Supervision method for realizing gas safety of courtyard pipe network and industrial and commercial users based on ultrasonic metering

Abstract

The present application relates to the technical field of courtyard pipe network, in particular to a method for realizing the supervision of the safety of courtyard pipe network and industrial and commercial user gas based on ultrasonic metering, which comprises the following steps: S1, collecting the point of interest data and night light image data of courtyards and industrial and commercial users; S2, dividing the courtyards and industrial and commercial user areas into grids based on the collected data, and dividing the courtyards and industrial and commercial users into functional areas based on the frequency density algorithm; S3, based on the results of the grid division and the functional area division, establishing a pipe network digital twin model and performing simulation calculation. The present application collects the point of interest data and night light image data of courtyards and industrial and commercial users, combines the frequency density algorithm to divide the courtyards and industrial and commercial users into functional areas, and then constructs a pipe network digital twin model and performs simulation calculation. This not only helps to accurately simulate the actual operating state of the gas pipe network, but also can discover potential safety hazards such as leakage, overpressure and other problems in advance.

Description

Technical Field

[0001] This invention relates to the field of courtyard pipe network technology, and more specifically, to a method for monitoring the gas safety of courtyard pipe networks and commercial users based on ultrasonic metering. Background Technology

[0002] With the extensive laying of gas pipelines in communities, the safety of gas pipeline networks has become increasingly prominent. Damage or leaks in gas pipelines not only pose a serious threat to the lives and property of the public but also challenge the deployment of emergency resources. Therefore, accelerating the construction of an emergency management system for gas pipeline emergencies in urban communities and adjusting the existing emergency resource layout are urgently needed. A review of existing research reveals that current domestic and international emergency risk analyses and emergency resource optimization efforts mostly focus on the city as a whole, lacking separate risk analyses for different functional areas within the city, such as risk analysis for gas pipeline emergencies in residential communities. Therefore, this paper proposes a method for monitoring gas safety in courtyard pipeline networks and for commercial and industrial users based on ultrasonic metering. Summary of the Invention

[0003] The purpose of this invention is to provide a method for monitoring the gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic metering, so as to solve the problem of the lack of separate risk analysis for existing gas pipelines mentioned in the background art.

[0004] To achieve the above objectives, the present invention aims to provide a method for monitoring the gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic metering, comprising the following steps:

[0005] S1. Collect point of interest data and nighttime light image data for courtyard and commercial users;

[0006] S2. Based on the collected data, the courtyard and commercial / industrial user areas are divided into grids, and the courtyard and commercial / industrial user areas are divided into functional zones based on the frequency density algorithm;

[0007] S3. Based on the results of gridding and functional area division, establish a digital twin model of the pipeline network and perform simulation calculations;

[0008] S4. Conduct risk analysis on courtyard pipe networks and commercial users based on the SAVEE model.

[0009] As a further improvement to this technical solution, step S1, collecting point-of-interest data from courtyard and commercial users, includes the following steps:

[0010] S1.1 Collect data on points of interest for courtyard and commercial users;

[0011] S1.2 Based on the similarities and differences between different points of interest, and combined with the functions of the courtyard and commercial user areas, classify the collected courtyard area point of interest data;

[0012] S1.3 Filter out repeated courtyard and commercial user interest points and delete courtyard interest point data with missing coordinate information.

[0013] S1.4 Collect nighttime light image data through the Earth data website and perform noise reduction processing;

[0014] S1.5 Collect the latest road data through the road map database website Open Street Map, classify the roads, and retain only the main routes.

[0015] As a further improvement to this technical solution, the frequency density algorithm in S2 is as follows:

[0016] ;

[0017] in, Indicates the first Points of interest; Represents the frequency of points of interest within a grid cell; Indicates the first cell The proportion of the frequency of one type of interest point to the total frequency of all types of interest points.

[0018] As a further improvement to this technical solution, in step S3, a digital twin model of the pipeline network is established and simulation calculations are performed, including the following steps:

[0019] S3.1 Define the pipeline object, gas source station object, user endpoint object, and tee object;

[0020] S3.2 Define the connection relationships between pipelines, gas source stations, user terminals and tees. Use an adjacency matrix to represent the topology of the pipeline network for easy searching and traversal. Create a new De315 PE medium-pressure pipeline between the two pipeline networks and define its connection relationships.

[0021] S3.3 Set the initial conditions for the pipeline object, gas source station object, and user endpoint, and set the boundary conditions;

[0022] S3.4. Use the continuity equation, momentum equation, and energy equation of fluid motion to establish a system of partial differential equations;

[0023] S3.5 For each pipe section, the friction coefficient is calculated using the CW equation. At each tee joint, the continuity equation and pressure balance equation are applied to ensure flow conservation and pressure balance.

[0024] S3.6 For each valve, calculate the pressure drop using the valve pressure drop formula.

[0025] As a further improvement to this technical solution, in S3.4, the system of partial differential equations is as follows:

[0026] ;

[0027] ;

[0028] ;

[0029] in, For density, For fluid velocity, For length, For time, For pressure, The inner diameter of the pipe. For the pipe section inclination angle, For internal energy, For the elevation difference, For enthalpy, It is the acceleration due to gravity. For heat transfer.

[0030] As a further improvement to this technical solution, in S3.5, the CW equation is:

[0031] ;

[0032] in, For absolute roughness, It is the Reynolds number; is the coefficient of friction.

[0033] As a further improvement to this technical solution, in S3.5, the continuity equation and the pressure balance equation are as follows:

[0034] Continuity equation:

[0035] ;

[0036] Pressure balance equation:

[0037] ;

[0038] in, This indicates the flow rate of the first pipe entering the tee junction; This indicates the flow rate entering the second pipe of the tee junction; This indicates the flow rate entering the second pipe of the tee junction; This indicates the pressure of the first pipe at the tee junction; This indicates the pressure in the second pipe at the tee junction; This indicates the pressure of the third pipe at the tee junction.

[0039] As a further improvement to this technical solution, in S3.6, the valve pressure drop formula is as follows:

[0040] ;

[0041] in, For pipeline pressure drop, This is the valve coefficient.

[0042] As a further improvement to this technical solution, in step S4, risk analysis is performed on the courtyard pipe network and commercial users based on the SAVEE model, including the following steps:

[0043] S4.1 The collected nighttime light image data (NPP / VIIRS) is divided into three levels from high to low using the natural discontinuity method;

[0044] S4.2 In the SAVEE model, set the boundary values ​​for each type of functional area. Considering the differences in the impact of risk factors on the degree of risk for each type of courtyard and commercial user gas pipeline emergency, assign weights to them. The weighted risk factors are calculated according to the superposition model to finally obtain the comprehensive risk assessment of courtyard and commercial user gas pipeline emergency.

[0045] As a further improvement to this technical solution, in S4.2, the SAVEE model is as follows:

[0046] ;

[0047] Where V represents standardized value. X is the independent variable. A is a boundary value of X;

[0048] The superposition model is:

[0049] ;

[0050] in, For the standardized value of factors, ; For the standardized value of factor b, ; As a factor The value of adding b together.

[0051] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0052] This method for monitoring gas safety in courtyard gas pipelines and commercial and industrial users based on ultrasonic metering collects point-of-interest (POI) data and nighttime light imagery data from courtyards and commercial and industrial users. Combined with a frequency density algorithm, functional zones are divided for these areas, and a digital twin model of the pipeline network is constructed and simulated. This not only helps to accurately simulate the actual operating state of the gas pipeline network but also allows for the early detection of potential safety hazards, such as leaks and overpressure. Furthermore, risk analysis based on the SAVEE model can more accurately assess the risk of gas pipeline emergencies in different functional zones, enabling targeted preventative measures and significantly improving the safety and reliability of the gas pipeline network. Attached Figure Description

[0053] Figure 1 This is a flowchart of the overall method of the present invention. Detailed Implementation

[0054] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0055] Example: Please refer to Figure 1 As shown, this embodiment provides a method for monitoring the gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic metering, including the following steps:

[0056] S1. Collect Points of Interest (POI) data and nighttime light imagery data (NPP / VIIRS) for courtyard and commercial users.

[0057] In this embodiment, collecting Points of Interest (POI) data for the courtyard includes the following steps:

[0058] S1.1 Collect Points of Interest (POI) data from courtyard and commercial users. The POI data comes from open source data provided by Baidu Maps, including public attributes such as point name, type (major category, sub-category), address, location, and coordinates.

[0059] S1.2 Based on the similarities and differences between different Points of Interest (POIs), and combined with the functions of courtyard and commercial user areas, classify the collected Points of Interest (POI) data of courtyard and commercial user areas;

[0060] S1.3 Filter out repeated courtyard and commercial user point of interest (POI) points, and delete courtyard and commercial user point of interest (POI) data with missing coordinate information to ensure the accuracy of the final division results.

[0061] S1.4 Collect nighttime light image data (NPP / VIIRS) through the Earth data website and perform noise reduction processing;

[0062] S1.5 Collect the latest road data through the road map database website Open Street Map, classify the roads, and retain only the main routes.

[0063] S2. Based on the collected data, the courtyard and commercial / industrial user areas are divided into grids, and the courtyard and commercial / industrial user areas are divided into functional zones based on the frequency density algorithm;

[0064] In this embodiment, the frequency density algorithm is as follows:

[0065] ;

[0066] in, Indicates the first Points of interest; Represents the frequency of points of interest within a grid cell; Indicates the first cell The proportion of the frequency of one type of interest point to the total frequency of all types of interest points.

[0067] S3. Based on the results of gridding and functional area division, establish a digital twin model of the pipeline network and perform simulation calculations;

[0068] In this embodiment, the Finite Volume Method (FVM) is used to discretize the partial differential equations of fluid motion. The spatial term in the discretized equations uses the improved Godunov scheme, while the time term uses the classic RK45 scheme. The solution process involves first decomposing the pipeline network into different "objects," then assigning different attribute information (such as pipe number, length, inner diameter, roughness, etc.) and connection attributes to each component to each object. Next, the pipeline network is initialized, and calculation parameters and boundary conditions are assigned values. After setting the iterative control parameters, the objects are traversed until the pipeline network calculation reaches a steady-state result. A digital twin model of the pipeline network is then established, and simulation calculations are performed, including the following steps:

[0069] S3.1 Define the pipeline object, gas source station object, user endpoint object, and tee object;

[0070] S3.2 Define the connection relationships between pipelines, gas source stations, user terminals and tees. Use an adjacency matrix to represent the topology of the pipeline network to facilitate searching and traversal. Create a new De315 PE medium-pressure pipeline between the two pipeline networks and define its connection relationships to ensure that its connection relationship with the existing pipeline network is clear.

[0071] S3.3 Set the initial conditions for the pipeline object, gas source station object, and user endpoint, and set the boundary conditions;

[0072] S3.4. Use the continuity equation, momentum equation, and energy equation of fluid motion to establish a system of partial differential equations;

[0073] Furthermore, the system of partial differential equations is as follows:

[0074] ;

[0075] ;

[0076] ;

[0077] in, For density, For fluid velocity, For length, For time, For pressure, The inner diameter of the pipe. For the pipe section inclination angle, For internal energy, For the elevation difference, For enthalpy, It is the acceleration due to gravity. For heat transfer.

[0078] S3.5 For each pipe section, the friction coefficient is calculated using the CW equation. At each tee joint, the continuity equation and pressure balance equation are applied to ensure flow conservation and pressure balance.

[0079] Furthermore, the CW equation is:

[0080] ;

[0081] in, For absolute roughness, It is the Reynolds number; is the coefficient of friction.

[0082] Furthermore, the continuity equation and the pressure balance equation are as follows:

[0083] Continuity equation:

[0084] ;

[0085] Pressure balance equation:

[0086] ;

[0087] in, This indicates the flow rate of the first pipe entering the tee junction; This indicates the flow rate entering the second pipe of the tee junction; This indicates the flow rate entering the second pipe of the tee junction; This indicates the pressure of the first pipe at the tee junction; This indicates the pressure in the second pipe at the tee junction; This indicates the pressure of the third pipe at the tee junction.

[0088] S3.6 For each valve, calculate the pressure drop using the valve pressure drop formula.

[0089] Furthermore, the valve pressure drop formula is:

[0090] ;

[0091] in, For pipeline pressure drop, This is the valve coefficient, which is related to the valve's form and structure.

[0092] S4. Conduct risk analysis on courtyard pipe networks and commercial and industrial users based on the SAVEE model;

[0093] In this embodiment, risk analysis is performed on the courtyard pipe network and commercial users based on the SAVEE model, including the following steps:

[0094] S4.1 The collected nighttime light image data (NPP / VIIRS) is divided into three levels from high to low using the natural discontinuity method;

[0095] S4.2 In the SAVEE model, boundary values ​​are set for each type of functional area to maintain the consistency of the measurement units of the analysis results. Considering the differences in the impact of risk factors on the degree of risk for each type of courtyard and commercial user gas pipeline emergency, weights are assigned to them. Each type of risk factor after weighting is calculated according to the superposition model, and finally a comprehensive risk assessment of courtyard and commercial user gas pipeline emergency is obtained.

[0096] Furthermore, the SAVEE model is as follows:

[0097] ;

[0098] Where V represents standardized value. X is the independent variable. A is a boundary value of X;

[0099] The superposition model is:

[0100] ;

[0101] in, For the standardized value of factors, ; For the standardized value of factor b, ; As a factor The value of adding b together.

[0102] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention.

Claims

1. A method for supervising the gas safety of courtyard pipe networks and commercial and industrial users based on ultrasonic metering, characterized in that, Includes the following steps: S1. Collect point of interest data and nighttime light image data for courtyard and commercial users; S2. Based on the collected data, the courtyard and commercial / industrial user areas are divided into grids, and the courtyard and commercial / industrial user areas are divided into functional zones based on the frequency density algorithm; S3. Based on the results of gridding and functional area division, establish a digital twin model of the pipeline network and perform simulation calculations; S4. Conduct risk analysis on courtyard pipe networks and commercial and industrial users based on the SAVEE model; In S2, the frequency density algorithm is as follows: ； in, Indicates the first Points of interest; This represents the frequency of points of interest within a grid cell; Indicates the first cell The proportion of the frequency of one type of interest point to the total frequency of all types of interest points; In step S3, a digital twin model of the pipeline network is established and simulation calculations are performed, including the following steps: S3.1 Define the pipeline object, gas source station object, user endpoint object, and tee object; S3.2 Define the connection relationships between pipelines, gas source stations, user terminals and tees. Use an adjacency matrix to represent the topology of the pipeline network for easy searching and traversal. Create a new De315 PE medium-pressure pipeline between the two pipeline networks and define its connection relationships. S3.3 Set the initial conditions for the pipeline object, gas source station object, and user endpoint, and set the boundary conditions; S3.

4. Use the continuity equation, momentum equation, and energy equation of fluid motion to establish a system of partial differential equations; S3.5 For each pipe section, the friction coefficient is calculated using the CW equation. At each tee joint, the continuity equation and pressure balance equation are applied to ensure flow conservation and pressure balance. S3.6 For each valve, calculate the pressure drop using the valve pressure drop formula; In step S4, risk analysis is performed on the courtyard pipe network and commercial users based on the SAVEE model, including the following steps: S4.1 The collected nighttime light image data is divided into three levels from high to low using the natural discontinuity method; S4.2 In the SAVEE model, set the boundary value for each type of functional area. Considering the differences in the impact of risk factors on the degree of risk for each type of courtyard and commercial user gas pipeline emergency, assign weights to them. The weighted risk factors are calculated according to the superposition model to finally obtain the comprehensive risk assessment of courtyard and commercial user gas pipeline emergency.

2. The method for supervising the gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic metering according to claim 1, characterized in that: In step S1, collecting point-of-interest data and nighttime light image data from courtyards and commercial users includes the following steps: S1.1 Collect data on points of interest for courtyard and commercial users; S1.2 Based on the similarities and differences between different points of interest, and combined with the functions of the courtyard and commercial user areas, classify the collected courtyard area point of interest data; S1.3 Filter out repeated courtyard and commercial user interest points and delete courtyard interest point data with missing coordinate information; S1.4 Collect nighttime light image data through the Earth data website and perform noise reduction processing; S1.5 Collect the latest road data through the road map database website Open Street Map, classify the roads, and retain only the main routes.

3. The method for supervising the gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic metering according to claim 1, characterized in that: In S3.4, the system of partial differential equations is as follows: ； ； ； in, For density, For fluid velocity, For length, For time, For pressure, The inner diameter of the pipe. For the pipe section inclination angle, For internal energy, For the elevation difference, For enthalpy, It is the acceleration due to gravity. For heat transfer.

4. The method for supervising the gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic metering according to claim 3, characterized in that: In S3.5, the CW equation is: ； in, For absolute roughness, It is the Reynolds number; is the coefficient of friction.

5. The method for supervising the gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic metering according to claim 4, characterized in that: In S3.5, the continuity equation and the pressure balance equation are: Continuity equation: ； Pressure balance equation: ； in, This indicates the flow rate of the first pipe entering the tee junction; This indicates the flow rate entering the second pipe of the tee junction; This indicates the flow rate entering the third pipe at the tee junction; This indicates the pressure of the first pipe at the tee junction; This indicates the pressure in the second pipe at the tee junction; This indicates the pressure of the third pipe at the tee junction.

6. The method for monitoring gas safety in courtyard pipe networks and industrial and commercial users based on ultrasonic metering according to claim 5, characterized in that: In S3.6, the valve pressure drop formula is as follows: ； in, For pipeline pressure drop, This is the valve coefficient.

7. The method for supervising the gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic metering according to claim 1, characterized in that: In S4.2, the SAVEE model is as follows: ； in, For standardized value, ; As the independent variable, ; for Boundary values; The superposition model is: ； in, The standardized value of factor a, ; For the standardized value of factor b, ; This is the value of the sum of factors a and b.

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