like. The failure of the gas pipeline may induce serious accidents, such as explosion accidents, so that the influence range of the pipeline failure needs to be determined, and potential safety hazards possibly existing in the pipeline failure are analyzed to achieve early prevention.
In particular, for a gas line to which hydrogen is added, it is necessary to first determine the proportion of hydrogen in the gas, i.e., the extent to which hydrogen is contained. In the present disclosure, the hydrogen loading ratio is used as a quantification result of the hydrogen loading degree.
It should be noted that there may be a plurality of basic parameters of the gas pipeline, which may be parameters of the pipeline itself, and related parameters of the gas. The basic parameters of the gas pipeline comprise pipeline parameters and gas parameters, wherein the pipeline parameters at least comprise pipeline operating pressure and pipeline diameter, and the gas parameters at least comprise combustion efficiency coefficient, radiation coefficient, release rate attenuation factor, leakage coefficient and critical heat flux.
The first reference coefficient set may include a plurality of first reference coefficients, where the first reference coefficients may also be factors that affect the failure radius of the gas pipeline, and are related to the hydrogen loading ratio, such as gas combustion heat, flow factors, gas specific heat ratio, gas sound velocity, and the like, and are not limited herein.
S102, determining a second reference coefficient according to the hydrogen loading ratio of the fuel gas and the first reference coefficient in the first reference coefficient set.
Alternatively, the hydrogen-doped gas specific heat ratio may be determined based on the hydrogen-doped ratio and the hydrogen gas specific heat ratio and methane gas specific heat ratio in the first reference coefficient set.
In the present disclosure, the specific heat ratio of hydrogen gas may be 1.412, the specific heat ratio of methane gas may be 1.306, and the specific heat ratio of hydrogen-doped gas may be calculated by the following formula:
Figure BDA0003435832870000041
wherein, gamma mix For the specific heat ratio of the hydrogen-doped gas, a is the hydrogen-doped ratio,
Figure BDA0003435832870000042
taking 1.412 as the gas specific heat ratio of hydrogen,
Figure BDA0003435832870000043
1.306 is taken as the gas specific heat ratio of methane.
Specifically, after the specific heat ratio of the hydrogen-doped gas is determined, the flow factor can be calculated according to the following formula:
Figure BDA0003435832870000044
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure BDA0003435832870000045
is the flow factor and γ is the specific heat ratio of the hydrogen-doped gas.
Alternatively, the hydrogen-doped gas molar mass may be determined based on the hydrogen-doped ratio and the methane molar mass and the hydrogen molar mass in the first reference coefficient set.
In the context of the present disclosure,
Figure BDA0003435832870000046
for the molar mass of hydrogen, 2.02kg/mol,/mol are taken>
Figure BDA0003435832870000047
For the molar mass of methane, 16.04kg/mol were taken.
Wherein the molar mass m of the hydrogen-doped gas mix Can take out
Figure BDA0003435832870000051
Where a is the hydrogen loading ratio.
Alternatively, the hydrogen-doped gas heat of combustion may be determined based on the hydrogen-doped ratio and the heat of combustion of methane, the heat of combustion of hydrogen, the molar mass of methane, and the molar mass of hydrogen in the first reference coefficient set.
In the present disclosure, methane combustion heat
Figure BDA0003435832870000052
Can be 50000kJ/kg, the combustion heat of hydrogen is +.>
Figure BDA0003435832870000053
114482kJ/kg can be taken, wherein the heat of combustion H of the hydrogen-doped gas Cmix The calculation can be made by the following formula:
Figure BDA0003435832870000054
alternatively, the gas sound velocity may be determined based on the specific heat ratio of the hydrogen-doped gas, the molar mass of the hydrogen-doped gas, and the ideal gas constant, gas temperature in the first reference coefficient set.
In the present disclosure, the ideal gas constant may be 8314J/(kg. Mol. K), and the gas temperature K may be 15℃or 288K.
Wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure BDA0003435832870000055
a 0 is the gas sound velocity, T is the gas temperature, R is the ideal gas constant, and m is the molar mass of the hydrogen-doped gas.
The second reference coefficient is the gas sound velocity, the combustion heat of the hydrogen-doped gas, the specific heat ratio of the hydrogen-doped gas, the flow factor and the molar mass of the hydrogen-doped gas calculated according to the first reference coefficient and the hydrogen-doped ratio, and is not limited herein.
S103, determining the failure influence radius of the gas pipeline according to the second reference coefficient and the basic parameters of the gas pipeline.
Alternatively, the failure impact radius of the gas pipeline may be determined based on the pipeline operating pressure, the pipeline diameter, the combustion efficiency coefficient, the emissivity coefficient, the release rate decay factor, the leakage coefficient, the hydrogen-doped gas specific heat ratio, the gas sonic velocity, and the hydrogen-doped gas heat of combustion in the critical heat flux, and the second reference coefficient.
Wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure BDA0003435832870000056
wherein r is the failure influence radius, mu is the combustion efficiency coefficient, χ g Is the emissivity, 0.15 for a hydrogen loading ratio of 1 and 0.2 for a fuel gas with a hydrogen loading ratio of less than 1.
Where λ is the release rate decay factor, cd is the leakage coefficient taken to be 0.62, a 0 Is the sound velocity of the gas, I is the critical heat flux, p is the operating pressure of the pipeline, d is the diameter of the pipeline, hc is the combustion heat of the hydrogen-doped gas,
Figure BDA0003435832870000063
Is the flow factor.
Specifically, the flow factor can be calculated from the specific heat ratio of the hydrogen-doped gas according to the following formula:
Figure BDA0003435832870000061
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure BDA0003435832870000062
is the flow factor and γ is the specific heat ratio of the hydrogen-doped gas.
In the embodiment of the disclosure, firstly, a hydrogen loading ratio of fuel gas in a fuel gas pipeline, a basic parameter of the fuel gas pipeline and a first reference coefficient set are obtained, then, a second reference coefficient is determined according to the hydrogen loading ratio of the fuel gas and the first reference coefficient in the first reference coefficient set, and then, a failure influence radius of the fuel gas pipeline is determined according to the second reference coefficient and the basic parameter of the fuel gas pipeline. Therefore, the method can quantify various influencing factors such as gas characteristics, leakage, heat radiation and the like according to the hydrogen loading proportion of the gas in the gas pipeline, namely the actual condition of conveying the gas medium, considering the heat radiation hazard range of pipeline failure, the shock wave hazard range caused by gas expansion when the pipeline explodes and the like, and further can accurately evaluate the influencing results of the pipeline failure, thereby realizing early warning.
Fig. 2 is a flow chart illustrating a method for determining a failure impact radius of a gas pipeline according to an embodiment of the present disclosure.
As shown in fig. 2, the method for determining the failure influence radius of the gas pipeline comprises the following steps:
s201, obtaining the hydrogen loading proportion of the fuel gas in the fuel gas pipeline, the basic parameters of the fuel gas pipeline and a first reference coefficient set.
S202, determining a second reference coefficient according to the hydrogen loading proportion of the fuel gas and the first reference coefficient in the first reference coefficient set.
S203, determining the failure influence radius of the gas pipeline according to the second reference coefficient and the basic parameters of the gas pipeline.
It should be noted that, the specific implementation manner of steps S201, S202, and S203 may refer to the above embodiment, and will not be described herein.
S204, determining the number of buildings within the failure influence radius of the gas pipeline.
After determining the failure influence radius of the gas pipeline, the failure influence range of the gas pipeline may be determined according to the failure influence radius.
In particular, after determining the scope of influence of the failure of the gas line, the number of buildings that may be affected in this scope can be determined, and the relative consequences of the failure of the line segment can be analyzed accordingly.
S203, determining potential hidden danger levels of the gas pipeline failure according to the number of the buildings.
It should be noted that the number of buildings is proportional to the potential hidden trouble level, that is, the greater the number of buildings, the higher the potential hidden trouble level.
Specifically, a certain mapping relationship may be set, for example, if the number of buildings is 0, the potential hidden danger level is lower, if the number of buildings is 1, the potential hidden danger level is lower, if the number of buildings is 2, the potential hidden danger level is middle, and if the number of buildings is 3 or more, the potential hidden danger level is higher, which is not limited herein.
In the embodiment of the disclosure, firstly, a hydrogen loading ratio of fuel gas in a fuel gas pipeline, basic parameters of the fuel gas pipeline and a first reference coefficient set are obtained, then, a second reference coefficient is determined according to the hydrogen loading ratio of the fuel gas and the first reference coefficient in the first reference coefficient set, then, a failure influence radius of the fuel gas pipeline is determined according to the second reference coefficient and the basic parameters of the fuel gas pipeline, then, the number of buildings in the failure influence radius of the fuel gas pipeline is determined, and finally, the potential hidden danger level of the fuel gas pipeline failure is determined according to the number of buildings. Therefore, according to a potential influence radius calculation formula which is coupled by multiple factors and is suitable for the failure of the hydrogen pipeline and the hydrogen-doped natural gas pipeline, the heat radiation hazard range caused by gas combustion and explosion, the shock wave hazard range caused by gas expansion during pipeline explosion and the like are considered, various influence factors such as gas characteristics, leakage, heat radiation and the like are quantized, the influence range of the failure of the hydrogen pipeline and the hydrogen-doped natural gas pipeline is rapidly estimated, the hazard caused by the failure of the pipeline is reduced, technical support and theoretical basis are provided for pipeline design and construction, and important engineering application values are realized.
As shown in fig. 3, the gas pipeline failure influence radius determining device 300 includes: the system comprises an acquisition module 330, a first determination module 320 and a second determination module 330.
An obtaining module 310, configured to obtain a hydrogen loading ratio of a gas in a gas pipeline, a basic parameter of the gas pipeline, and a first reference coefficient set;
a first determining module 320, configured to determine a second reference coefficient according to the hydrogen loading ratio of the fuel gas and a first reference coefficient in the first reference coefficient set;
a second determining module 330, configured to determine a failure impact radius of the gas pipeline according to the second reference coefficient and the basic parameter of the gas pipeline.
Optionally, the first determining module is specifically configured to:
determining a hydrogen-doped gas specific heat ratio according to the hydrogen-doped proportion, the hydrogen gas specific heat ratio and the methane gas specific heat ratio in the first reference coefficient set;
determining a hydrogen-doped gas molar mass from the hydrogen-loading ratio and the methane molar mass and the hydrogen molar mass of the first reference coefficient set;
determining a hydrogen-doped gas combustion heat based on the hydrogen-doped ratio and the methane combustion heat, the hydrogen combustion heat, the methane molar mass and the hydrogen molar mass in the first reference coefficient set;
and determining the gas sound velocity according to the specific heat ratio of the hydrogen-doped gas, the molar mass of the hydrogen-doped gas, the ideal gas constant in the first reference coefficient set and the gas temperature.
Optionally, the basic parameters of the gas pipeline comprise pipeline parameters and gas parameters;
wherein the pipe parameters include at least a pipe operating pressure and a pipe diameter;
wherein the gas parameters at least comprise combustion efficiency coefficient, radiation coefficient, release rate attenuation factor, leakage coefficient and critical heat flux.
Optionally, the second determining module is specifically configured to:
and determining the failure influence radius of the gas pipeline according to the pipeline operating pressure, the pipeline diameter, the combustion efficiency coefficient, the radiation coefficient, the release rate attenuation factor, the leakage coefficient, the critical heat flux, the specific heat ratio of the hydrogen-doped gas in the second reference coefficient, the gas sound velocity and the combustion heat of the hydrogen-doped gas.
Optionally, the second determining module is further configured to:
determining a number of buildings within a failure affecting radius of the gas duct;
and determining the potential hidden danger level of the gas pipeline failure according to the number of the buildings.
In the embodiment of the disclosure, firstly, a hydrogen loading ratio of fuel gas in a fuel gas pipeline, a basic parameter of the fuel gas pipeline and a first reference coefficient set are obtained, then, a second reference coefficient is determined according to the hydrogen loading ratio of the fuel gas and the first reference coefficient in the first reference coefficient set, and then, a failure influence radius of the fuel gas pipeline is determined according to the second reference coefficient and the basic parameter of the fuel gas pipeline. Therefore, the method can quantify various influencing factors such as gas characteristics, leakage, heat radiation and the like according to the hydrogen loading proportion of the gas in the gas pipeline, namely the actual condition of conveying the gas medium, considering the heat radiation hazard range of pipeline failure, the shock wave hazard range caused by gas expansion when the pipeline explodes and the like, and further can accurately evaluate the influencing results of the pipeline failure, thereby realizing early warning.
According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.
Fig. 4 illustrates a schematic block diagram of an example electronic device 400 that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 4, the apparatus 400 includes a computing unit 401 that can perform various suitable actions and processes according to a computer program stored in a Read Only Memory (ROM) 402 or a computer program loaded from a storage unit 408 into a Random Access Memory (RAM) 403. In RAM 403, various programs and data required for the operation of device 400 may also be stored. The computing unit 401, ROM 402, and RAM 403 are connected to each other by a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Various components in device 400 are connected to I/O interface 405, including: an input unit 406 such as a keyboard, a mouse, etc.; an output unit 407 such as various types of displays, speakers, and the like; a storage unit 408, such as a magnetic disk, optical disk, etc.; and a communication unit 409 such as a network card, modem, wireless communication transceiver, etc. The communication unit 409 allows the device 400 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The computing unit 401 may be a variety of general purpose and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 401 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The calculation unit 401 performs the respective methods and processes described above, such as a method of determining the gas pipe failure influence radius. For example, in some embodiments, the method of determining the gas pipeline failure impact radius may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 408. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 400 via the ROM 402 and/or the communication unit 409. When the computer program is loaded into RAM 403 and executed by the computing unit 401, one or more steps of the above-described method of determining the gas pipeline failure impact radius may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to perform the method of determining the gas duct failure impact radius in any other suitable way (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), the internet, and blockchain networks.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service ("Virtual Private Server" or simply "VPS") are overcome. The server may also be a server of a distributed system or a server that incorporates a blockchain.
In the embodiment of the disclosure, firstly, a hydrogen loading ratio of fuel gas in a fuel gas pipeline, a basic parameter of the fuel gas pipeline and a first reference coefficient set are obtained, then, a second reference coefficient is determined according to the hydrogen loading ratio of the fuel gas and the first reference coefficient in the first reference coefficient set, and then, a failure influence radius of the fuel gas pipeline is determined according to the second reference coefficient and the basic parameter of the fuel gas pipeline. Therefore, the method can quantify various influencing factors such as gas characteristics, leakage, heat radiation and the like according to the hydrogen loading proportion of the gas in the gas pipeline, namely the actual condition of conveying the gas medium, considering the heat radiation hazard range of pipeline failure, the shock wave hazard range caused by gas expansion when the pipeline explodes and the like, and further can accurately evaluate the influencing results of the pipeline failure, thereby realizing early warning.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions, improvements, etc. that are within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.

Claims (10)

1. A method for determining a radius of influence of a gas pipeline failure, comprising:
acquiring the hydrogen loading proportion of fuel gas in a fuel gas pipeline, basic parameters of the fuel gas pipeline and a first reference coefficient set;
determining a second reference coefficient according to the hydrogen loading proportion of the fuel gas and the first reference coefficient in the first reference coefficient set;
and determining the failure influence radius of the gas pipeline according to the second reference coefficient and the basic parameters of the gas pipeline.
2. The method of claim 1, wherein said determining a second reference factor based on the hydrogen loading of the fuel gas and a first reference factor of the first reference factor set comprises:
determining a hydrogen-doped gas specific heat ratio according to the hydrogen-doped proportion, the hydrogen gas specific heat ratio and the methane gas specific heat ratio in the first reference coefficient set;
determining a hydrogen-doped gas molar mass from the hydrogen-loading ratio and the methane molar mass and the hydrogen molar mass of the first reference coefficient set;
determining a hydrogen-doped gas combustion heat based on the hydrogen-doped ratio and the methane combustion heat, the hydrogen combustion heat, the methane molar mass and the hydrogen molar mass in the first reference coefficient set;
and determining the gas sound velocity according to the specific heat ratio of the hydrogen-doped gas, the molar mass of the hydrogen-doped gas, the ideal gas constant in the first reference coefficient set and the gas temperature.
3. The method of claim 1, wherein the base parameters of the gas pipeline include pipeline parameters and gas parameters;
wherein the pipe parameters include at least a pipe operating pressure and a pipe diameter;
wherein the gas parameters at least comprise combustion efficiency coefficient, radiation coefficient, release rate attenuation factor, leakage coefficient and critical heat flux.
4. A method according to claim 3, wherein said determining a failure affecting radius of said gas conduit based on said second reference factor and said basic parameters of said gas conduit comprises:
and determining the failure influence radius of the gas pipeline according to the pipeline operating pressure, the pipeline diameter, the combustion efficiency coefficient, the radiation coefficient, the release rate attenuation factor, the leakage coefficient, the critical heat flux, the specific heat ratio of the hydrogen-doped gas in the second reference coefficient, the gas sound velocity and the combustion heat of the hydrogen-doped gas.
5. The method of claim 1, further comprising, after said determining a failure affecting radius of said gas conduit:
determining a number of buildings within a failure affecting radius of the gas duct;
and determining the potential hidden danger level of the gas pipeline failure according to the number of the buildings.
6. A gas pipeline failure affecting radius determining device, comprising:
the acquisition module is used for acquiring the hydrogen loading proportion of the fuel gas in the fuel gas pipeline, the basic parameters of the fuel gas pipeline and the first reference coefficient set;
the first determining module is used for determining a second reference coefficient according to the hydrogen loading proportion of the fuel gas and the first reference coefficient in the first reference coefficient set;
and the second determining module is used for determining the failure influence radius of the gas pipeline according to the second reference coefficient and the basic parameter of the gas pipeline.
7. The apparatus of claim 6, wherein the first determining module is specifically configured to:
determining a hydrogen-doped gas specific heat ratio according to the hydrogen-doped proportion, the hydrogen gas specific heat ratio and the methane gas specific heat ratio in the first reference coefficient set;
determining a hydrogen-doped gas molar mass from the hydrogen-loading ratio and the methane molar mass and the hydrogen molar mass of the first reference coefficient set;
determining a hydrogen-doped gas combustion heat based on the hydrogen-doped ratio and the methane combustion heat, the hydrogen combustion heat, the methane molar mass and the hydrogen molar mass in the first reference coefficient set;
and determining the gas sound velocity according to the specific heat ratio of the hydrogen-doped gas, the molar mass of the hydrogen-doped gas, the ideal gas constant in the first reference coefficient set and the gas temperature.
8. The apparatus of claim 6, wherein the base parameters of the gas conduit include conduit parameters and gas parameters;
wherein the pipe parameters include at least a pipe operating pressure and a pipe diameter;
wherein the gas parameters at least comprise combustion efficiency coefficient, radiation coefficient, release rate attenuation factor, leakage coefficient and critical heat flux.
9. The apparatus of claim 8, wherein the second determining module is specifically configured to:
and determining the failure influence radius of the gas pipeline according to the pipeline operating pressure, the pipeline diameter, the combustion efficiency coefficient, the radiation coefficient, the release rate attenuation factor, the leakage coefficient, the critical heat flux, the specific heat ratio of the hydrogen-doped gas in the second reference coefficient, the gas sound velocity and the combustion heat of the hydrogen-doped gas.
10. The apparatus of claim 6, wherein the second determining module is further configured to:
determining a number of buildings within a failure affecting radius of the gas duct;
and determining the potential hidden danger level of the gas pipeline failure according to the number of the buildings.
CN202111613685.3A 2021-12-27 2021-12-27 Method, device, equipment and medium for determining gas pipeline failure influence radius Pending CN116415473A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111613685.3A CN116415473A (en) 2021-12-27 2021-12-27 Method, device, equipment and medium for determining gas pipeline failure influence radius

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111613685.3A CN116415473A (en) 2021-12-27 2021-12-27 Method, device, equipment and medium for determining gas pipeline failure influence radius

Publications (1)

Publication Number Publication Date
CN116415473A true CN116415473A (en) 2023-07-11

Family

ID=87049671

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111613685.3A Pending CN116415473A (en) 2021-12-27 2021-12-27 Method, device, equipment and medium for determining gas pipeline failure influence radius

Country Status (1)

Country Link
CN (1) CN116415473A (en)

Similar Documents

Publication Publication Date Title
CN116415473A (en) Method, device, equipment and medium for determining gas pipeline failure influence radius
CN113312560A (en) Group detection method and device and electronic equipment
CN113495825A (en) Line alarm processing method and device, electronic equipment and readable storage medium
CN110007648B (en) SIL determination method, SIL determination apparatus, and storage medium
CN116151470A (en) Product quality prediction method, device, equipment and storage medium
CN115809531A (en) Simulation method and system for natural gas pipe network, storage medium and electronic equipment
CN115689534A (en) Method, device, equipment and medium for managing equipment service life based on big data
CN113591095B (en) Identification information processing method and device and electronic equipment
CN116205352A (en) Prediction method and related device for gas pipeline fracture injection flame height
CN116991693B (en) Test method, device, equipment and storage medium
CN118013156A (en) Inert gas fire extinguishing system pressure relief opening area determination method and system
CN114237246B (en) Optimal inspection path determining method, device, medium and equipment
CN116302661B (en) Abnormality prediction method and device, electronic equipment and storage medium
CN117390365A (en) Method and device for determining total carbon emission weight under carbon emission double-control target
CN116341023B (en) Block chain-based service address verification method, device, equipment and storage medium
CN114268557B (en) Fault detection method, device, equipment and storage medium
CN116205264A (en) Method for realizing laser type ball passing counter of high-temperature gas cooled reactor nuclear power plant
US20200073965A1 (en) Method for determining gas rupture exposure radius value based on dispersion model
CN109115980B (en) Residual strength evaluation method for pitting pipeline based on seamless characterization model
CN117390307A (en) Method, device, equipment and storage medium for determining interest point information
CN113901451A (en) Link detection method and device, electronic equipment and storage medium
CN114647578A (en) System test method, device, equipment and storage medium
CN116340356A (en) Building data acquisition method, device, equipment and medium
CN117477543A (en) Power distribution system stability evaluation system, method and electronic equipment
CN117453628A (en) Application file management method, device equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination