Fuel gas intelligent decision-making auxiliary analysis system

Abstract

The invention provides a fuel gas intelligent decision-making auxiliary analysis system, and the system comprises a data preprocessing layer which is used for collecting fuel gas data; cleaning and summarizing gas data; the data analysis layer is used for checking the state of a gas pipe network by using the gas data; the method specifically comprises the following steps: checking gas data integrity and pipe network connectivity; querying equipment parameters and spatial positioning; evaluating the hydraulic characteristics of the gas pipe network; pipe network collision detection is carried out; calculating the gas storage amount of the pipe network; the visual analysis layer is used for performing traceability analysis and visual display by using the gas data; the traceability analysis is used for analyzing the safety problem of the gas pipeline and querying an upstream pipeline according to a pipe network topological relation; and visual display is used for displaying the traceability analysis result through a map. The gas pipeline network is monitored in an all-around and multi-level mode, analysis and decision support is provided for the gas pipeline network, and the safety of a gas system is enhanced.

Description

Technical Field

[0001] The present disclosure relates to the field of information technology application and intelligent management in the gas industry, and more specifically to a gas intelligent decision-making auxiliary analysis system. Background Art

[0002] In traditional gas management, the monitoring, maintenance and decision-making of pipeline networks often rely on manual inspections, empirical judgments and simple data analysis, which has many limitations. For example, manual inspections are inefficient and difficult to cover all key areas; empirical judgments are highly subjective and lack unified standards; and simple data analysis is often limited to surface phenomena and difficult to dig deep into potential problems and risks.

[0003] With the rapid development of information technology, especially the widespread application of GIS, big data, cloud computing and artificial intelligence, the gas industry has ushered in an opportunity for intelligent transformation. GIS technology provides accurate spatial location information for the gas pipeline network, making analysis based on geographic location possible; big data technology can process massive amounts of gas operation data and reveal the laws and trends behind the data; artificial intelligence algorithms can simulate the decision-making process of human experts and realize intelligent early warning, analysis and decision-making.

[0004] However, although these technologies have brought unprecedented opportunities for gas management, how to effectively integrate these technologies to form a complete, efficient and intelligent gas decision-making support analysis system is still a major challenge facing the current gas industry. Summary of the invention

[0005] In view of the above problems, the present disclosure provides a highly integrated and intelligent gas intelligent decision-making auxiliary analysis system.

[0006] The present disclosure provides a gas intelligent decision-making auxiliary analysis system, including: a data preprocessing layer, which is used to collect gas data; clean and summarize gas data; the gas data at least includes equipment parameters, pipeline network topology, gas pipeline design parameters and layout diagrams, real-time operation data and historical operation data; a data analysis layer, which is used to use gas data to check the status of the gas pipeline network; specifically includes: checking the integrity of gas data and pipeline network connectivity; querying equipment parameters and spatial positioning; evaluating the hydraulic characteristics of the gas pipeline network; performing pipeline network collision detection; calculating the gas storage capacity of the pipeline network; a visual analysis layer, which is used to use gas data to perform traceability analysis and visual display; traceability analysis is used to analyze the safety issues of the gas pipeline and query the upstream pipeline according to the pipeline network topology; visual display is used to display the traceability analysis results through a map.

[0007] According to an embodiment of the present disclosure, the data analysis layer includes at least one of a data quality analysis module, a spatial position analysis module, a hydraulic characteristic analysis module, a spatial conflict detection analysis module and a storage utilization analysis module; the data quality analysis module is used to use the gas data list to count and locate missing data; the network topology relationship is used to check isolated points, hanging lines and network connectivity; the spatial position analysis module is used to analyze the shape and properties of the pipeline in the horizontal and vertical directions through cross-sections and longitudinal sections; in response to a point on the map being clicked, query the device parameters of the associated device; the associated device at least includes a modulation One of the pressure box, pressure regulating cabinet, and riser; a hydraulic characteristic analysis module, which is used to use gas data to establish a mathematical model of the gas pipeline network for evaluating the water-gas mixing condition, pressure loss and aerodynamic stability of the airflow in the pipeline; the mathematical model of the gas pipeline network is used to calculate the pressure and flow at each point in the pipeline network through the gas data; a spatial conflict detection analysis module, which is used to use the design parameters and layout diagram to perform gas pipeline collision detection according to the preset vertical and horizontal collision distance thresholds between pipelines; a storage utilization analysis module, which is used to calculate the pipeline inventory at a preset time by calling the pipeline inventory algorithm using real-time operation data and historical operation data.

[0008] According to an embodiment of the present disclosure, the data quality analysis module includes at least one of a data inspection unit, an isolated point inspection unit, a hanging line inspection unit and a pipe network connectivity inspection unit; the data inspection unit is used to use the gas data list to check whether the data is missing; use a line chart to count the missing data; search and locate the position of the missing data; the isolated point inspection unit is used to check the isolated points through the pipe network topology relationship in response to selecting the isolated point inspection range; display the isolated points through the attribute table and highlight them; the hanging line inspection unit is used to check the hanging lines through the pipe network topology relationship in response to selecting the hanging line inspection range; display the hanging lines through the attribute table and highlight them; the pipe network connectivity inspection unit is used to obtain the viewed pipe network set through the pipe network topology relationship.

[0009] According to an embodiment of the present disclosure, the spatial position analysis module includes a cross-section analysis unit, a longitudinal section analysis unit, a pressure regulating box / cabinet positioning unit and a riser positioning unit; the cross-section analysis unit is used to cut the gas pipeline using the cross-section line to obtain the cross-section; the cross-section pipeline information is extracted using the spatial analysis function of the geographic information system; the cross-section pipeline information includes at least one of the position of the pipeline on the cross-section, the change in pipe diameter and the buried depth; the longitudinal section analysis unit is used to cut the gas pipeline using the longitudinal section line to obtain the longitudinal section; the longitudinal section pipeline information is extracted using the spatial analysis function of the geographic information system pipeline information; longitudinal section pipeline information includes at least one of pipeline material, wall thickness, slope and buried depth; a voltage regulating box / cabinet positioning unit, used to query the equipment parameters of the voltage regulating box or voltage regulating cabinet by using the pipe network topology relationship in response to a point on the map being clicked; the equipment parameters of the voltage regulating box or voltage regulating cabinet include at least one of the model, specification and maintenance record; a riser positioning unit, used to determine the riser corresponding to the voltage regulating box by using the pipe network topology relationship in response to the voltage regulating box being clicked; query and display the equipment parameters of the riser; the equipment parameters of the riser include at least one of the material, specification and service life.

[0010] According to an embodiment of the present disclosure, the spatial conflict detection and analysis module includes a vertical collision distance threshold setting unit, a horizontal collision distance threshold setting unit and a geometric analysis unit; the vertical collision distance threshold setting unit is used to set the vertical collision distance threshold according to the first design parameter and layout diagram of the gas pipeline; the first design parameter includes at least one of the type, size, material, burial depth and soil condition; the horizontal collision distance threshold setting unit is used to set the horizontal collision distance threshold according to the second design parameter and layout diagram of the gas pipeline; the second design parameter includes at least one of the pipeline direction, pressure, temperature and flow rate of adjacent pipelines; the geometric analysis unit is used to use geographic information system and computer-aided design software to accurately model the pipeline layout, calculate the actual distance between each pipeline element and compare it with the preset vertical collision distance threshold and horizontal collision distance threshold.

[0011] According to an embodiment of the present disclosure, the visual analysis layer includes at least one of a safety management analysis module, a density characteristic analysis module, a flow direction and upstream and downstream relationship analysis module, and a problem tracing analysis module; a safety management analysis module for early warning of safety hazards; detecting pipe burst events through real-time operation data; determining the affected pipelines through the affected valves and the topological relationship of the pipeline network and visually displaying them; evaluating the pipeline network safety level by using the operating years, corrosion protection type and cathodic protection status to mark the pipelines corresponding to different pipeline network safety levels with different colors; detecting the cathodic protection status through real-time operation data; a density characteristic analysis module for drawing a pipeline network heat map according to the density gradient according to the density of the pipeline network for visual display; a flow direction and upstream and downstream relationship analysis module for performing upstream and downstream analysis and flow direction analysis; a problem tracing analysis module for responding to the target pipeline network segment being selected, using the flow direction and upstream and downstream relationship analysis module to search for the source and display the flow direction of the target pipeline network segment.

[0012] According to an embodiment of the present disclosure, the safety management module includes at least one of an early warning analysis unit, a valve closing analysis unit, a pipe burst analysis unit, a pipe network safety four-color unit and a cathodic protection analysis unit; the early warning analysis unit is used to use the early warning model to predict safety hazards through historical operation data and real-time operation data; in response to the prediction of the existence of safety hazards, trigger an early warning and send an early warning message; wherein the early warning model can output whether the safety hazard exists according to the input historical operation data and real-time operation data; the valve closing analysis unit is used to respond to the affected valve being clicked, check the affected pipeline for visual display according to the pipe network topology relationship; in response to operating the clicked valve, verify the existence, status and operation authority of the valve; the status refers to open or closed; the pipe burst analysis unit is used to monitor pipe burst events through real-time operation data; using historical operation data, Environmental data and design parameters are used to analyze the cause of pipe burst; the valve closing analysis unit is used to determine the impact range of the pipe burst event for visual display and generation of interactive reports; the pipeline network safety four-color unit is used to build a pipeline network safety level assessment model; the pipeline network safety level assessment model is determined by the weight of safety factors, expert scoring and historical operation data analysis; safety factors include at least one of the operating years, anti-corrosion type and its effectiveness and cathodic protection status; the pipeline network safety level assessment model is used to assess the pipeline network safety level of each part of the pipeline network; according to the pipeline network safety level, each part of the pipeline network is mapped to a preset color; the cathodic protection analysis unit is used to judge the cathodic protection status according to whether the real-time operation data is within the preset range; the real-time operation data includes at least one of the pipeline protection potential, anode output current, anode open circuit point, AC voltage and insulation resistance.

[0013] According to an embodiment of the present disclosure, a flow direction and upstream and downstream relationship analysis module includes an upstream and downstream analysis unit and a flow direction analysis unit; the upstream and downstream analysis unit is used for upstream analysis, starting from the current pipeline or pipe point, tracing back in the reverse direction of the pipeline until the starting point of the pipeline is reached or a branch point is encountered; for downstream analysis, starting from the current pipeline or pipe point, tracing back in the positive direction of the pipeline until the end of the pipeline is reached or a branch point is encountered; the reverse direction of the pipeline and the positive direction of the pipeline are determined by preset; the flow direction analysis unit is used to set the source point and the confluence point in the pipeline network; the spatial analysis function of the geographic information system is used to calculate the flow direction of each pipeline according to the set source or confluence point and the pipeline network topological relationship; the calculated flow direction of each pipeline is represented on the map by an arrow symbol.

[0014] According to an embodiment of the present disclosure, the problem tracing analysis module includes at least one of a selection unit, a search unit and a display unit; the selection unit is used to select the pipeline segment that needs to be traced by manual selection or input of the identification information of the pipeline segment; the identification information includes at least one of the pipeline number and the pipe point coordinates; the search unit is used to search and determine the source of the selected pipeline segment according to the selected pipeline segment by using the flow direction and upstream and downstream relationship analysis module; the display unit is used to indicate the flow direction of all pipeline segments from the source to the selected pipeline segment with arrow symbols.

[0015] According to an embodiment of the present disclosure, the data preprocessing layer includes at least one of a data acquisition module and a data preprocessing module; the data acquisition module is used to collect gas data from the gas pipeline system; a pipeline network topology relationship is constructed based on the gas data; the design parameters include at least one of the pipeline diameter, wall thickness and material; the layout diagram includes at least one of the pipeline direction, valve position and branch point; the real-time operation data includes at least real-time monitoring data of flow, pressure and temperature; the data preprocessing module is used to clean the collected gas data, remove abnormal values ​​and duplicate values; summarize the gas data and standardize the data.

[0016] According to the gas intelligent decision-making auxiliary analysis system provided by the present disclosure, by integrating geographic information system (GIS), big data analysis, artificial intelligence algorithm and gas engineering professional knowledge, through highly integrated and intelligent means, the gas pipeline network is fully and multi-level monitored, analyzed and supported by decision-making. Due to the integration of multiple analysis modules, the gas pipeline network is fully, deeply and in real time monitored and analyzed, thus at least partially solving the technical problem of incomplete monitoring and analysis, achieving the technical effect of improving the operational efficiency of gas enterprises and significantly enhancing the safety and reliability of the gas system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1The structure block diagram of the gas intelligent decision-making auxiliary analysis system according to the embodiment of the present disclosure is schematically shown;

[0018] Figure 2 Schematically shows a schematic diagram of a cross-sectional analysis unit according to an embodiment of the present disclosure;

[0019] Figure 3 A schematic diagram of a longitudinal section analysis unit according to an embodiment of the present disclosure is schematically shown;

[0020] Figure 4 A schematic diagram of a voltage regulating box / cabinet positioning unit according to an embodiment of the present disclosure is schematically shown;

[0021] Figure 5 A valve closing analysis unit according to an embodiment of the present disclosure is schematically shown;

[0022] Figure 6 A schematic diagram of a pipe burst analysis unit according to an embodiment of the present disclosure is schematically shown;

[0023] Figure 7 A schematic diagram schematically shows the four-color unit level of pipe network safety according to an embodiment of the present disclosure;

[0024] Figure 8 A schematic diagram of a four-color unit display of pipe network safety according to an embodiment of the present disclosure is schematically shown;

[0025] Fig. 9 A schematic diagram of a cathodic protection analysis unit according to an embodiment of the present disclosure is schematically shown;

[0026] Fig.10 A schematic diagram of a hydraulic characteristic analysis module according to an embodiment of the present disclosure is schematically shown;

[0027] Fig.11 A schematic diagram of a data checking unit according to an embodiment of the present disclosure is schematically shown;

[0028] Fig.12 A schematic diagram of an isolated point checking unit according to an embodiment of the present disclosure is schematically shown;

[0029] Fig.13 A schematic diagram of a pipe network connectivity inspection unit according to an embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0030] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0031] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0032] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification, and should not be interpreted in an idealized or overly rigid manner.

[0033] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0034] Figure 1 The structural block diagram of the gas intelligent decision-making auxiliary analysis system according to the embodiment of the present disclosure is schematically shown. Figure 1 As shown, the present disclosure provides a gas intelligent decision-making auxiliary analysis system, including: a data preprocessing layer, which is used to collect gas data; clean and summarize gas data; the gas data at least includes equipment parameters, pipeline network topology relationships, design parameters and layout diagrams of gas pipelines, real-time operation data and historical operation data; a data analysis layer, which is used to use gas data to check the status of the gas pipeline network; specifically including: checking the integrity of gas data and pipeline network connectivity; querying equipment parameters and spatial positioning; evaluating the hydraulic characteristics of the gas pipeline network; performing pipeline network collision detection; calculating the gas storage capacity of the pipeline network; a visual analysis layer, which is used to use gas data to perform traceability analysis and visual display; traceability analysis is used to analyze the safety issues of gas pipelines and query upstream pipelines based on pipeline network topology relationships; visual display is used to display the traceability analysis results through a map.

[0035] In this embodiment, the present disclosure provides the following functions: (1) Spatial location analysis: A comprehensive analysis method based on spatial location is proposed, including cross-section analysis and longitudinal section analysis, to accurately understand the layout and direction of gas pipelines in geographic space. At the same time, through specific algorithms and technologies, key facilities such as pressure regulating boxes / cabinets and risers can be quickly located, providing convenience for on-site operations and maintenance. (2) Safety management analysis: In order to enhance the safety of the gas system, functions such as early warning analysis, valve closing analysis and pipe burst analysis are designed. These functions can predict potential safety hazards based on real-time monitoring data and historical records, issue early warning signals in a timely manner, and simulate valve closing operations to reduce the impact of accidents. In addition, the pipeline network safety four-color and cathodic protection analysis further improve the overall safety level of the pipeline system. (3) Hydraulic characteristics analysis: The hydraulic analysis function can simulate the flow of gas in the pipeline, evaluate the pipeline's transportation capacity and pressure distribution, and provide data support for optimizing pipeline design and operation strategies. (4) Data quality analysis: Data is the basis of intelligent decision-making. Through data inspection, isolated point inspection, hanging line inspection and pipeline network connectivity inspection, the accuracy and integrity of input data are ensured, and the reliability of analysis results is improved. (5) Storage and utilization analysis: The pipeline storage analysis function can calculate and manage the storage volume of gas in the pipeline, providing a decision-making basis for energy scheduling and reserves. (6) Thermal characteristics analysis: The pipe density thermal analysis takes into account the impact of factors such as pipeline materials and ambient temperature on gas flow, providing guidance for optimizing pipeline insulation and energy-saving measures. (7) Spatial conflict detection analysis: Through collision analysis and spatial conflict detection, this patent can timely detect and warn of potential pipeline collision risks, avoiding safety accidents during construction and maintenance. (8) Flow direction and upstream and downstream relationship analysis: Upstream and downstream analysis and flow direction analysis functions help to clarify the flow relationship and upstream and downstream dependencies in the pipeline system, providing strong support for emergency response and resource scheduling. (9) Pipeline network traceability analysis: The traceability analysis function can track and analyze the gas source point of the pipeline network, providing strong support for pipeline network traceability.

[0036] It should be noted that since the system involves a large amount of gas data (such as pipeline location, user information, etc.), strict security measures need to be taken to protect the security and integrity of the data.

[0037] Through the embodiments of the present disclosure, a variety of analysis modules and data processing modules are integrated to form a comprehensive intelligent decision-making support system that can receive and process the monitoring data of the gas system in real time and perform corresponding analysis and early warning. At the same time, the system also provides a friendly user interface and visualization tools to facilitate decision makers to view and analyze the results, so as to make more accurate and efficient decisions. This comprehensiveness and integration enables the system to more accurately reflect the overall status of the gas system and improve the scientificity and accuracy of decision-making.

[0038] On the basis of the above embodiment, the data analysis layer includes at least one of a data quality analysis module, a spatial position analysis module, a hydraulic characteristic analysis module, a spatial conflict detection analysis module and a storage utilization analysis module; the data quality analysis module is used to use the gas data list to count and locate missing data; the network topology relationship is used to check the connectivity of isolated points, hanging lines and pipelines; the spatial position analysis module is used to analyze the shape and properties of the pipeline in the horizontal and vertical directions through cross sections and longitudinal sections; in response to the point on the map being clicked, the device parameters of the associated device are queried; the associated device includes at least one of a pressure regulating box, a pressure regulating cabinet and a riser; the hydraulic characteristic analysis module is used to establish a gas pipeline mathematical model using gas data for evaluating the water-gas mixing condition, pressure loss and aerodynamic stability of the pipeline; the gas pipeline mathematical model is used to calculate the pressure and flow of each point in the pipeline network through gas data; the spatial conflict detection analysis module is used to use the design parameters and layout diagram to perform gas pipeline collision detection according to the preset vertical and horizontal collision distance thresholds between pipelines; the storage utilization analysis module is used to calculate the pipeline inventory at a preset time by calling the pipeline inventory algorithm using real-time operation data and historical operation data.

[0039] In this embodiment, hydraulic analysis is an in-depth exploration process of the hydraulic characteristics of the gas pipeline system. It is not limited to the simple calculation of basic parameters such as flow and pressure, but covers the comprehensive evaluation and optimization of these parameters in the pipeline system. This process is designed to ensure that the gas pipeline system can operate in the most efficient and safest way while meeting the established design standards and operational requirements. Specifically, it includes: First, mathematical model establishment: The core of hydraulic analysis is to establish a mathematical model to describe the flow of fluids in the pipeline network. Commonly used mathematical models include node equation method, ring equation method, etc. These methods can calculate the pressure and flow at each point in the pipeline network based on the structure and parameters of the pipeline network. Second, calculation and solution: After the mathematical model is established, numerical methods need to be used to solve it. This usually involves iterative calculations to find solutions that satisfy all equations and constraints. In the solution process, nonlinear factors in the pipeline network, such as fluid resistance, pipeline friction, etc., also need to be considered. Third, result verification and optimization: The results obtained by the solution need to be verified to ensure their accuracy and reliability. If the results do not meet expectations, the model needs to be adjusted and optimized to improve hydraulic performance. Fig.10 The schematic diagram of the hydraulic characteristic analysis module according to the embodiment of the present disclosure is schematically shown. Fig.10 As shown in the figure, after selecting a pipe section, the flow and pressure of the section can be calculated and displayed.

[0040] In this embodiment, the analysis based on storage and utilization is to calculate the pipe inventory at a specified time by calling the pipe inventory algorithm, accessing the temperature and pressure detection values ​​in the real-time library and the historical library. Pipe inventory analysis: Select pipe inventory analysis, calculate the pipe inventory through the pipe inventory analysis calculation formula, and enter the starting point, end point, pressure, temperature, relative density of natural gas and other values ​​of the pipe segment.

[0041] Among them, the pipeline inventory analysis formula is: Q = 293.15 × V × P 均 / (T 均 ×0.101325×Z),

[0042] Where V is the internal volume of the pipe section (i.e., the pipe capacity of the pipe section), and Z is the compression factor.

[0043] Compression factor calculation: Z = 1 / (1 + 5.072 × 1000000 × P 均 ×10 1.785C ×2 / T 均 3.825 );

[0044] P 均 =2 / 3[P1+0.101325+(P2+0.101325)×2 / (P1+P2+2×0.101325)];

[0045] T 均 =(T1+T2) / 2+273.15;

[0046] Among them, P1, P2, T1, and T2 are the pressure and temperature at the starting point and end point of the pipeline section respectively; C is the relative density of natural gas (there will be small adjustments within a certain period); the total pipeline storage Qn is the sum of the storage of each segmented pipeline.

[0047] Through the embodiments of the present disclosure, the collected gas data is used to check the health status of the gas network, evaluate the hydraulic characteristics, network connectivity, etc. Through detailed analysis, the system can identify potential problems in the network (such as poor connectivity, collisions, etc.), reduce operational risks, provide accurate network performance evaluation, and provide a scientific basis for optimizing operation and maintenance. Through modules such as hydraulic analysis and pipeline storage analysis, the scheduling and distribution of gas can be optimized, and energy waste and losses can be reduced. At the same time, the data quality analysis module can ensure the accuracy and completeness of the data, provide more reliable support for decision-making, and thus reduce operating costs.

[0048] Based on the above embodiments, the data quality analysis module includes at least one of a data inspection unit, an isolated point inspection unit, a hanging line inspection unit and a pipe network connectivity inspection unit; the data inspection unit is used to use the gas data list to check whether the data is missing; use a line chart to count the missing data; search and locate the position of the missing data; the isolated point inspection unit is used to check the isolated points through the pipe network topology relationship in response to selecting the isolated point inspection range; display the isolated points through the attribute table and highlight them; the hanging line inspection unit is used to check the hanging lines through the pipe network topology relationship in response to selecting the hanging line inspection range; display the hanging lines through the attribute table and highlight them; the pipe network connectivity inspection unit is used to obtain the viewed pipe network set through the pipe network topology relationship.

[0049] Fig.11 The schematic diagram of the data checking unit according to the embodiment of the present disclosure is schematically shown. The data checking specifically includes: step 1: check whether each required data item exists by comparing the data list or data dictionary; step 2: count the number of missing data items and use a line chart to perform data statistics; step 3: select the missing items for search and locate the specific location.

[0050] Fig.12 The schematic diagram of the isolated point inspection unit according to the embodiment of the present disclosure is schematically shown; the isolated point inspection specifically includes: step 1: select the isolated point inspection range; step 2: check the isolated points through topological relationships, display them in the form of attribute tables, and highlight them on the graph. Similarly, the hanging line inspection specifically includes: step 1: select the hanging line inspection range; step 2: check the hanging lines through topological relationships, display them in the form of attribute tables, and highlight them on the graph.

[0051] Fig.13 The schematic diagram of the pipe network connectivity check unit according to the embodiment of the present disclosure is schematically shown. The pipe network connectivity check specifically includes: obtaining different pipe network sets through topological relationship check; clicking on the GIS pipe network set to locate the specified set.

[0052] Through the embodiments of the present disclosure, data quality-based analysis is a comprehensive and meticulous process that covers multiple key steps to ensure the accuracy, completeness, consistency, and reliability of the data. This process includes not only basic checks on the data, but also more in-depth checks on isolated points, hanging lines, and network connectivity, ensuring the accuracy and completeness of gas system data. Through automated data checks, data problems or network layout defects can be quickly discovered, thereby avoiding decision errors caused by incomplete data.

[0053] On the basis of the above-mentioned embodiment, the spatial position analysis module includes a cross-section analysis unit, a longitudinal section analysis unit, a pressure regulating box / cabinet positioning unit and a riser positioning unit; the cross-section analysis unit is used to cut the gas pipeline using the cross-section line to obtain the cross-section; the cross-section pipeline information is extracted using the spatial analysis function of the geographic information system; the cross-section pipeline information includes at least one of the position of the pipeline on the cross-section, the change in pipe diameter and the buried depth; the longitudinal section analysis unit is used to cut the gas pipeline using the longitudinal section line to obtain the longitudinal section; the longitudinal section is extracted using the spatial analysis function of the geographic information system Pipeline information; longitudinal section pipeline information includes at least one of pipeline material, wall thickness, slope, and burial depth; a voltage regulating box / cabinet positioning unit, used to query the equipment parameters of the voltage regulating box or voltage regulating cabinet using the pipeline network topology relationship in response to a point on the map being clicked; the equipment parameters of the voltage regulating box or voltage regulating cabinet include at least one of the model, specification and maintenance record; a riser positioning unit, used to determine the riser corresponding to the voltage regulating box using the pipeline network topology relationship in response to the voltage regulating box being clicked; query and display the equipment parameters of the riser; the equipment parameters of the riser include at least one of the material, specification and service life.

[0054] Figure 2 The schematic diagram of the cross-sectional analysis unit according to the embodiment of the present disclosure is schematically shown; the cross-sectional analysis specifically includes: on the GIS platform, according to actual needs, drawing one or more cross-sectional lines, which will pass through the gas pipeline, for cutting the pipeline and obtaining its cross-sectional information; through the spatial analysis function of GIS, extracting the pipeline information on the cross-sectional line, including the position of the pipeline in the cross-section, the change in pipe diameter, the buried depth, etc.; presenting the extracted cross-sectional information to decision makers in the form of charts or reports to help them understand the distribution of the pipeline in the cross-section, and provide a basis for the optimization layout and transformation of the pipeline.

[0055] Figure 3 A schematic diagram of a longitudinal section analysis unit according to an embodiment of the present disclosure is schematically shown; the longitudinal section analysis specifically includes: on a GIS platform, drawing one or more longitudinal section lines along the direction of the pipeline, and these lines will extend along the pipeline to display the information of the pipeline in the vertical direction; through the spatial analysis function of GIS, extracting the pipeline information on the longitudinal section line, including the pipeline material, wall thickness, slope, burial depth, etc.; displaying the extracted longitudinal section information to decision makers in the form of charts or reports to help them understand the changes in the pipeline in the vertical direction and provide a basis for the maintenance and management of the pipeline.

[0056] Figure 4The schematic diagram of the voltage regulating box / cabinet positioning unit according to the embodiment of the present disclosure is schematically shown. Finding the voltage regulating box / cabinet specifically includes: clicking on the point on the GIS map to query the associated voltage regulating box / cabinet according to the topological relationship; displaying the queried voltage regulating box / cabinet location on the GIS map in the form of an icon or mark to facilitate decision makers to quickly locate; clicking on the voltage regulating box / cabinet icon on the map to extract and display its detailed information, such as model, specification, maintenance record, etc. Finding the riser specifically includes: selecting a voltage regulating box and finding the riser corresponding to the voltage regulating box according to the topological relationship; displaying the queried riser location on the GIS map; clicking on the riser icon on the map to extract and display its detailed information, such as material, specification, service life, etc., and update and maintain the information according to actual conditions.

[0057] Through the embodiments of the present disclosure, the analysis based on spatial position in the auxiliary decision-making system is a comprehensive functional module, which not only covers cross-sectional analysis to deeply explore the specific layout and characteristics of the pipeline on a certain horizontal plane, but also includes longitudinal section analysis to fully understand the shape and properties of the pipeline in the vertical direction; in addition, the analysis module also has the function of finding the pressure regulating box / cabinet, which can quickly locate the specific location of the gas pressure regulating facility, and the function of finding the riser, which can accurately find and display the spatial distribution of the riser. These analysis methods together constitute the core content of the spatial position analysis in the auxiliary decision-making system, which provides strong data support and decision-making basis for the management, maintenance and optimization of the gas system. Through cross-sectional analysis and longitudinal section analysis, the layout and direction of the gas pipeline in three-dimensional space can be accurately grasped, which is crucial for urban planning, construction avoidance and rapid positioning in emergency situations. Using spatial positioning technology, the position of key equipment (pressure regulating box / cabinet and riser) can be quickly locked to improve operation and maintenance efficiency.

[0058] On the basis of the above-mentioned embodiment, the spatial conflict detection and analysis module includes a vertical collision distance threshold setting unit, a horizontal collision distance threshold setting unit and a geometric analysis unit; the vertical collision distance threshold setting unit is used to set the vertical collision distance threshold according to the first design parameter and layout diagram of the gas pipeline; the first design parameter includes at least one of the type, size, material, burial depth and soil condition; the horizontal collision distance threshold setting unit is used to set the horizontal collision distance threshold according to the second design parameter and layout diagram of the gas pipeline; the second design parameter includes at least one of the pipeline direction, pressure, temperature and flow rate of the adjacent pipeline; the geometric analysis unit is used to use the geographic information system and computer-aided design software to accurately model the pipeline layout, calculate the actual distance between each pipeline element and compare it with the preset vertical collision distance threshold and horizontal collision distance threshold.

[0059] In this embodiment, a detection and analysis based on spatial conflict specifically includes: first, setting the vertical and horizontal collision distance thresholds between pipe networks, analyzing whether the distance between pipe networks is less than the collision distance: setting the minimum safety distance of the pipe network in the vertical direction according to factors such as the type, size, material, burial depth and soil conditions of the pipe network. For example, for underground water supply and drainage pipes, it may be necessary to ensure that there is a certain vertical interval between different pipes to avoid mutual squeezing caused by ground subsidence or pipe aging; according to the direction of the pipe network, the pressure, temperature, flow rate and other parameters of adjacent pipes, as well as the convenience of construction and maintenance, set the minimum safety distance of the pipe network in the horizontal direction. The setting of the horizontal collision distance also needs to consider factors such as terrain changes and underground obstacles. Second, using geographic information system (GIS) or computer-aided design (CAD) software, accurately model the pipe network layout, calculate the actual distance between each pipe network element, and compare it with the preset collision distance threshold. This method is suitable for preliminary collision detection of large-scale pipe network systems.

[0060] Through the embodiments of the present disclosure, collision analysis can accurately detect spatial conflicts in pipeline systems, provide strong support for pipeline layout optimization, troubleshooting, etc., identify potential conflicts in pipeline network layout in advance, and reduce unexpected problems during construction and maintenance.

[0061] On the basis of the above embodiments, the visual analysis layer includes at least one of a safety management analysis module, a density characteristic analysis module, a flow direction and upstream and downstream relationship analysis module and a problem tracing analysis module; a safety management analysis module for early warning of safety hazards; detecting pipe burst events through real-time operation data; determining the affected pipelines through the affected valves and the pipeline network topology relationship and visually displaying them; using the operating years, corrosion protection type and cathodic protection status to evaluate the pipeline network safety level for marking pipelines corresponding to different pipeline network safety levels with different colors; detecting the cathodic protection status through real-time operation data; a density characteristic analysis module for drawing a pipeline network heat map according to the density gradient according to the density of the pipeline network for visual display; a flow direction and upstream and downstream relationship analysis module for performing upstream and downstream analysis and flow direction analysis; a problem tracing analysis module for responding to the target pipeline network segment being selected, using the flow direction and upstream and downstream relationship analysis module to search for the source and display the flow direction of the target pipeline network segment.

[0062] In this embodiment, an analysis based on density characteristics specifically includes: selecting a gradient color; drawing a pipe network heat map according to the density of the pipe network, performing a gradient according to the density, and intuitively displaying the pipe network density on the map; determining the unit density, there are two analysis methods, one is to analyze by the number of pipe networks per unit area, and the other is to analyze by the volume of the pipe network per unit area; the analysis results are displayed in the form of a heat map. The pipe density thermal analysis function can evaluate the performance changes of the pipeline under different temperature conditions, and provide a basis for the formulation of measures such as pipe insulation and antifreeze.

[0063] Through the embodiments of the present disclosure, through intuitive visual display, users can more quickly understand and analyze the system operation status and find problems in time. The automation of safety management and problem tracing analysis can greatly improve the safety and efficiency of the pipeline network.

[0064] On the basis of the above embodiments, the safety management module includes at least one of an early warning analysis unit, a valve closing analysis unit, a pipe burst analysis unit, a pipe network safety four-color unit and a cathodic protection analysis unit; the early warning analysis unit is used to use the early warning model to predict safety hazards through historical operation data and real-time operation data; in response to the prediction of the existence of safety hazards, trigger an early warning and send an early warning message; wherein the early warning model can output whether a safety hazard exists based on the input historical operation data and real-time operation data; the valve closing analysis unit is used to respond to the affected valve being clicked, and check the affected pipeline for visual display according to the pipe network topology relationship; in response to operating the clicked valve, verify the existence, status and operation authority of the valve; the status refers to open or closed; the pipe burst analysis unit is used to monitor pipe burst events through real-time operation data; using historical operation data , environmental data and design parameters to analyze the cause of pipe burst; use the valve closing analysis unit to determine the impact range of the pipe burst event for visual display and generate interactive reports; the pipeline network safety four-color unit is used to build a pipeline network safety level assessment model; the pipeline network safety level assessment model is determined by the weight of safety factors, expert scoring and historical operation data analysis; safety factors include at least one of the operating years, anti-corrosion type and its effectiveness and cathodic protection status; use the pipeline network safety level assessment model to assess the pipeline network safety level of each part of the pipeline network; map each part of the pipeline network to a preset color according to the pipeline network safety level; the cathodic protection analysis unit is used to determine the cathodic protection status based on whether the real-time operation data is within the preset range; the real-time operation data includes at least one of the pipeline protection potential, anode output current, anode open circuit point, AC voltage and insulation resistance.

[0065] In this embodiment, the early warning analysis unit includes: using machine learning or deep learning algorithms to build a prediction model, which can predict possible safety hazards based on historical data and real-time monitoring data; when the model predicts potential safety hazards (such as abnormal pressure, sudden flow changes, etc.), it automatically triggers the early warning mechanism and sends early warning information to relevant personnel. It can timely discover potential safety hazards based on real-time monitoring data and issue early warning information. This helps relevant departments to take quick measures to avoid accidents or mitigate the impact of accidents.

[0066] In this embodiment, multiple affected valves are clicked on the GIS map; the affected pipelines and affected customers are checked according to the pipeline network topology relationship; Figure 5 As shown, the results of the pipeline network analysis are displayed. Click on the pipeline to locate the corresponding pipeline on the map and display it. On the GIS (Geographic Information System) map, an intuitive and easy-to-use user interface is designed to allow users to select multiple affected valves by clicking. When the user selects the valve, the system automatically verifies the existence, status (open / closed) and operating authority of the selected valve. For valves that are not authorized to operate or are in inconsistent status, clear prompts are given and alternative solutions are recommended. In addition, the function of batch selection of valves is supported, while considering the mutual influence between different valves. For example, the selection of parallel valves must ensure that no unnecessary isolation or pressure abnormalities will be caused in the pipeline network.

[0067] Figure 6The schematic diagram of the pipe burst analysis unit according to the embodiment of the present disclosure is schematically shown, and the pipe burst analysis specifically includes: detecting pipe burst events through real-time monitoring data (such as pressure drop, flow surge, etc.) and sensor feedback (such as sound, vibration, etc.); analyzing the possible causes of pipe burst in combination with historical data of the pipeline network, environmental factors (such as geological conditions, climate change, etc.) and factors such as pipeline materials; using GIS and pipeline network models to accurately determine the location of the pipe burst and evaluate its impact on the surrounding area; constructing a dynamic pipeline network topology model based on GIS data to reflect the connection relationship and flow direction information of various elements (valves, pipelines, pumping stations, etc.) in the pipeline network in real time; using a topological analysis algorithm to quickly identify and highlight all pipeline segments that may be affected according to the selected valve position. The analysis should take into account the complexity of the pipeline network, such as branches, loops and other structures, to ensure the accuracy and comprehensiveness of the analysis; combined with the customer service database, analyze the customer areas served by the affected pipelines, list the affected customers, including key information such as customer name, address, water consumption, etc., to provide data support for subsequent emergency response and services; on the GIS map, mark the analysis results with different colors or icons, including the affected valves, pipelines and customer areas. Click on any pipeline, the map will automatically zoom and accurately locate the pipeline, and display detailed information of the pipeline (such as pipe diameter, material, flow direction, etc.); provide a one-click function to generate an analysis report, the report content should include valve operation instructions, affected pipelines and customer profiles, potential risk analysis and recommended measures, etc. The report format supports multiple formats such as PDF and Excel for easy sharing and archiving; the analysis results should support real-time updates. When the pipeline network status changes (such as valve operation completion, new fault report), the system can automatically recalculate and update the display content to ensure the accuracy and timeliness of the information. At the same time, provide a user feedback mechanism to collect users' evaluation and suggestions on the analysis results, and continuously optimize algorithms and services.

[0068] In this embodiment, a pipeline network safety level assessment model is constructed based on multiple factors such as operating years, anti-corrosion type and its effectiveness, and cathodic protection status. The model should take into account the weight of each factor and determine it through methods such as expert scoring and historical data analysis. A dynamic update mechanism for the assessment model is established, and the assessment criteria and weights are regularly adjusted according to new data or research results to ensure the timeliness and accuracy of the assessment results. : According to the assessment model, the safety level of each part of the pipeline network is assessed, and the assessment results are output, including grade classification, risk point location, potential hazards and other information. The assessment grade results are as follows: Figure 7 shown.

[0069] Figure 8The schematic diagram of the four-color unit display of the pipeline network safety according to the embodiment of the present disclosure is schematically shown, and the pipeline network safety level is clearly divided into four levels, such as high risk (red), medium risk (yellow), low risk (green), and no risk (blue), and each level corresponds to specific risk characteristics and countermeasures. According to the safety level division, each part of the pipeline network is mapped to the corresponding color, such as high-risk areas are marked with red, medium risk is marked with yellow, low risk is marked with green, and no risk is marked with blue. Ensure that the color coding is consistent throughout the system to facilitate personnel identification and understanding. Use the GIS (Geographic Information System) platform to intuitively display the results of the pipeline network safety level assessment in the form of a map. The GIS platform should have functions such as spatial query, positioning, and analysis to facilitate personnel to quickly understand the safety status of the pipeline network. Interactive functions are designed in the visual display platform, such as click query, zoom in and out, layer switching, etc., so that personnel can have a deeper understanding of the safety status of each part of the pipeline network. The dynamic update of the assessment results is realized. When the safety level of a part of the pipeline network changes, the system automatically updates the map display and issues an alarm prompt to remind relevant personnel to take timely measures.

[0070] Fig. 9 The schematic diagram of the cathodic protection analysis unit according to the embodiment of the present disclosure is schematically shown. The cathodic protection analysis specifically includes: collecting real-time monitoring data of different types of cathodic protection systems, including pipeline protection potential, anode output current, anode open circuit point, AC voltage, and insulation resistance; processing and analyzing the collected data for different types of detection contents; when the cathodic protection value exceeds the valid range, it will be automatically marked in red, and the historical cathodic protection records will be displayed in the form of a trend chart.

[0071] According to the embodiments of the present disclosure, the spatial location-based analysis in the auxiliary decision-making system is a comprehensive functional module, which integrates multiple key functions to fully support the safety management and emergency response of the pipeline network system. This module not only includes early warning analysis, which predicts potential safety hazards through real-time monitoring data and advanced algorithms, and issues early warning signals in a timely manner; it also includes valve closing analysis, which can quickly determine and close key valves in an emergency to isolate the fault area and prevent the situation from escalating; at the same time, it also has the ability to analyze pipe bursts, which can analyze the possible causes, precise locations and impact ranges of pipe bursts, quickly locate problems and provide solutions in an emergency, improve the speed and efficiency of emergency response, and provide a scientific basis for rapid repair. In addition, the four-color function of pipeline network safety displays the safety level of each part of the pipeline network through intuitive color coding, so that managers can grasp the overall safety status of the pipeline network at a glance. Finally, the cathodic protection analysis function focuses on evaluating and maintaining the status of the cathodic protection system, ensuring that the gas pipeline is protected from corrosion and extending the service life of the pipeline. By introducing intelligent algorithms and automated analysis technologies, a large amount of gas system data can be processed and analyzed in real time and quickly, and analysis reports and early warning information can be automatically generated. This greatly reduces the burden of manual operations, improves work efficiency, and reduces the risk of human error, enabling the auxiliary decision-making system to respond to various pipeline safety issues efficiently and accurately, providing strong guarantees for the safe operation of urban gas systems.

[0072] On the basis of the above embodiments, the flow direction and upstream and downstream relationship analysis module includes an upstream and downstream analysis unit and a flow direction analysis unit; the upstream and downstream analysis unit is used for upstream analysis, starting from the current pipeline or pipe point, tracing back in the reverse direction of the pipeline until the starting point of the pipeline is reached or a branch point is encountered; for downstream analysis, starting from the current pipeline or pipe point, tracing back in the positive direction of the pipeline until the end of the pipeline is reached or a branch point is encountered; the reverse direction of the pipeline and the positive direction of the pipeline are determined by preset; the flow direction analysis unit is used to set the source point and the confluence point in the pipeline network; the spatial analysis function of the geographic information system is used to calculate the flow direction of each pipeline according to the set source or confluence point and the pipeline network topological relationship; the calculated flow direction of each pipeline is represented on the map by an arrow symbol.

[0073] In this embodiment, an analysis based on the flow direction and the upstream and downstream relationship specifically includes: 1. Upstream and downstream analysis: quickly query the upstream pipeline and downstream pipeline of the current pipeline or pipe point, and trace the upstream or downstream pipeline along the direction of the pipeline from the current pipeline or pipe point. Upstream analysis: for upstream analysis, start from the current pipeline or pipe point and trace back in the opposite direction of the pipeline until the starting point of the pipeline is reached or a branch point is encountered. Downstream analysis: for downstream analysis, start from the current pipeline or pipe point and trace back in the positive direction of the pipeline until the end of the pipeline is reached or a branch point is encountered. 2. Flow direction analysis: by setting the source or confluence point, the system can automatically determine the flow direction of each line in the pipeline network, and use intuitive arrow symbols on the map to indicate the flow direction of each pipeline network. Set the source or confluence point: on the GIS platform, set the source or confluence point in the pipeline network by manually inputting or importing data. The source is the point where the fluid starts to flow in the pipeline network, and the confluence point is the point where the fluid converges or flows out. Flow direction calculation: Using the spatial analysis function of the GIS platform, the flow direction of each pipeline is automatically calculated according to the set source or confluence point and the topological structure of the pipeline network. Flow direction calculation is usually based on the connection relationship of the pipeline and the natural flow law of the fluid, such as from high pressure to low pressure, from source to confluence point, etc. Result display: The calculated flow direction information is displayed on the map with intuitive arrow symbols. The color, size and direction of the arrow symbol can be customized according to actual needs to more clearly display the flow direction of the pipeline network.

[0074] Through the embodiments of the present disclosure, the airflow in the pipe network is accurately analyzed to help dispatchers better optimize the operation of the pipe network. Flow direction analysis helps to identify possible bottlenecks or pressure problems in advance and make timely adjustments.

[0075] On the basis of the above-mentioned embodiment, the problem tracing analysis module includes at least one of a selection unit, a search unit and a display unit; the selection unit is used to select the pipeline segment that needs to be traced by manual selection or input of the identification information of the pipeline segment; the identification information includes at least one of the pipeline number and the pipe point coordinates; the search unit is used to search and determine the source of the selected pipeline segment according to the selected pipeline segment by using the flow direction and upstream and downstream relationship analysis module; the display unit is used to indicate the flow direction of all pipeline segments from the source to the selected pipeline segment with arrow symbols.

[0076] In this embodiment, by selecting a certain pipe network segment, the system can automatically search for the source of the pipe network segment and use intuitive arrow symbols on the map to indicate the flow direction of all pipe network segments from the source to the pipe network segment. Select the pipe network segment: On the GIS platform, manually select or enter the identification information of the pipe network segment (such as pipeline number, pipe point coordinates, etc.), and select the pipe network segment that needs to be traced back. Search for the source: The system automatically searches and determines the source of the pipe network segment based on the selected pipe network segment using spatial analysis technology. During the search process, the system will consider the topological structure and flow direction information of the pipe network to ensure the accuracy of the search results. Display the flow direction: On the map, intuitive arrow symbols are used to indicate the flow direction of all pipe network segments from the source to the selected pipe network segment. The color, size, and direction of the arrow symbol can be customized according to actual needs to more clearly display the flow direction of the pipe network.

[0077] Through the embodiments of the present disclosure, by selecting or inputting identification information, the pipe network segment that needs to be traced back is determined. According to the flow direction analysis of the pipe network, the source of the problem is determined and the impact path is displayed, providing a fast fault location function to help engineers quickly find the root cause of the problem after it occurs and reduce downtime.

[0078] Based on the above embodiments, the data preprocessing layer includes at least one of a data acquisition module and a data preprocessing module; the data acquisition module is used to collect gas data from the gas pipeline system; a pipeline network topology relationship is constructed based on the gas data; the design parameters include at least one of the pipeline diameter, wall thickness and material; the layout diagram includes at least one of the pipeline direction, valve position and branch point; the real-time operation data includes at least real-time monitoring data of flow, pressure and temperature; the data preprocessing module is used to clean the collected gas data, remove abnormal values ​​and duplicate values; summarize the gas data and standardize the data.

[0079] In this embodiment, relevant design parameters such as pipe diameter, wall thickness, material, etc. are collected from the gas pipeline system; the layout diagram of the pipeline system is obtained, including the pipeline direction, valve position, branch point, etc.; historical operation data such as monitoring records of flow, pressure, temperature and other parameters are collected. The collected data is cleaned to remove abnormal values ​​and duplicate values; the data is integrated to ensure the integrity and consistency of the data; and the data is standardized as needed for subsequent analysis.

[0080] Through the embodiments of the present disclosure, high-quality raw data is provided to the system, providing solid data support for subsequent analysis and decision-making. After cleaning the data, it is ensured that the system can make accurate decisions in the subsequent stages and avoid analysis errors caused by data quality problems.

[0081] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0082] It will be appreciated by those skilled in the art that the features described in the various embodiments and / or claims of the present disclosure may be combined and / or combined in a variety of ways, even if such combinations and / or combinations are not explicitly described in the present disclosure. In particular, the features described in the various embodiments and / or claims of the present disclosure may be combined and / or combined in a variety of ways without departing from the spirit and teachings of the present disclosure. All of these combinations and / or combinations fall within the scope of the present disclosure.

[0083] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. The scope of the present disclosure is defined by the attached claims and their equivalents. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A gas intelligent decision-making auxiliary analysis system, characterized in that: include: The data preprocessing layer is used to collect gas data; clean and summarize the gas data; the gas data at least includes equipment parameters, pipe network topology, gas pipeline design parameters and layout diagram, real-time operation data and historical operation data; The data analysis layer is used to use gas data to check the status of the gas pipeline network; specifically, it includes: checking the integrity of gas data and pipeline network connectivity; querying equipment parameters and spatial positioning; evaluating the hydraulic characteristics of the gas pipeline network; performing pipeline network collision detection; and calculating the gas storage capacity of the pipeline network; The visual analysis layer is used to use gas data to perform source tracing analysis and visual display; the source tracing analysis is used to analyze the safety issues of the gas pipeline and query the upstream pipeline according to the pipeline network topology relationship; the visual display is used to display the source tracing analysis results through a map.

2. The system according to claim 1, wherein: The data analysis layer includes at least one of a data quality analysis module, a spatial position analysis module, a hydraulic characteristic analysis module, a spatial conflict detection analysis module and a storage utilization analysis module; The data quality analysis module is used to count and locate missing data using the gas data list; and to check the connectivity of isolated points, hanging lines and pipeline networks using the pipeline network topology relationship; The spatial position analysis module is used to analyze the shape and properties of the pipeline in the horizontal and vertical directions through cross sections and longitudinal sections; in response to a point on the map being clicked, query the equipment parameters of the associated equipment; the associated equipment includes at least one of a voltage regulating box, a voltage regulating cabinet, and a riser; The hydraulic characteristic analysis module is used to establish a gas pipeline network mathematical model using gas data to evaluate the water-gas mixing, pressure loss and aerodynamic stability of the gas flow in the pipeline; the gas pipeline network mathematical model is used to calculate the pressure and flow rate of each point in the pipeline network through the gas data; The spatial conflict detection and analysis module is used to perform gas pipe network collision detection according to preset vertical and horizontal collision distance thresholds between pipe networks by using design parameters and layout diagrams; The storage utilization analysis module is used to calculate the storage volume of a preset time by calling the storage algorithm and using the real-time operation data and the historical operation data.

3. The system according to claim 2, wherein: The data quality analysis module includes at least one of a data inspection unit, an isolated point inspection unit, a hanging line inspection unit and a pipe network connectivity inspection unit; The data checking unit is used to use the gas data list to check whether the data is missing; use the line chart to count the missing data; search and locate the position of the missing data; The isolated point inspection unit is used to check the isolated points through the pipe network topology relationship in response to selecting the isolated point inspection range; display the isolated points through the attribute table and mark them as highlighted points; The hanging line inspection unit is used to inspect the hanging lines according to the pipe network topology relationship in response to selecting the hanging line inspection range; display the hanging lines through the attribute table and mark them as highlighted lines; The pipe network connectivity checking unit is used to obtain the pipe network set to be checked through the pipe network topology relationship.

4. The system according to claim 2, wherein: The spatial position analysis module includes a cross-section analysis unit, a longitudinal section analysis unit, a voltage regulating box / cabinet positioning unit and a riser positioning unit; The cross-section analysis unit is used to cut the gas pipeline using the cross-section line to obtain the cross-section; and to extract the cross-section pipeline information using the spatial analysis function of the geographic information system; the cross-section pipeline information includes at least one of the position of the pipeline on the cross-section, the change in pipe diameter and the buried depth; The longitudinal section analysis unit is used to cut the gas pipeline using the longitudinal section line to obtain the longitudinal section; the longitudinal section pipeline information is extracted using the spatial analysis function of the geographic information system; the longitudinal section pipeline information includes at least one of the pipeline material, wall thickness, slope, and burial depth; The voltage regulating box / cabinet positioning unit is used to query the equipment parameters of the voltage regulating box or the voltage regulating cabinet by using the pipe network topology relationship in response to a point on the map being clicked; the equipment parameters of the voltage regulating box or the voltage regulating cabinet include at least one of the model, specification and maintenance record; The riser positioning unit is used to determine the riser corresponding to the pressure regulating box by using the pipe network topology relationship in response to the pressure regulating box being clicked; query and display the equipment parameters of the riser; the equipment parameters of the riser include at least one of material, specification and service life.

5. The system according to claim 2, wherein: The spatial conflict detection and analysis module includes a vertical collision distance threshold setting unit, a horizontal collision distance threshold setting unit and a geometric analysis unit; The vertical collision distance threshold setting unit is used to set the vertical collision distance threshold according to the first design parameter and layout diagram of the gas pipeline; the first design parameter includes at least one of type, size, material, burial depth and soil condition; The horizontal collision distance threshold setting unit is used to set the horizontal collision distance threshold according to the second design parameter and layout diagram of the gas pipeline; the second design parameter includes at least one of the pipeline network direction, the pressure, temperature and flow rate of the adjacent pipeline; The geometric analysis unit is used to accurately model the pipe network layout using a geographic information system and computer-aided design software, calculate the actual distance between each pipe network element, and compare it with a preset vertical collision distance threshold and a horizontal collision distance threshold.

6. The system according to claim 1, wherein: The visual analysis layer includes at least one of a security management analysis module, a density characteristic analysis module, a flow direction and upstream and downstream relationship analysis module, and a problem tracing analysis module; The safety management and analysis module is used to warn of safety hazards; detect pipe burst events through the real-time operation data; determine the affected pipelines through the affected valves and the pipe network topology relationship and visualize them; use the operating years, anti-corrosion type and cathodic protection status to evaluate the safety level of the pipe network so as to mark the pipe networks corresponding to different pipe network safety levels with different colors; detect the cathodic protection status through real-time operation data; The density characteristic analysis module is used to draw a pipe network thermal map according to the density gradient according to the density of the pipe network for visual display; The flow direction and upstream and downstream relationship analysis module is used to perform upstream and downstream analysis and flow direction analysis; The problem source tracing analysis module is used to respond to the target pipe network segment being selected, use the flow direction and upstream and downstream relationship analysis module to search for the source and display the flow direction of the target pipe network segment.

7. The system according to claim 6, wherein: The safety management module includes at least one of an early warning analysis unit, a valve closing analysis unit, a pipe burst analysis unit, a pipe network safety four-color unit, and a cathodic protection analysis unit; The early warning analysis unit is used to use the early warning model to predict safety hazards through historical operation data and real-time operation data; in response to the prediction of the existence of safety hazards, trigger an early warning and send early warning information; wherein the early warning model can output whether the safety hazard exists based on the input historical operation data and real-time operation data; The valve closing analysis unit is used to check the affected pipelines for visual display according to the pipeline network topology in response to the affected valve being clicked; in response to operating the clicked valve, verify the existence, state and operation authority of the valve; the state refers to open or closed; The pipe burst analysis unit is used to monitor pipe burst events through real-time operation data; analyze the causes of pipe bursts using historical operation data, environmental data and design parameters; and determine the impact range of pipe burst events using the valve closing analysis unit for visual display and generation of interactive reports; The pipeline network safety four-color unit is used to construct a pipeline network safety level assessment model; the pipeline network safety level assessment model is determined by the weight of safety factors, expert scoring and historical operation data analysis; the safety factors include at least one of the operating years, anti-corrosion type and its effectiveness and cathodic protection status; the pipeline network safety level assessment model is used to assess the pipeline network safety level of each part of the pipeline network; and each part of the pipeline network is mapped to a preset color according to the pipeline network safety level; The cathodic protection analysis unit is used to determine the cathodic protection status according to whether the real-time operation data is within a preset range; the real-time operation data includes at least one of pipeline protection potential, anode output current, anode open circuit point, AC voltage and insulation resistance.

8. The system according to claim 6, wherein: The flow direction and upstream and downstream relationship analysis module includes an upstream and downstream analysis unit and a flow direction analysis unit; The upstream and downstream analysis unit is used for upstream analysis, starting from the current pipeline or pipeline point, and tracing back in the reverse direction of the pipeline until reaching the starting point of the pipeline or encountering a branch point; For downstream analysis, starting from the current pipeline or pipeline point, trace back along the positive direction of the pipeline until reaching the end of the pipeline or encountering a branch point; the reverse direction of the pipeline and the positive direction of the pipeline are determined by preset; The flow direction analysis unit is used to set the source points and confluence points in the pipe network; use the spatial analysis function of the geographic information system to calculate the flow direction of each pipeline according to the set source or confluence point and the pipe network topological relationship; and indicate the calculated flow direction of each pipeline on the map with an arrow symbol.

9. The system according to claim 6, wherein: The problem tracing analysis module includes at least one of a selection unit, a search unit and a display unit; The selection unit is used to select the pipe network segment that needs to be traced by manually selecting or inputting the identification information of the pipe network segment; the identification information includes at least one of the pipeline number and the pipe point coordinates; The search unit is used to search and determine the source of the selected pipe network segment based on the selected pipe network segment by using the flow direction and upstream and downstream relationship analysis module; The display unit is used to indicate the flow direction of all pipe network segments from the source to the selected pipe network segment by arrow symbols.

10. The system according to claim 1, wherein: The data preprocessing layer includes at least one of a data acquisition module and a data preprocessing module; The data acquisition module is used to collect gas data from the gas pipeline system; construct a pipeline network topology based on the gas data; the design parameters include at least one of pipeline diameter, wall thickness and material; the layout diagram includes at least one of pipeline direction, valve position and branch point; the real-time operation data includes at least real-time monitoring data of flow, pressure and temperature; The data preprocessing module is used to clean the collected gas data, remove abnormal values ​​and duplicate values, summarize the gas data, and standardize the data.

Images