A multi-gas source gas supply system data management method and system

Abstract

The application relates to the technical field of data management, and discloses a multi-gas-source gas supply system data management method and system, which comprises the following steps: acquiring and storing pipeline characteristic data, pipeline gas supply rate and user demand rate, judging whether a gas source needs to be switched based on the pipeline characteristic data, the gas supply rate and the user demand rate; if the gas source needs to be switched, acquiring a gas source similarity, and adjusting the gas supply rate based on the pipeline characteristic data and the gas source similarity; if the gas source does not need to be switched, judging whether the gas supply rate needs to be adjusted according to the pipeline gas supply rate and the user demand rate; if the judgment is yes, the gas supply rate is adjusted; and if the judgment is no, the current working state is maintained; the application effectively prevents system problems. The method and system help better manage and control the multi-gas-source gas supply system, improve the stability and safety of the system, reduce the maintenance cost, and provide better user experience.

Description

Technical Field

[0001] This invention relates to the field of data management technology, and in particular to a data management method and system for a multi-source gas supply system. Background Technology

[0002] Natural gas transmission systems are divided into single-source gas supply systems and multi-source gas supply systems. Compared to single-source gas supply systems, multi-source gas supply systems obtain natural gas from different gas fields or suppliers. These different gas sources may come from different natural gas wells, pipelines, or liquefied natural gas (LNG) terminals. When the supply of one gas source is restricted or interrupted, the system can switch to other available gas sources to ensure continuous gas supply. It can also adjust and select gas sources according to demand, enabling the gas supply system to adapt to fluctuations and changes in market demand, as well as differences in seasonal demand. Therefore, multi-source gas supply systems have advantages such as greater flexibility and reliability.

[0003] However, multi-source gas supply systems are typically more complex, requiring more equipment and management resources to manage multiple gas sources. Consequently, system maintenance costs are higher. If the frequency of maintenance decreases, the failure rate of gas supply rate monitoring instruments increases, creating safety hazards. Furthermore, the quality of different gas sources may vary. Specifically, when a gas source switching station switches gas sources, the proportions of components such as methane, ethane, propane, butane, and sulfides differ due to the different gas sources. This results in different energy outputs per unit volume of natural gas, affecting user experience and fairness. Summary of the Invention

[0004] In view of this, the present invention provides a data management method and system for multi-source gas supply systems to solve the problems of inconsistent gas quality and high maintenance costs in multi-source gas supply systems.

[0005] The following technical solution is adopted: A data management method for a multi-source gas supply system, comprising:

[0006] Acquire and store pipeline characteristic data, pipeline gas supply rate and user demand rate, and determine whether to switch gas sources based on pipeline characteristic data, gas supply rate and user demand rate;

[0007] If the gas source is switched, the similarity of the gas source is obtained, and the gas supply rate is adjusted based on the pipeline feature data and the similarity of the gas source; if the gas source is not switched, the gas supply rate is adjusted based on the pipeline gas supply rate and the user demand rate.

[0008] If the determination is yes, adjust the gas supply rate; if the determination is no, maintain the current working state.

[0009] Pipeline characteristic data includes: pipeline gas storage value, pipeline temperature, and pipeline pressure; user demand rate satisfies the following relationship:

[0010]

[0011] Gas source similarity satisfies the following relationship:

[0012]

[0013] Where N is the user demand rate, t is the duration, n is the total demand for natural gas by users within duration t; S is the gas source similarity, A1 is the content of methane in gas source A, A2 is the content of ethane in gas source A, A3 is the content of propane in gas source A, A4 is the content of butane in gas source A, B1 is the content of methane in gas source B, B2 is the content of ethane in gas source B, B3 is the content of propane in gas source B, B4 is the content of butane in gas source B, α is the weight of methane, β is the weight of ethane, λ is the weight of propane, and δ is the weight of butane.

[0014] Furthermore, before determining whether to switch gas sources, after acquiring and storing pipeline characteristic data, pipeline gas supply rate, and user demand rate, noise reduction is also included, specifically:

[0015] With time as the vertical axis, and pipeline temperature, pipeline pressure, and pipeline gas supply rate as the vertical axes, establish a temperature coordinate system, a pressure coordinate system, and a gas supply rate coordinate system, respectively.

[0016] If an outlier is identified, no action is taken if no outlier is identified. If an outlier is identified, the system continues to check whether an outlier exists in either of the other two coordinate systems within the time frame of the outlier.

[0017] If the judgment result is negative, the outlier is eliminated and the stored data on pipeline temperature, pipeline pressure and pipeline gas supply rate are updated. If the judgment result is positive, it is determined whether there is a gas source switching behavior.

[0018] If the judgment result is yes, no action is taken; if the judgment result is no, the time point is recorded and a Class I alarm is issued.

[0019] Furthermore, based on pipeline characteristic data, gas supply rate, and user demand rate, it is determined whether the gas source needs to be switched, including: determining the pipeline gas supply rate level;

[0020] The pipeline temperature is denoted as T0. The preset pipeline temperatures are T1, T2, T3, T4, and T5, and 0 < T1 < T2 < T3 < T4 < T5.

[0021] Based on the pipe temperature T0, the first pipe temperature T1, the second pipe temperature T2, the third pipe temperature T3, the fourth pipe temperature T4, and the fifth pipe temperature T5, the gas supply rate level of the pipeline is determined, specifically including:

[0022] When 0 < T0 ≤ T1, the gas supply rate of the pipeline is determined as the gas supply rate of the first-level pipeline V1.

[0023] When T1 < T0 ≤ T2, the gas supply rate of the pipeline is determined to be the gas supply rate of the secondary pipeline V2.

[0024] When T2 < T0 ≤ T3, the gas supply rate of the pipeline is determined to be the gas supply rate V3 of the third-level pipeline.

[0025] When T3 < T0 ≤ T4, the gas supply rate of the pipeline is determined to be the gas supply rate of the fourth-level pipeline, V4.

[0026] When T4 < T0 ≤ T5, the gas supply rate of the pipeline is determined to be the fifth-level pipeline gas supply rate V5, where V1 < V2 < V3 < V4 < V5.

[0027] Furthermore, determining whether to switch gas sources based on pipeline characteristic data, gas supply rate, and user demand rate also includes: determining the theoretical pipeline gas supply rate based on the pipeline pressure after determining the pipeline gas supply rate level.

[0028] The pipeline pressure is P0. The preset pipeline pressures are P1, P2, P3, P4, and P5, and P1 < P2 < P3 < P4 < P5. The preset gas supply adjustment coefficients are x1, x2, x3, x4, and x5, and x1 < x2 < x3 < x4 < x5.

[0029] The gas supply adjustment coefficient is determined based on the pressure of the pipeline P0, the pressure of the first pipeline P1, the pressure of the second pipeline P2, the pressure of the third pipeline P3, the pressure of the fourth pipeline P4, and the pressure of the fifth pipeline P5.

[0030] When P0≤P1, the gas supply adjustment coefficient is determined to be the first gas supply adjustment coefficient x1, and the theoretical pipeline gas supply rate is Vi×x1.

[0031] When P1 < P0 ≤ P2, the gas supply adjustment coefficient is determined to be the second gas supply adjustment coefficient x2, and the theoretical pipeline gas supply rate is Vi × x2.

[0032] When P2 < P0 ≤ P3, the gas supply adjustment coefficient is determined to be the third gas supply adjustment coefficient x3, and the theoretical pipeline gas supply rate is Vi × x3.

[0033] When P3 < P0 ≤ P4, the gas supply adjustment coefficient is determined to be the fourth gas supply adjustment coefficient x4, and the theoretical pipeline gas supply rate is Vi × x4.

[0034] When P4 < P0 ≤ P5, the gas supply adjustment coefficient is determined to be the fifth gas supply adjustment coefficient x5, and the theoretical pipeline gas supply rate is Vi × x5.

[0035] Furthermore, determining whether to switch gas sources based on pipeline characteristic data, gas supply rate, and user demand rate also includes: determining the relationship between the theoretical pipeline gas supply rate and the actual pipeline gas supply rate.

[0036] If it is determined that the theoretical pipeline gas supply rate is greater than the pipeline gas supply rate, then the rate ratio η is the ratio of the pipeline gas supply rate to the theoretical pipeline gas supply rate.

[0037] Next, determine the relationship between the gas supply rate of the pipeline and the user demand rate.

[0038] If the gas supply rate of the pipeline is greater than or equal to the user demand rate, there is no need to switch the gas source.

[0039] If the gas supply rate in the pipeline is less than the user's demand rate, the gas source needs to be switched.

[0040] If it is determined that the theoretical pipeline gas supply rate is less than the pipeline gas supply rate, then the rate ratio η is the ratio of the theoretical pipeline gas supply rate to the pipeline gas supply rate.

[0041] Next, determine the relationship between the theoretical pipeline gas supply rate and the user demand rate.

[0042] If the theoretical pipeline gas supply rate is greater than or equal to the user demand rate, then there is no need to switch the gas source.

[0043] If the theoretical gas supply rate of the pipeline is less than the user's demand rate, then the gas source needs to be switched.

[0044] If the theoretical gas supply rate is equal to the actual gas supply rate, then when the gas supply rate is greater than or equal to the user demand rate, there is no need to switch the gas source; when the gas supply rate is less than the user demand rate, then there is a need to switch the gas source.

[0045] If η≤0.7, then a Class II alarm will be issued.

[0046] Furthermore, if the gas source is switched, the gas source similarity is obtained, and the gas supply rate is adjusted based on the pipeline feature data and the gas source similarity, including:

[0047] The similarity of the gas source is S0. The similarity of the first gas source is S1, the similarity of the second gas source is S2, the similarity of the third gas source is S3, the similarity of the fourth gas source is S4, and the similarity of the fifth gas source is S5, and S1 < S2 < S3 < S4 < S5. The first-level correction coefficient is y1, the second-level correction coefficient is y2, the third-level correction coefficient is y3, the fourth-level correction coefficient is y4, and the fifth-level correction coefficient is y5, and y1 > y2 > y3 > y4 > y5.

[0048] The correction coefficient level is determined based on the similarity of the gas source S0, the first gas source similarity S1, the second gas source similarity S2, the third gas source similarity S3, the fourth gas source similarity S4, and the fifth gas source similarity S5.

[0049] When S0≤S1, the correction factor level is determined to be the first-level correction factor y1, and the theoretical pipeline gas supply rate is Vi×xr×y1.

[0050] When S1 < S0 ≤ S2, the correction factor level is determined to be the second-level correction factor y2, and the theoretical pipeline gas supply rate is Vi × xr × y2.

[0051] When S2 < S0 ≤ S3, the correction factor level is determined to be the third-level correction factor y3, and the theoretical pipeline gas supply rate is Vi × xr × y3.

[0052] When S3 < S0 ≤ S4, the correction factor level is determined to be the fourth-level correction factor y4, and the theoretical pipeline gas supply rate is Vi × xr × y4.

[0053] When S4 < S0 ≤ S5, the correction coefficient level is determined to be the fifth-level correction coefficient y5. At this time, the theoretical pipeline gas supply rate is Vi × xr × y5; where r = 1, 2, 3, 4, 5.

[0054] Furthermore, if the gas source is not switched, it is determined whether to adjust the gas supply rate, including:

[0055] If the theoretical gas supply rate is greater than or equal to N, then no adjustment of the gas supply rate is required; if the gas supply rate is less than N, then the gas supply rate needs to be adjusted.

[0056] Furthermore, the gas supply rate is adjusted as follows:

[0057] A preset readjustment factor z is given, and the readjustment factor z satisfies the following relationship:

[0058]

[0059] The value of the readjustment coefficient z is obtained in real time, and the increase in pipeline pressure is stopped when z≥1.

[0060] On the other hand, this invention discloses a data management system for a multi-source gas supply system, comprising at least:

[0061] The data acquisition module is used to acquire and store pipeline characteristic data, pipeline gas supply rate, and user demand rate.

[0062] The processing module is used to judge, adjust, and correct data, and to reduce noise in the data collected by the acquisition module.

[0063] The control module is used to adjust the gas supply rate and pipeline pressure according to the instructions of the processing module.

[0064] Furthermore, the system also includes an alarm module for issuing alarms. The data acquisition module, processing module, and control module are electrically connected in sequence, and the alarm module is electrically connected to the processing module.

[0065] Compared with existing technologies, the data management method and system for a multi-source gas supply system according to embodiments of the present invention have the following advantages:

[0066] Improved gas supply system performance and quality: The system can intelligently determine whether to switch gas sources based on pipeline characteristic data and user needs, and adjust the gas supply rate according to the similarity of gas sources during the switch, thereby improving the performance and quality of the gas supply system and ensuring that users' gas needs are met; Enhanced data quality: Through data noise reduction and outlier processing, the system can improve the accuracy and reliability of data, ensuring more credible data-driven decisions; Intelligent gas supply adjustment: The system intelligently adjusts the gas supply rate based on pipeline temperature, pressure, and other characteristics, as well as dynamic changes in user demand rates, to adapt to changes in different gas sources and gas demands, thereby reducing the operating costs and energy consumption of the gas supply system; Real-time pressure control. Control: The system can adjust the gas supply rate according to real-time changes in pipeline pressure to ensure that the gas pressure in the pipeline is within a safe range, improving the stability and reliability of the gas supply system; Alarm and Anomaly Handling: The system has an alarm function, which can respond promptly to pipeline anomalies, improving the safety of the gas supply system and allowing operators to take necessary measures to handle anomalies; Energy Saving and Resource Optimization: Through intelligent gas supply adjustment and multi-level correction coefficients, the system can more effectively utilize different gas sources, thereby reducing energy waste and gas supply costs; Automated Operation and Maintenance: The system's automation features reduce the need for operation and maintenance personnel, lower maintenance costs, and improve the automated operation efficiency of the gas supply system. Attached Figure Description

[0067] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0068] Figure 1 This is a flowchart of the data management method for a multi-source gas supply system provided in an embodiment of the present invention;

[0069] Figure 2 This is a functional block diagram of the multi-source gas supply system data management system provided in the embodiments of the present invention. Detailed Implementation

[0070] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0071] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0072] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0073] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0074] like Figure 1 As shown, a preferred embodiment of the present invention provides a data management method for a multi-source gas supply system, comprising:

[0075] Acquire and store pipeline characteristic data, pipeline gas supply rate and user demand rate, and determine whether to switch gas sources based on pipeline characteristic data, gas supply rate and user demand rate;

[0076] If the gas source is switched, the similarity of the gas source is obtained, and the gas supply rate is adjusted based on the pipeline feature data and the similarity of the gas source; if the gas source is not switched, the gas supply rate is adjusted based on the pipeline gas supply rate and the user demand rate.

[0077] If the determination is yes, adjust the gas supply rate; if the determination is no, maintain the current working state.

[0078] Pipeline characteristic data includes: pipeline gas storage value, pipeline temperature, and pipeline pressure; user demand rate satisfies the following relationship:

[0079]

[0080] Gas source similarity satisfies the following relationship:

[0081]

[0082] Where N is the user demand rate, t is the duration, n is the total demand for natural gas by users within duration t; S is the gas source similarity, A1 is the content of methane in gas source A, A2 is the content of ethane in gas source A, A3 is the content of propane in gas source A, A4 is the content of butane in gas source A, B1 is the content of methane in gas source B, B2 is the content of ethane in gas source B, B3 is the content of propane in gas source B, B4 is the content of butane in gas source B, α is the weight of methane, β is the weight of ethane, λ is the weight of propane, and δ is the weight of butane.

[0083] It should be noted that α, β, λ, and δ are all percentages less than 1, determined based on the heats of combustion of methane, ethane, propane, and butane, respectively. The higher the corresponding heat of combustion, the larger the percentage. The user demand rate is the amount of natural gas demanded by users per unit time, the gas supply rate is the total amount of natural gas that the multi-source gas supply system can provide per unit time, and the gas source similarity is the degree of similarity of the main effective components in the natural gas before and after switching gas sources.

[0084] Understandably, this method can intelligently determine whether to switch gas sources based on actual conditions. When the supply of a certain gas source is limited or interrupted, the system can switch to other available gas sources in a timely manner to ensure continuous gas supply and improve the flexibility of the gas supply system.

[0085] By monitoring pipeline characteristic data, gas supply rate, and user demand rate, the system can promptly identify problems and take measures to ensure the stable operation of the gas supply system, thus improving its reliability. This method can dynamically adjust the gas supply rate based on user demand rate to meet demand fluctuations at different times. This helps ensure that users always have the natural gas supply they need, improving user satisfaction. Through intelligent judgment and adjustment of the gas supply rate, the system can more effectively manage multi-source gas supply systems, reducing unnecessary switching and adjustments, thereby lowering system operating costs. The gas source similarity calculation in the method considers the compositional differences between different gas sources, and uses weight allocation to account for the impact of different components, which helps maintain the quality and consistency of the gas supply.

[0086] In some embodiments, before determining whether to switch the gas source, after acquiring and storing pipeline characteristic data, pipeline gas supply rate, and user demand rate, noise reduction is also included, specifically:

[0087] With time as the vertical axis, and pipeline temperature, pipeline pressure, and pipeline gas supply rate as the vertical axes, establish a temperature coordinate system, a pressure coordinate system, and a gas supply rate coordinate system respectively;

[0088] Identify whether there are outliers. If no outliers are found, no action is taken. If an outlier is found, continue to check whether there are outliers in either of the other two coordinate systems at the time point where the outlier is located.

[0089] If the judgment result is negative, the outlier is eliminated and the stored data on pipeline temperature, pipeline pressure and pipeline gas supply rate are updated. If the judgment result is positive, it is determined whether there is a gas source switching behavior.

[0090] If the judgment result is yes, no action is taken; if the judgment result is no, the time point is recorded and a Class I alarm is issued.

[0091] It should be noted that the outlier identification method is as follows: divide the range of any set of adjacent data by the mean of the set of data. If it is greater than a certain set value, it is considered an outlier. This set value can be set and adjusted according to the degree of change of actual pipeline temperature, pipeline pressure, and gas supply rate.

[0092] Understandably, noise reduction can improve data quality and accuracy by identifying and addressing outliers. Outliers can arise from sensor malfunctions, data transmission errors, or anomalies; addressing these outliers helps ensure subsequent data analysis and decision-making are based on reliable data. Outliers can lead to misjudgments or unstable system behavior. By removing outliers and updating pipeline temperature, pressure, and gas supply rate data, noise reduction reduces unnecessary interference, helping to maintain system stability and consistency. Multi-source gas supply systems rely on pipeline characteristic data for decisions such as gas supply scheduling and source switching. By eliminating outliers, noise reduction ensures these decisions are based on reliable data, helping the system respond more accurately to user needs and gas source switching. Without noise reduction, false alarms about gas source switching or alerts may occur, leading to unnecessary intervention and costs. Noise reduction helps reduce false alarm rates, minimizing unnecessary operations and interference. Noise reduction can identify and respond to anomalies, such as the appearance of outliers, in real time. This means the system can detect potential problems faster, take appropriate measures, and improve system response speed and problem-solving capabilities.

[0093] In some embodiments, determining whether to switch gas sources based on pipeline characteristic data, gas supply rate and user demand rate includes: determining the pipeline gas supply rate level;

[0094] The pipeline temperature is denoted as T0. The preset temperatures are T1 for the first pipeline, T2 for the second pipeline, T3 for the third pipeline, T4 for the fourth pipeline, and T5 for the fifth pipeline, with 0 < T1 < T2 < T3 < T4 < T5. The preset gas supply rates are V1 for the first-stage pipeline, V2 for the second-stage pipeline, V3 for the third-stage pipeline, V4 for the fourth-stage pipeline, and V5 for the fifth-stage pipeline, with V1 < V2 < V3 < V4 < V5.

[0095] The gas supply rate level of the pipeline is determined based on the relationship between the pipeline temperature T0 and the preset pipeline temperatures.

[0096] When 0 < T0 ≤ T1, the gas supply rate of the pipeline is determined to be the gas supply rate of the first-level pipeline V1;

[0097] When T1 < T0 ≤ T2, the gas supply rate of the pipeline is determined to be the gas supply rate of the secondary pipeline V2;

[0098] When T2 < T0 ≤ T3, the gas supply rate of the pipeline is determined to be the gas supply rate of the third-level pipeline V3;

[0099] When T3 < T0 ≤ T4, the gas supply rate of the pipeline is determined to be the gas supply rate of the fourth-level pipeline, V4.

[0100] When T4 < T0 ≤ T5, the gas supply rate of the pipeline is determined to be the gas supply rate of the fifth-level pipeline, V5.

[0101] Understandably, real-time adjustment of the gas supply rate is crucial. By monitoring pipeline temperature, the system can dynamically determine the gas supply rate level based on actual conditions. This means the system can adjust the gas supply rate in real time according to changes in pipeline temperature to adapt to different operating conditions and ensure the stability of the gas supply system. Adjusting the gas supply rate level based on pipeline temperature allows for a more precise match between pipeline temperature and gas supply rate, avoiding unnecessary energy waste. This helps conserve natural gas resources and reduce operating costs. By adjusting the gas supply rate level based on pipeline temperature, the system can allocate natural gas resources more effectively, ensuring a stable gas supply rate under different temperature conditions. This helps improve the efficiency of the gas supply system and reduce the impact of gas supply fluctuations on users. By monitoring pipeline temperature and adjusting the gas supply rate level in real time, the system can more promptly detect and address potential problems, reducing the risk of system failures and operational instability, and improving system reliability and safety.

[0102] In some embodiments, determining whether to switch gas sources based on pipeline characteristic data, gas supply rate and user demand rate also includes: after determining the pipeline gas supply rate level, determining the theoretical pipeline gas supply rate based on the pipeline pressure.

[0103] The pipeline pressure is P0. The preset pipeline pressures are P1 (first pipeline), P2 (second pipeline), P3 (third pipeline), P4 (fourth pipeline), and P5 (fifth pipeline), where P1 < P2 < P3 < P4 < P5. The preset gas supply adjustment coefficients are x1 (first gas supply), x2 (second gas supply), x3 (third gas supply), x4 (fourth gas supply), and x5 (fifth gas supply), where x1 < x2 < x3 < x4 < x5.

[0104] The gas supply adjustment coefficient is determined based on the relationship between the pipeline pressure P0 and the preset pipeline pressures.

[0105] When P0≤P1, the gas supply adjustment coefficient is determined to be the first gas supply adjustment coefficient x1, and the theoretical pipeline gas supply rate is Vi×x1;

[0106] When P1 < P0 ≤ P2, the gas supply adjustment coefficient is determined to be the second gas supply adjustment coefficient x2, and the theoretical pipeline gas supply rate is Vi × x2;

[0107] When P2<P0≤P3, the gas supply adjustment coefficient is determined to be the third gas supply adjustment coefficient x3, and the theoretical pipeline gas supply rate is Vi×x3;

[0108] When P3 < P0 ≤ P4, the gas supply adjustment coefficient is determined to be the fourth gas supply adjustment coefficient x4, and the theoretical pipeline gas supply rate is Vi × x4.

[0109] When P4 < P0 ≤ P5, the gas supply adjustment coefficient is determined to be the fifth gas supply adjustment coefficient x5, and the theoretical pipeline gas supply rate is Vi × x5.

[0110] It's important to note that by adjusting the theoretical gas supply rate based on pipeline pressure, the system can more flexibly respond to varying pressure conditions. This means the system can quickly adjust the supply rate to meet user needs in the event of pressure fluctuations or changes in gas supply. Adjusting the supply rate based on pipeline pressure helps optimize resource utilization. When pipeline pressure is high, the supply rate can be increased to meet higher demand, thus fully utilizing available resources. Conversely, when pipeline pressure is low, the supply rate can be reduced to avoid wasting gas. By adjusting the supply rate based on pipeline pressure, the system can better balance supply and demand. This helps improve energy efficiency, reduce energy waste, and lower operating costs. Theoretically adjusting the supply rate helps the system maintain a stable gas supply, avoiding excessively high or low pressures, thereby improving system stability and reliability. By providing a stable supply rate under different pressure conditions, the system can improve user satisfaction and ensure a consistent gas supply experience.

[0111] In some embodiments, determining whether to switch gas sources based on pipeline characteristic data, gas supply rate, and user demand rate also includes: determining the relationship between the theoretical pipeline gas supply rate and the pipeline gas supply rate.

[0112] If it is determined that the theoretical pipeline gas supply rate is greater than the actual pipeline gas supply rate, then the rate ratio η is the ratio of the actual pipeline gas supply rate to the theoretical pipeline gas supply rate; then determine the relationship between the pipeline gas supply rate and the user demand rate; if the pipeline gas supply rate is greater than or equal to the user demand rate, then there is no need to switch the gas source; if the pipeline gas supply rate is less than the user demand rate, then there is a need to switch the gas source.

[0113] If the theoretical pipeline gas supply rate is determined to be less than the actual pipeline gas supply rate, then the rate ratio η is the ratio of the theoretical pipeline gas supply rate to the actual pipeline gas supply rate. Next, the relationship between the theoretical pipeline gas supply rate and the user demand rate is determined. If the theoretical pipeline gas supply rate is greater than or equal to the user demand rate, then there is no need to switch the gas source; if the theoretical pipeline gas supply rate is less than the user demand rate, then there is a need to switch the gas source.

[0114] If the theoretical gas supply rate is equal to the actual gas supply rate, then when the gas supply rate is greater than or equal to the user demand rate, there is no need to switch the gas source; when the gas supply rate is less than the user demand rate, then there is a need to switch the gas source.

[0115] Furthermore, if η≤0.7, a Class II alarm will be issued.

[0116] For example, take a theoretical pipeline gas supply rate of V5×x5 as an example.

[0117] If it is determined that V5×x5>V0, then the rate ratio η is calculated according to the following relationship:

[0118]

[0119] At this point, select V0 and continue to determine its relationship with the user demand rate. If V0 ≥ N, then there is no need to switch the gas source; if V0 < N, then there is a need to switch the gas source.

[0120] If it is determined that V5×x5<V0, then the rate ratio η is calculated according to the following relationship:

[0121]

[0122] At this point, select V5×x5 and continue to determine its relationship with the user demand rate. If V5×x5 ≥

[0123] If N is less than N, then there is no need to switch the gas source. If V5×x5<N, then there is a need to switch the gas source.

[0124] If V5×x5=V0, then when V5×x5=V0≥N, there is no need to switch the gas source; when V5×x5=V0<N, then there is a need to switch the gas source.

[0125] Understandably, this step effectively optimizes gas source utilization by comparing the relationship between the theoretical gas supply rate (e.g., V5×x5 as mentioned above) and the user demand rate (N). If the theoretical gas supply rate is sufficient to meet user demand (e.g., V5×x5≥N), there is no need to switch the gas source, thus avoiding unnecessary switching and complexity. This helps save time and resources required for switching gas sources. Avoiding unnecessary gas source switching maintains system stability and reliability. Frequent gas source switching can lead to system instability, while switching only when needed reduces system interference and improves gas supply reliability. Avoiding unnecessary gas source switching reduces system operating costs. Switching gas sources requires additional equipment and resources, while switching only when actually needed reduces maintenance and operating costs. By ensuring that the gas supply rate meets user demand, the system can improve user satisfaction. Avoiding insufficient gas supply rates helps prevent user complaints and dissatisfaction. This judgment mechanism enables the system to better cope with demand fluctuations. Switching the gas source only when the gas supply rate cannot meet user demand means that the system can adapt to fluctuations in market demand rather than switching prematurely. By determining whether to switch gas sources based on changes in gas supply rate and user demand rate, the system can more effectively utilize the energy from different gas sources, thereby reducing energy costs. Switching to a lower-cost gas source saves operating costs. By considering user demand rate, the system ensures that user gas needs are always met under varying load conditions, whether high or low. Calculating the rate ratio η helps the system evaluate the efficiency of different gas sources, thus selecting the optimal supply source. This contributes to improving the overall efficiency and performance of the system. By avoiding unnecessary gas source switching, the system reduces energy waste, as switching typically requires additional energy for startup and shutdown. When the rate ratio η is less than or equal to 0.7, a Class II alarm is issued, which helps to promptly identify and resolve system malfunctions or gas supply problems, ensuring system safety and stability.

[0126] In some embodiments, if the gas source is switched, the gas source similarity is obtained, and the gas supply rate is adjusted based on the pipeline feature data and the gas source similarity, including:

[0127] The similarity of the gas sources is S0. The similarity of the first gas source is S1, the similarity of the second gas source is S2, the similarity of the third gas source is S3, the similarity of the fourth gas source is S4, and the similarity of the fifth gas source is S5, and S1 < S2 < S3 < S4 < S5; the first-level correction coefficient is y1, the second-level correction coefficient is y2, the third-level correction coefficient is y3, the fourth-level correction coefficient is y4, and the fifth-level correction coefficient is y5, and y1 > y2 > y3 > y4 > y5.

[0128] The correction coefficient level is determined based on the relationship between the gas source similarity S0 and the similarity of each preset gas source.

[0129] When S0≤S1, the correction factor level is determined to be the first-level correction factor y1, and the theoretical pipeline gas supply rate is Vi×xr×y1.

[0130] When S1<S0≤S2, the correction factor level is determined to be the second-level correction factor y2, and the theoretical pipeline gas supply rate is Vi×xr×y2.

[0131] When S2<S0≤S3, the correction factor level is determined to be the third-level correction factor y3, and the theoretical pipeline gas supply rate is Vi×xr×y3.

[0132] When S3<S0≤S4, the correction factor level is determined to be the fourth-level correction factor y4, and the theoretical pipeline gas supply rate is Vi×xr×y4.

[0133] When S4 < S0 ≤ S5, the correction coefficient level is determined to be the fifth-level correction coefficient y5. At this time, the theoretical pipeline gas supply rate is Vi × xr × y5; where r = 1, 2, 3, 4, 5.

[0134] Understandably, by considering gas source similarity and correction coefficients, the system can more accurately determine the actual gas source similarity, thus better guiding gas source switching decisions. This helps ensure that the most similar gas source is selected when switching, reducing unnecessary switching and improving system operating efficiency. By correcting based on gas source similarity, the gas supply rate can be adjusted to ensure that the gas supply quality matches user needs. This helps provide a more stable and reliable gas supply, thereby improving user satisfaction. Due to the more accurate assessment of gas source similarity, the system can perform fewer gas source switches. Reducing the frequency of switches can reduce system instability and maintenance costs, improving system maintainability. Based on different correction coefficient levels, the system can better adapt to differences between gas sources. This means that the system can better cope with changes between different gas sources, thereby enhancing system robustness. By adjusting the gas supply rate to better adapt to the actual gas source similarity, the system can save energy. This helps reduce operating costs and energy waste.

[0135] In some embodiments, if the gas source is not switched, it is determined whether to adjust the gas supply rate, including:

[0136] If the gas supply rate Vi×xr ≥ N, then no adjustment of the gas supply rate is required; if the gas supply rate Vi×xr < N, then the gas supply rate needs to be adjusted.

[0137] In some embodiments, the adjustment of the gas supply rate is specifically as follows:

[0138] A preset readjustment factor z is given, and the readjustment factor z satisfies the following relationship:

[0139]

[0140] The value of z is obtained in real time, and the pipeline pressure is increased until z≥1, at which point the increase in pipeline pressure is stopped.

[0141] It's important to note the real-time adjustment of the gas supply rate: By comparing the pipeline gas supply rate (Vi×xr) with the user demand rate (N), the system can dynamically adjust the gas supply rate based on actual demand and pipeline characteristics. This ensures that the natural gas supply matches user demand, improving gas quality and user satisfaction. If the gas supply rate doesn't need adjustment, the system avoids unnecessary gas waste, saving energy. This helps reduce operating costs, minimizes natural gas waste, and improves the system's economics. By adjusting the gas supply rate according to actual demand and pipeline characteristics, the system can avoid situations where the gas supply rate is too high or too low. This helps maintain system stability and reliability, reducing gas supply-related problems. By dynamically adjusting the gas supply rate, the system can better adapt to gas source characteristics and user demands under different conditions. This improves system operating efficiency and reduces the complexity of system maintenance and operation. By avoiding unnecessary adjustments to the gas supply rate, the system can reduce operational intervention and maintenance needs. This reduces system maintenance costs and extends system lifespan. When adjusting the gas supply rate based on pipeline pressure, the system is equipped with a readjustment factor z to ensure that adjustment stops when the pressure increases, thus avoiding the adverse effects of excessively high pressure on the system. This helps maintain system stability and safety.

[0142] This embodiment also provides a data management system for a multi-source gas supply system. Figure 2 This is a functional block diagram of the multi-source gas supply system data management system provided in an embodiment of the present invention, such as... Figure 2 As shown, the data management system for the multi-source gas supply system includes:

[0143] The data acquisition module is used to acquire and store pipeline characteristic data, pipeline gas supply rate, and user demand rate.

[0144] The processing module is used to judge, adjust, and correct data, and to reduce noise in the data collected by the acquisition module.

[0145] The control module is used to adjust the gas supply rate and pipeline pressure according to the instructions of the processing module.

[0146] In some embodiments, the system further includes an alarm module for issuing an alarm. The acquisition module, processing module, and control module are electrically connected in sequence, and the alarm module is electrically connected to the processing module.

[0147] Understandably, the acquisition module is responsible for acquiring and storing crucial information such as pipeline characteristic data, gas supply rate, and user demand rate. This helps establish the system's data foundation for further processing and analysis. The processing module analyzes and processes the acquired data, including determining whether to switch gas sources or adjust the gas supply rate. This ensures the rationality and accuracy of the data in real-time operation, contributing to improved gas supply system performance. The processing module can also perform data correction, for example, correcting the gas supply rate based on gas source similarity. This helps to more accurately correct the data according to actual conditions, improving system stability and reliability. The control module is responsible for adjusting the actual gas supply rate according to the instructions from the processing module. This ensures the system can adjust the gas supply rate promptly as needed to meet user demands, improving gas supply quality. In some embodiments, the alarm module is electrically connected to the processing module, meaning the system can generate alarms based on the processing module's analysis results to respond promptly to abnormal situations. This helps improve system security and manageability. The design and integration of the entire system give it the characteristics of automation and intelligence. It can autonomously manage data and adjust the gas supply rate according to the actual situation, reducing the workload of operators and improving the system's efficiency and response speed.

[0148] In summary, this invention provides a data governance method and system for a multi-source gas supply system, which features: Intelligent decision-making and optimized gas supply: The method and system intelligently determine whether to switch gas sources and adjust the gas supply rate based on pipeline characteristic data, gas supply rate, and user demand rate, thereby improving the performance and efficiency of the gas supply system. Automated decision-making reduces human intervention and ensures the system operates in optimal condition. Data quality improvement: The system establishes a coordinate system for temperature, pressure, and gas supply rate to identify and process outliers in the data, thereby improving the accuracy and reliability of the data. Gas source matching and adjustment: When switching gas sources, the system obtains gas source similarity and adjusts the gas supply rate according to pipeline characteristic data to ensure that the switched gas source better meets user needs and improves gas supply quality. The system's multi-level correction coefficients allow for fine-tuning of the gas supply rate, ensuring full utilization of the gas source. Dynamic pipeline pressure adjustment: Based on the pipeline pressure, the system dynamically adjusts the gas supply rate to maintain the gas pressure within the pipeline within an appropriate range, improving the stability and reliability of the gas supply. Alarms and Safety: The system features alarm functions, enabling timely response to abnormal situations and improving the safety and ease of management of the gas supply system. Energy Saving and Resource Optimization: Through intelligent decision-making and data governance, the methods and system reduce gas supply costs, optimize the use of different gas sources, and improve the effective utilization of energy resources. Automated Operation and Maintenance and Reduced Manual Intervention: The system's automation reduces the need for operation and maintenance work, lightens the workload of operators, and improves the automated operation efficiency of the gas supply system.

[0149] The above description is merely one embodiment of the present invention, but it cannot be used to limit the scope of the present invention. Any structural changes made based on the present invention, as long as they do not lose the essence of the present invention, should be considered to fall within the protection scope of the present invention and be subject to its restrictions.

[0150] It should be noted that the system provided in the above embodiments is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be further decomposed or combined. For example, the modules in the above embodiments can be merged into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the various modules or steps and are not considered as an improper limitation of the present invention.

[0151] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus / device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent in such process, method, article, or apparatus / device.

[0152] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will all fall within the scope of protection of the present invention.

[0153] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention.

Claims

1. A data management method for a multi-source gas supply system, characterized in that, include: Acquire and store pipeline characteristic data, pipeline gas supply rate and user demand rate, and determine whether to switch gas sources based on the pipeline characteristic data, the gas supply rate and the user demand rate; If the gas source is switched, the gas source similarity is obtained, and the gas supply rate is adjusted based on the pipeline feature data and the gas source similarity; if the gas source is not switched, it is determined whether to adjust the gas supply rate based on the pipeline gas supply rate and the user demand rate. If the determination is yes, then adjust the gas supply rate; If the judgment is negative, then maintain the current working state; The pipeline characteristic data includes: pipeline gas storage value, pipeline temperature, and pipeline pressure; The user demand rate satisfies the following relationship: ； The similarity of the gas sources satisfies the following relationship: ； Where N is the user demand rate, t is the duration, n is the total demand for natural gas by users within duration t; S is the gas source similarity, A1 is the content of methane in gas source A, A2 is the content of ethane in gas source A, A3 is the content of propane in gas source A, A4 is the content of butane in gas source A, B1 is the content of methane in gas source B, B2 is the content of ethane in gas source B, B3 is the content of propane in gas source B, B4 is the content of butane in gas source B, α is the weight of methane, β is the weight of ethane, λ is the weight of propane, and δ is the weight of butane.

2. The data management method for a multi-source gas supply system according to claim 1, characterized in that, Before determining whether to switch the gas source, noise reduction is also included, specifically: With time as the vertical axis, and the pipeline temperature, pipeline pressure, and pipeline gas supply rate as the vertical axes, establish a temperature coordinate system, a pressure coordinate system, and a gas supply rate coordinate system, respectively. Identify whether there are outliers. If no outliers are found, no action is taken. If an outlier is found, continue to check whether there are outliers in either of the other two coordinate systems at the time point where the outlier is located. If the judgment result is negative, then the outlier point is eliminated and the stored data of the pipeline temperature, the pipeline pressure and the pipeline gas supply rate are updated. If the judgment result is positive, then it is determined whether there is a gas source switching behavior. If the judgment result is yes, no action is taken; if the judgment result is no, the time point is recorded and a Class I alarm is issued.

3. The data management method for a multi-source gas supply system according to claim 2, characterized in that, Determining whether to switch gas sources based on the pipeline characteristic data, the gas supply rate, and the user demand rate includes: determining the pipeline gas supply rate level; The pipeline temperature is denoted as T0. The first pipeline temperature is T1, the second pipeline temperature is T2, the third pipeline temperature is T3, the fourth pipeline temperature is T4, and the fifth pipeline temperature is T5, and 0 < T1 < T2 < T3 < T4 < T5. Based on the pipeline temperature T0, the first pipeline temperature T1, the second pipeline temperature T2, the third pipeline temperature T3, the fourth pipeline temperature T4, and the fifth pipeline temperature T5, the gas supply rate level of the pipeline is determined, specifically including: When 0 < T0 ≤ T1, the gas supply rate of the pipeline is determined to be the first-level pipeline gas supply rate V1; When T1 < T0 ≤ T2, the gas supply rate of the pipeline is determined to be the gas supply rate of the secondary pipeline V2; When T2 < T0 ≤ T3, the gas supply rate of the pipeline is determined to be the gas supply rate V3 of the three-stage pipeline. When T3 < T0 ≤ T4, the gas supply rate of the pipeline is determined to be the fourth-level pipeline gas supply rate V4. When T4 < T0 ≤ T5, the gas supply rate of the pipeline is determined to be the fifth-level pipeline gas supply rate V5, where V1 < V2 < V3 < V4 < V5.

4. The data management method for a multi-source gas supply system according to claim 3, characterized in that, Determining whether to switch gas sources based on the pipeline characteristic data, the gas supply rate, and the user demand rate also includes: determining the theoretical pipeline gas supply rate based on the pipeline pressure after determining the pipeline gas supply rate level. The pipeline pressure is P0, and the preset pipeline pressures are P1, P2, P3, P4, and P5, with P1 < P2 < P3 < P4 < P5; the preset gas supply adjustment coefficients are x1, x2, x3, x4, and x5, with x1 < x2 < x3 < x4 < x5. The gas supply adjustment coefficient is determined based on the pipeline pressure P0, the first pipeline pressure P1, the second pipeline pressure P2, the third pipeline pressure P3, the fourth pipeline pressure P4, and the fifth pipeline pressure P5. When P0≤P1, the gas supply adjustment coefficient is determined to be the first gas supply adjustment coefficient x1, and the theoretical pipeline gas supply rate is Vi×x1; When P1 < P0 ≤ P2, the gas supply adjustment coefficient is determined to be the second gas supply adjustment coefficient x2, and the theoretical pipeline gas supply rate is Vi × x2; When P2 < P0 ≤ P3, the gas supply adjustment coefficient is determined to be the third gas supply adjustment coefficient x3, and the theoretical pipeline gas supply rate is Vi × x3; When P3 < P0 ≤ P4, the gas supply adjustment coefficient is determined to be the fourth gas supply adjustment coefficient x4, and the theoretical pipeline gas supply rate is Vi × x4; When P4 < P0 ≤ P5, the gas supply adjustment coefficient is determined to be the fifth gas supply adjustment coefficient x5, and the theoretical pipeline gas supply rate is Vi × x5.

5. The data management method for a multi-source gas supply system according to claim 4, characterized in that, Determining whether to switch gas sources based on the pipeline characteristic data, the gas supply rate, and the user demand rate also includes: determining the relationship between the theoretical pipeline gas supply rate and the pipeline gas supply rate. If it is determined that the theoretical pipeline gas supply rate is greater than the pipeline gas supply rate, then the rate ratio η is the ratio of the pipeline gas supply rate to the theoretical pipeline gas supply rate. Next, determine the relationship between the gas supply rate of the pipeline and the user demand rate; If the gas supply rate of the pipeline is greater than or equal to the user demand rate, then there is no need to switch the gas source; If the gas supply rate of the pipeline is less than the user demand rate, the gas source needs to be switched. If it is determined that the theoretical pipeline gas supply rate is less than the pipeline gas supply rate, then the rate ratio η is the ratio of the theoretical pipeline gas supply rate to the pipeline gas supply rate. Next, determine the relationship between the theoretical pipeline gas supply rate and the user demand rate; If the theoretical pipeline gas supply rate is greater than or equal to the user demand rate, then there is no need to switch the gas source; If the theoretical pipeline gas supply rate is less than the user demand rate, then the gas source needs to be switched. If the theoretical pipeline gas supply rate is equal to the pipeline gas supply rate, then when the pipeline gas supply rate is greater than or equal to the user demand rate, there is no need to switch the gas source; when the pipeline gas supply rate is less than the user demand rate, then there is a need to switch the gas source. If η≤0.7, then a Class II alarm will be issued.

6. The data management method for a multi-source gas supply system according to claim 5, characterized in that, If the gas source is switched, the gas source similarity is obtained, and the gas supply rate is adjusted based on the pipeline feature data and the gas source similarity, including: The gas source similarity is S0. Preset gas source similarities S1, S2, S3, S4, and S5, with S1 < S2 < S3 < S4 < S5. Preset first-level correction coefficients y1, y2, y3, y4, and y5, with y1 > y2 > y3 > y4 > y5. Based on the gas source similarity S0, the first gas source similarity S1, the second gas source similarity S2, the third gas source similarity S3, the fourth gas source similarity S4, and the fifth gas source similarity S5, the correction coefficient level is determined; When S0≤S1, the correction coefficient level is determined to be the first-level correction coefficient y1, and the theoretical pipeline gas supply rate is Vi×xr×y1. When S1 < S0 ≤ S2, the correction coefficient level is determined to be the second-level correction coefficient y2, and the theoretical pipeline gas supply rate is Vi × xr × y2. When S2<S0≤S3, the correction coefficient level is determined to be the third-level correction coefficient y3, and the theoretical pipeline gas supply rate is Vi×xr×y3; When S3 < S0 ≤ S4, the correction coefficient level is determined to be the fourth-level correction coefficient y4, and the theoretical pipeline gas supply rate is Vi × xr × y4. When S4 < S0 ≤ S5, the correction coefficient level is determined to be the fifth-level correction coefficient y5, and the theoretical pipeline gas supply rate is Vi × xr × y5; where r = 1, 2, 3, 4, 5.

7. The data management method for a multi-source gas supply system according to claim 6, characterized in that, If the gas source is not switched, determine whether to adjust the gas supply rate, including: If the theoretical gas supply rate of the pipeline is ≥ N, then there is no need to adjust the gas supply rate; if the gas supply rate of the pipeline is < N, then there is a need to adjust the gas supply rate.

8. The data management method for a multi-source gas supply system according to claim 7, characterized in that, The adjustment of the gas supply rate is specifically as follows: A preset readjustment factor z is defined, and the readjustment factor z satisfies the following relationship: ； The value of the readjustment coefficient z is obtained in real time, and the increase in pipeline pressure is stopped when z≥1.

9. A data management system for a multi-source gas supply system, characterized in that, The data management method for a multi-source gas supply system according to any one of claims 1-8 includes at least: The data acquisition module is used to acquire and store pipeline characteristic data, pipeline gas supply rate, and user demand rate. The processing module is used to judge, adjust, and correct data, and to reduce noise in the data acquired by the acquisition module. The control module is used to adjust the gas supply rate and pipeline pressure according to the instructions of the processing module.

10. The data management system for a multi-source gas supply system according to claim 9, characterized in that, The system also includes an alarm module, which is used to issue an alarm. The acquisition module, the processing module, and the control module are electrically connected in sequence, and the alarm module is electrically connected to the processing module.

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