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

Abstract

The invention relates to the technical field of courtyard pipe networks, in particular to a method for supervising fuel gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic measurement. The method comprises the following steps: S1, collecting interest point data and night light image data of courtyards and industrial and commercial users; s2, dividing courtyard and industrial and commercial user areas into grids based on the collected data, and performing functional area division on the courtyard and industrial and commercial users based on a frequency density algorithm; and S3, establishing a pipe network digital twinborn model based on gridding and functional area division results, and performing simulation calculation. According to the design, interest point data and night light image data of courtyards and industrial and commercial users are collected, functional area division is carried out on the courtyards and the industrial and commercial users in combination with a frequency density algorithm, and then a pipe network digital twinborn model is constructed and simulation calculation is carried out. Therefore, the actual operation state of the gas pipe network can be accurately simulated, and potential safety hazards such as leakage and overpressure can be found in advance.

Description

Technical Field

[0001] The present invention relates to the technical field of courtyard pipe networks, and in particular to a method for supervising the safety of gas in courtyard pipe networks and industrial and commercial users based on ultrasonic metering. Background Art

[0002] With the large-scale laying of community gas pipelines, the safety of gas pipeline networks has become increasingly prominent. Once the gas pipelines are damaged or leaked, it will not only pose a serious threat to the lives and property safety of the people, but also bring challenges to the layout of emergency resources. At present, civil gas pipelines in my country are rapidly becoming popular in urban communities, accompanied by frequent emergencies (leakage, fire, explosion, etc.) of urban community gas pipelines. It is urgent to accelerate the construction of emergency management systems for urban community gas pipeline emergencies and adjust the existing emergency resource layout. Looking at the above existing studies, it is found that the current emergency risk analysis and emergency resource layout optimization conducted at home and abroad are mostly aimed at the city as a whole, lacking separate risk analysis of different functional areas within the city, such as risk analysis of gas pipeline emergencies in residential communities. Therefore, a supervision method for gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic metering is provided. Summary of the invention

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

[0004] To achieve the above object, the present invention aims to provide a method for supervising gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic measurement, comprising the following steps: S1, collects data on points of interest and nighttime light images from courtyard and industrial and commercial users; S2, based on the collected data, the courtyard and industrial and commercial user areas are divided into grids, and the courtyard and industrial and commercial user areas are divided into functional areas based on the frequency density algorithm; S3. Based on the results of gridding and functional area division, a digital twin model of the pipeline network is established to perform simulation calculations; S4. Conduct risk analysis on courtyard pipe networks and industrial and commercial users based on the SAVEE model.

[0005] As a further improvement of the technical solution, in S1, collecting the point of interest data of courtyard and industrial and commercial users includes the following steps: S1.1. Collect data on points of interest for courtyard and industrial and commercial users; S1.2, based on the similarities and differences between different points of interest, combined with the functions of the courtyard and industrial and commercial user areas, the collected courtyard area point of interest data are classified; S1.3. Screen the courtyard and business user points of interest that are repeated multiple times, and delete the courtyard point of interest 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 only retain the main routes.

[0006] As a further improvement of the technical solution, in S2, the frequency density algorithm is: ; in, Indicates Points of interest; Indicates the frequency of points of interest within the grid cell; Indicates the cell The frequency of a type of interest point accounts for the proportion of the frequency of all types of interest points.

[0007] As a further improvement of the technical solution, in S3, a digital twin model of the pipeline network is established and simulation calculation is performed, including the following steps: S3.1. Define pipeline objects, gas source site objects, user endpoint objects and tee objects; S3.2, define the connection relationship between pipelines, gas source sites, user endpoints and tees, use the adjacency matrix to represent the topological structure of the pipeline network, which is convenient for searching and traversing, build a new De315 PE medium-pressure pipeline between the two pipeline networks, and define its connection relationship; S3.3, set the initial conditions of the pipeline object, gas source site object, and user endpoint, and set the boundary conditions; S3.4. Use the continuity equation, momentum equation, and energy equation for fluid motion to establish a system of partial differential equations; S3.5. For each pipe segment, calculate the friction coefficient using the CW equation. At each tee node, apply the continuity equation and the pressure balance equation to ensure flow conservation and pressure balance. S3.6. For each valve, calculate the pressure drop using the valve pressure drop formula.

[0008] As a further improvement of the technical solution, in S3.4, the partial differential equation group is: ; ; ; in, is the density, is the fluid flow rate, is the length, For time, For pressure, is the inner diameter of the pipe, is the pipe section inclination angle, is the specific internal energy, is the height difference, is the specific enthalpy, is the acceleration due to gravity, For heat transfer.

[0009] As a further improvement of the technical solution, in S3.5, the CW equation is: ; in, is the absolute roughness, is the Reynolds number; is the friction coefficient.

[0010] As a further improvement of the technical solution, in S3.5, the continuity equation and the pressure balance equation are: Continuity equation: ; Pressure balance equation: ; in, represents the flow rate of the first pipe entering the tee node; represents the flow rate of the second pipe entering the tee node; represents the flow rate of the second pipe entering the tee node; represents the pressure of the first pipeline at the tee node; represents the pressure of the second pipeline at the tee node; Represents the pressure of the third pipe at the tee node.

[0011] As a further improvement of the technical solution, in S3.6, the valve pressure drop formula is: ; in, is the pipeline pressure drop, is the valve coefficient.

[0012] As a further improvement of the technical solution, in S4, risk analysis of the courtyard pipe network and industrial and commercial users is performed based on the SAVEE model, including the following steps: S4.1. The collected night light image data (NPP / VIIRS) are divided into three levels from high to low using the natural breaks method; S4.2. In the SAVEE model, the boundary values ​​of each functional area are set. Considering the differences in the impact of each type of risk factor of sudden incidents in the gas pipelines of courtyards and industrial and commercial users on the risk level, weights are assigned to them. Each type of weighted risk factor is calculated according to the superposition model, and finally a comprehensive evaluation of the risk of sudden incidents in the gas pipelines of courtyards and industrial and commercial users is obtained.

[0013] As a further improvement of the technical solution, in S4.2, the SAVEE model is: ; Where V is the standardized value, ; X is the independent variable, ; A is the boundary value of X; The superposition model is: ; in, is the standardized value of the factor, ; is the standardized value of factor b, ; Factor The value after superposition of a and b.

[0014] Compared with the prior art, the present invention has the following beneficial effects: In this method of supervising the gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic metering, the point of interest data and night light image data of courtyard and industrial and commercial users are collected, and the functional areas of courtyard and industrial and commercial users are divided in combination with the frequency density algorithm, and then a digital twin model of the pipe network is constructed and simulated. This not only helps to accurately simulate the actual operating status of the gas pipe network, but also can discover potential safety hazards in advance, such as leakage, overpressure and other problems. In addition, risk analysis based on the SAVEE model can more accurately assess the risk of gas pipeline emergencies in different functional areas, so as to take targeted preventive measures and significantly improve the safety and reliability of the gas pipe network. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 The figure is a flow chart of the overall method of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] Example: See Figure 1 As shown, this embodiment provides a method for supervising gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic metering, including the following steps: S1. Collect point of interest (POI) data and night light image data (NPP / VIIRS) of courtyard and industrial and commercial users; In this embodiment, collecting the point of interest (POI) data of the courtyard includes the following steps: S1.1. Collect the point of interest (POI) data of courtyard and industrial and commercial users. The POI data comes from the open source data provided by Baidu Maps, including the name, type (large category, medium category), address, location, coordinates and other public attributes; S1.2, according to the similarities and differences between different points of interest (POIs), combined with the functions of courtyards and industrial and commercial user areas, the collected POI data of courtyards and industrial and commercial user areas are classified; S1.3. Screen the repeated courtyards and points of interest (POI) of industrial and commercial users, and delete the courtyards and points of interest (POI) of industrial and commercial users with missing coordinate information to ensure the accuracy of the final division results; S1.4. Collect night light image data (NPP / VIIRS) 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 only retain the main routes.

[0018] S2, based on the collected data, the courtyard and industrial and commercial user areas are divided into grids, and the courtyard and industrial and commercial user areas are divided into functional areas based on the frequency density algorithm; In this embodiment, the frequency density algorithm is: ; in, Indicates Points of interest; Indicates the frequency of points of interest within the grid cell; Indicates the cell The frequency of a type of interest point accounts for the proportion of the frequency of all types of interest points.

[0019] S3. Based on the results of gridding and functional area division, a digital twin model of the pipeline network is established to perform simulation calculations; In this embodiment, the finite volume method (FVM) is used to discretize the partial differential equations of fluid motion. In the format of the discrete equation, the space term uses the improved Godunov format, and the time term uses the classic RK45 format. The solution process is to first disassemble the pipeline network into different "objects", and then assign different attribute information (such as pipeline number, length, inner diameter, roughness, etc.) and connection properties of each component to the objects, and then initialize the pipeline network, assign calculation parameters and boundary conditions, set the iterative control parameters, and then carry out the traversal calculation of the object until the pipeline network calculation reaches a steady-state result, establish a digital twin model of the pipeline network, and perform simulation calculations, including the following steps: S3.1. Define pipeline objects, gas source site objects, user endpoint objects and tee objects; S3.2, define the connection relationship between pipelines, gas source sites, user endpoints and tees, use the adjacency matrix to represent the topological structure of the pipeline network, facilitate search and traversal, build a new De315 PE medium-pressure pipeline between the two pipeline networks, define its connection relationship, and ensure that its connection relationship with the existing pipeline network is clear; S3.3, set the initial conditions of the pipeline object, gas source site object, and user endpoint, and set the boundary conditions; S3.4. Use the continuity equation, momentum equation, and energy equation for fluid motion to establish a system of partial differential equations; Furthermore, the partial differential equations are: ; ; ; in, is the density, is the fluid flow rate, is the length, For time, For pressure, is the inner diameter of the pipe, is the pipe section inclination angle, is the specific internal energy, is the height difference, is the specific enthalpy, is the acceleration due to gravity, For heat transfer.

[0020] S3.5. For each pipe segment, calculate the friction coefficient using the CW equation. At each tee node, apply the continuity equation and the pressure balance equation to ensure flow conservation and pressure balance. Furthermore, the CW equation is: ; in, is the absolute roughness, is the Reynolds number; is the friction coefficient.

[0021] Furthermore, the continuity equation and pressure balance equation are: Continuity equation: ; Pressure balance equation: ; in, represents the flow rate of the first pipe entering the tee node; represents the flow rate of the second pipe entering the tee node; represents the flow rate of the second pipe entering the tee node; represents the pressure of the first pipeline at the tee node; represents the pressure of the second pipeline at the tee node; Represents the pressure of the third pipe at the tee node.

[0022] S3.6. For each valve, calculate the pressure drop using the valve pressure drop formula.

[0023] Further, the valve pressure drop formula is: ; in, is the pipeline pressure drop, It is the valve coefficient, which is related to the valve form and structure.

[0024] S4. Conduct risk analysis on courtyard pipe networks and industrial and commercial users based on the SAVEE model; In this embodiment, risk analysis of courtyard pipe networks and industrial and commercial users is performed based on the SAVEE model, including the following steps: S4.1. The collected night light image data (NPP / VIIRS) are divided into three levels from high to low using the natural breaks method; S4.2. In the SAVEE model, the boundary value of each functional area is set to maintain the consistency of the measurement unit of the analysis results. Considering the difference in the impact of each type of risk factor of gas pipeline emergencies on the risk level of courtyards and industrial and commercial users, weights are assigned to them. The weighted risk factors of each type are calculated according to the superposition model, and finally a comprehensive evaluation of the risk of gas pipeline emergencies in courtyards and industrial and commercial users is obtained; Furthermore, the SAVEE model is: ; Where V is the standardized value, ; X is the independent variable, ; A is the boundary value of X; The superposition model is: ; in, is the standardized value of the factor, ; is the standardized value of factor b, ; Factor The value after superposition of a and b.

[0025] The above shows and describes 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 by the above embodiments, and the above embodiments and descriptions are only preferred examples of the present invention, and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. A method for supervising gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic measurement, characterized in that: The following steps are involved: S1, collects data on points of interest and nighttime light images from courtyard and industrial and commercial users; S2, based on the collected data, the courtyard and industrial and commercial user areas are divided into grids, and the courtyard and industrial and commercial user areas are divided into functional areas based on the frequency density algorithm; S3. Based on the results of gridding and functional area division, a digital twin model of the pipeline network is established to perform simulation calculations; S4. Conduct risk analysis on courtyard pipe networks and industrial and commercial users based on the SAVEE model.

2. The method for supervising gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic measurement according to claim 1 is characterized in that: In S1, collecting the point of interest data of courtyard and industrial and commercial users includes the following steps: S1.

1. Collect data on points of interest for courtyard and industrial and commercial users; S1.2, based on the similarities and differences between different points of interest, combined with the functions of the courtyard and industrial and commercial user areas, the collected courtyard area point of interest data are classified; S1.

3. Screen the courtyard and business user points of interest that are repeated multiple times, and delete the courtyard point of interest 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 only retain the main routes.

3. The method for supervising gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic measurement according to claim 2 is characterized in that: In S2, the frequency density algorithm is: ； in, Indicates Points of interest; Indicates the frequency of points of interest within the grid cell; Indicates the cell The ratio of the frequency of a type of interest point to the frequency of all types of interest points.

4. The method for supervising gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic measurement according to claim 3 is characterized in that: In S3, a digital twin model of the pipeline network is established and simulation calculation is performed, including the following steps: S3.

1. Define pipeline objects, gas source site objects, user endpoint objects and tee objects; S3.2, define the connection relationship between pipelines, gas source sites, user endpoints and tees, use the adjacency matrix to represent the topological structure of the pipeline network, which is convenient for searching and traversing, build a new De315 PE medium-pressure pipeline between the two pipeline networks, and define its connection relationship; S3.3, set the initial conditions of the pipeline object, gas source site object, and user endpoint, and set the boundary conditions; S3.

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

5. For each pipe segment, calculate the friction coefficient using the CW equation. At each tee node, apply the continuity equation and the pressure balance equation to ensure flow conservation and pressure balance. S3.

6. For each valve, calculate the pressure drop using the valve pressure drop formula.

5. The method for supervising gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic measurement according to claim 4 is characterized in that: In S3.4, the partial differential equations are: ； ； ； in, is the density, is the fluid flow rate, is the length, For time, For pressure, is the inner diameter of the pipe, is the pipe section inclination angle, is the specific internal energy, is the height difference, is the specific enthalpy, is the acceleration due to gravity, For heat transfer.

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

7. The method for supervising gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic measurement according to claim 6 is characterized in that: In S3.5, the continuity equation and the pressure balance equation are: Continuity equation: ； Pressure balance equation: ； in, represents the flow rate of the first pipe entering the tee node; represents the flow rate of the second pipe entering the tee node; represents the flow rate of the second pipe entering the tee node; represents the pressure of the first pipeline at the tee node; represents the pressure of the second pipeline at the tee node; Represents the pressure of the third pipe at the tee node.

8. The method for supervising gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic measurement according to claim 7 is characterized in that: In S3.6, the valve pressure drop formula is: ； in, is the pipeline pressure drop, is the valve coefficient.

9. The method for supervising gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic measurement according to claim 8 is characterized in that: In S4, risk analysis of the courtyard pipe network and industrial and commercial users is performed based on the SAVEE model, including the following steps: S4.

1. The collected nighttime light image data are divided into three levels from high to low using the natural break method; S4.

2. In the SAVEE model, the boundary values ​​of each functional area are set. Considering the differences in the impact of each type of risk factor of sudden incidents in the gas pipelines of courtyards and industrial and commercial users on the risk level, weights are assigned to them. Each type of weighted risk factor is calculated according to the superposition model, and finally a comprehensive evaluation of the risk of sudden incidents in the gas pipelines of courtyards and industrial and commercial users is obtained.

10. The method for supervising gas safety of courtyard pipe networks and industrial and commercial users based on ultrasonic measurement according to claim 9 is characterized in that: In S4.2, the SAVEE model is: ； Where V is the standardized value, ; X is the independent variable, ; A is the boundary value of X; The superposition model is: ； in, is the standardized value of the factor, ; is the standardized value of factor b, ; Factor The value after superposition of a and b.

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