Intelligent monitoring method for gas pipe network based on SCADA (supervisory control and data acquisition) system

Abstract

The invention relates to the technical field of data transmission, and particularly discloses an intelligent monitoring method for a gas pipe network based on an SCADA (Supervisory Control and Data Acquisition) system, which comprises the following steps: S1, determining data acquisition points in a preset monitoring area, and taking the data acquisition points below a standard plane as initial points; s2, determining a reference surface corresponding to the initial point, and determining a target point according to the distance between the initial point and an initial point above the reference surface; sorting the target points, determining a standard distance between the first target point in the sorting and the to-be-selected point, and determining an optimal point according to the standard distance; s3, connecting the target point and the optimal point to obtain a reference line segment, and taking the midpoint of the reference line segment as a data relay point; and taking the data relay point as an initial point, re-determining whether the target point in the sequence continues to serve as the target point, and determining the data relay point corresponding to the target point in the sequence. The reliability and the stability in the data transmission process are improved by arranging the data transfer points.

Description

Technical Field

[0001] The present invention relates to the technical field of data transmission, and in particular to an intelligent monitoring method for a gas pipeline network based on a SCADA system. Background Art

[0002] SCADA (Supervisory Control and Data Acquisition) system, namely data acquisition and monitoring control system, is an organic combination of distributed control system (DCS) based on computer technology and power automation monitoring system. In terms of gas pipeline network monitoring, SCADA system can effectively discover and quickly respond to abnormal conditions in the pipeline network, such as leakage, pressure fluctuation or equipment failure, through real-time data collection and remote monitoring. By efficiently and accurately collecting and analyzing data from key nodes in the pipeline network, it can greatly reduce potential safety hazards, ensure the stable operation of the gas pipeline network, and at the same time improve the operating efficiency of the overall pipeline network, and ensure the safety and continuity of the city's gas supply system.

[0003] In the overall architecture of the SCADA system, data transmission is a very important part. Through sensors installed in the pipeline network, various operating parameters related to the gas pipeline network are continuously collected. These data usually need to be transmitted to the data center located on the ground or other safe areas through wireless communication networks for further analysis and processing, and to make intelligent judgments and decisions. However, in actual situations, since most of the data collection points are distributed inside the gas pipeline network, and the gas pipeline network is usually laid underground, the data transmission process faces the challenge of strong absorption and attenuation of wireless signals by underground media such as soil and rocks. Especially in deeper underground environments, the signal strength may be significantly weakened, and even cause data transmission interruption, thereby affecting the operation quality of the entire system. Therefore, how to ensure the stability and reliability of data transmission has become an urgent problem to be solved. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent monitoring method for a gas pipeline network based on a SCADA system to solve the following technical problems:

[0005] In actual situations, since most data collection points are distributed inside the gas pipeline network, which is usually laid underground, the data transmission process faces the challenge of strong absorption and attenuation of wireless signals by underground media such as soil and rocks. Especially in deeper underground environments, the signal strength may be significantly weakened, and even cause data transmission interruption, thus affecting the operation quality of the entire system.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] An intelligent monitoring method for a gas pipeline network based on a SCADA system comprises the following steps:

[0008] S1: Determine the data collection points in the preset monitoring area, and take the data collection points below the standard plane as the initial point, the standard plane is parallel to the horizontal plane, and the standard plane is below the horizontal plane, and the distance between the standard plane and the horizontal plane is D', D' represents the preset optimal transmission distance;

[0009] S2: Determine the plane where the initial point A is located, and use the plane parallel to the horizontal plane as the reference plane Acon, and determine the distance between the initial point A and the initial point above the reference plane Acon, and when the shortest distance DAmin ≥ D', use the initial point A as the target point;

[0010] The target points are sorted according to the distance between them and the horizontal plane. The larger the distance between the target point and the horizontal plane, the higher the ranking. The reference plane Fcon corresponding to the first target point F in the sorting is determined, and the initial point and the target point above the reference plane Fcon are taken as the candidate points.

[0011] Determine the distance C between the target point F and the point to be selected, and calculate the standard distance Cben=ε*C / H, where ε is a preset correction coefficient and H represents the height difference between the target point F and the point to be selected, and take the point to be selected corresponding to the minimum standard distance as the optimal point;

[0012] S3: Connecting the target point F and the optimal point with a straight line to obtain a reference line segment, taking the midpoint of the reference line segment as a data transfer point, and setting a data transfer station at the data transfer point;

[0013] Remove the first target point in the sorting, and use the data transfer point as the initial point, and re-determine whether the target point in the sorting continues to be the target point, and determine the data transfer point corresponding to the target point in the sorting.

[0014] As a further solution of the present invention: in the step S3, after all data transfer points are determined, the following steps are also included:

[0015] The data collection point Y is used as the starting position, and a reference plane Ycon corresponding to the starting position is determined, and the data collection point and the data transfer point above the reference plane Ycon are used as transmission points;

[0016] Determine the standard distance between the starting position and the transmission point, take the transmission point corresponding to the minimum standard distance as the first transmission point, and transmit the data collected at the starting position to the first transmission point;

[0017] With the first transmission point as the starting position, repeat the above steps to determine a new first transmission point until the data collected by the data collection point Y is transmitted to the data collection point above the standard surface, and the data collection point above the standard surface transmits the received data to the data center.

[0018] As a further solution of the present invention: the data collected at the starting position includes but is not limited to gas flow and pipeline pressure.

[0019] As a further solution of the present invention: in the step S3, when the length L of the reference line segment is greater than 2.2D', the following steps are performed:

[0020] Calculate the number of segments Indicates that L / D' is rounded up;

[0021] Taking the target point F as the starting point and L / K as the distance interval, K data transfer points are set on the reference line segment.

[0022] As a further solution of the present invention: in the step S2, when there are two target points with the same distance from the horizontal plane, the following steps are performed:

[0023] The target point with the same distance from the horizontal plane is taken as the reference point, and the vertical line segment between the reference point and the standard plane is taken as the standard line;

[0024] A cylinder is determined with the standard line as the axis and D' as the radius. The two bottom surfaces of the cylinder are respectively located in the standard surface and the reference surface of the reference point. The number of data collection points in the cylinder is determined, and the reference points are sorted according to the number of data collection points in the cylinder. The more data collection points in the cylinder, the higher the ranking.

[0025] As a further solution of the present invention: in step S2, another method for determining the optimal point specifically includes:

[0026] The points to be selected are taken as reference points, and the number of corresponding data collection points in the cylinder is determined, and the points to be selected corresponding to the maximum number are taken as the optimal points.

[0027] As a further solution of the present invention: in the step S1, when there is no initial point, the subsequent steps are not executed, and the data collected at the data collection point is directly transmitted to the data center.

[0028] As a further solution of the present invention: in the step S1, the optimal transmission distance D' is determined based on the finite element method.

[0029] Beneficial effects of the present invention: In the present invention, the initial point is first determined; it is worth noting that when the data collection point is above the standard surface, it means that the distance between the data collection point and the horizontal plane is short, and the data transmission will not be affected too much, so it does not need to be processed, thereby improving the overall processing efficiency; then it is determined whether the initial point is the target point; it should be noted that the initial point is the data collection point, and the data collected by the data collection point needs to be transmitted to the data center, and the data center is set on the ground, so only the initial point above the reference surface needs to be considered, when the shortest distance between the initial point A and the initial point above the reference surface is less than D', the data collected at the initial point A is transmitted to another initial point corresponding to the shortest distance, and then continued to be transmitted from the initial point to the data center, and there is no need to set up an additional data transfer station, so when the shortest distance DAmin≥D', the initial point A is used as the target point; then the standard distance of the target point is calculated, and the optimal point is determined according to the minimum standard distance; it is worth noting that the greater the height difference, the greater the value of the height difference. The larger the height difference is, the smaller the standard distance is. The ultimate goal of transmission is to make the data collected at the data collection point be transmitted to the data center as soon as possible. Therefore, the larger the height difference is, the better. Similarly, the distance between the target point and the selected point should be reduced as much as possible to ensure the quality of data transmission. Then, the data transfer point is determined according to the target point and the optimal point. After the data collected at the target point is transmitted to the data transfer station on the data transfer point, it is sent to the optimal point by the data transfer station to reduce the transmission path during word transmission, thereby ensuring the quality of data during transmission. Finally, the data transfer point is used as the initial point, and whether the target point in the sorting continues to be the target point is re-determined, and the data transfer point corresponding to the target point in the sorting is determined. It can be understood that after determining a data transfer point, the remaining target points in the sorting can also transfer data to this data transfer point. At this time, the target point is no longer used as a target point. It only needs to consider the target point that is still the target point after adding the data transfer point, thereby improving the efficiency of determining the data transfer points corresponding to all target points. The present invention improves the reliability and stability of the data transmission process by setting the data transfer point. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The present invention will be further described below in conjunction with the accompanying drawings.

[0031] Figure 1 The present invention is a flow chart of an intelligent monitoring method for a gas pipeline network based on a SCADA system. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] See also Figure 1 As shown, the present invention is an intelligent monitoring method for a gas pipeline network based on a SCADA system, comprising the following steps:

[0034] S1: Determine the data collection points in the preset monitoring area, and take the data collection points below the standard plane as the initial point, the standard plane is parallel to the horizontal plane, and the standard plane is below the horizontal plane, and the distance between the standard plane and the horizontal plane is D', D' represents the preset optimal transmission distance;

[0035] S2: Determine the plane where the initial point A is located, and use the plane parallel to the horizontal plane as the reference plane Acon, and determine the distance between the initial point A and the initial point above the reference plane Acon, and when the shortest distance DAmin ≥ D', use the initial point A as the target point;

[0036] The target points are sorted according to the distance between them and the horizontal plane. The larger the distance between the target point and the horizontal plane, the higher the ranking. The reference plane Fcon corresponding to the first target point F in the sorting is determined, and the initial point and the target point above the reference plane Fcon are taken as the candidate points.

[0037] Determine the distance C between the target point F and the point to be selected, and calculate the standard distance Cben=ε*C / H, where ε is a preset correction coefficient and H represents the height difference between the target point F and the point to be selected, and take the point to be selected corresponding to the minimum standard distance as the optimal point;

[0038] S3: Connecting the target point F and the optimal point with a straight line to obtain a reference line segment, taking the midpoint of the reference line segment as a data transfer point, and setting a data transfer station at the data transfer point;

[0039] Remove the first target point in the sorting, and use the data transfer point as the initial point, and re-determine whether the target point in the sorting continues to be the target point, and determine the data transfer point corresponding to the target point in the sorting.

[0040] It should be noted that the initial point is determined first; it is worth noting that when the data collection point is above the standard surface, it means that the distance between the data collection point and the horizontal plane is short, and the data transmission will not be affected too much, so it does not need to be processed, thereby improving the overall processing efficiency; then determine whether the initial point is the target point; it should be noted that the initial point is the data collection point, and the data collected by the data collection point needs to be transmitted to the data center, and the data center is set on the ground, so only the initial point above the reference surface needs to be considered. When the shortest distance between the initial point A and the initial point above the reference surface is less than D', the data collected at the initial point A is transmitted to another initial point corresponding to the shortest distance, and then continued to be transmitted from the initial point to the data center. There is no need to set up an additional data transfer station, so when the shortest distance DAmin≥D', the initial point A is used as the target point; then the standard distance of the target point is calculated, and the optimal point is determined according to the minimum standard distance; it is worth noting that the larger the height difference, the higher the standard The smaller the quasi-distance is, the ultimate goal of transmission is to transmit the data collected at the data collection point to the data center as quickly as possible. Therefore, the larger the height difference is, the better. Similarly, the distance between the target point and the selected point should be reduced as much as possible to ensure the quality of data transmission; then, the data transfer point is determined according to the target point and the optimal point. After the data collected at the target point is transmitted to the data transfer station on the data transfer point, it is sent to the optimal point by the data transfer station, reducing the transmission path during word transmission, thereby ensuring the quality of data during transmission; finally, the data transfer point is used as the initial point, and it is re-determined whether the target point in the sorting continues to be the target point, and the data transfer point corresponding to the target point in the sorting is determined. It can be understood that after determining a data transfer point, the remaining target points in the sorting can also transmit data to this data transfer point. At this time, the target point is no longer used as a target point. It is only necessary to consider the target point that is still a target point after adding the data transfer point, thereby improving the efficiency of determining the data transfer points corresponding to all target points.

[0041] In another preferred embodiment of the present invention, in the step S3, after all data transfer points are determined, the following steps are further included:

[0042] The data collection point Y is used as the starting position, and a reference plane Ycon corresponding to the starting position is determined, and the data collection point and the data transfer point above the reference plane Ycon are used as transmission points;

[0043] Determine the standard distance between the starting position and the transmission point, take the transmission point corresponding to the minimum standard distance as the first transmission point, and transmit the data collected at the starting position to the first transmission point;

[0044] With the first transmission point as the starting position, repeat the above steps to determine a new first transmission point until the data collected by the data collection point Y is transmitted to the data collection point above the standard surface, and the data collection point above the standard surface transmits the received data to the data center.

[0045] It is worth noting that during data transmission, the signal may be affected by various external factors (such as environmental interference, signal attenuation, obstacles, etc.). By selecting the transmission point with the minimum standard distance as the first transmission point in turn, the negative impact of these external factors on the data transmission quality can be reduced as much as possible, ensuring that the data can be transmitted to the next transmission point with a higher signal strength, reducing the attenuation and interference caused by external factors during data transmission, and improving the reliability and efficiency of data transmission.

[0046] In another preferred embodiment of the present invention, the data collected at the starting position includes but is not limited to gas flow and pipeline pressure.

[0047] In another preferred embodiment of the present invention, in step S3, when the length L of the reference line segment is greater than 2.2D', the following steps are performed:

[0048] Calculate the number of segments Indicates that L / D' is rounded up;

[0049] Taking the target point F as the starting point and L / K as the distance interval, K data transfer points are set on the reference line segment.

[0050] It should be noted that in actual situations, there may be a situation where the distance between a certain target point and all the candidate points is relatively long. In this case, setting up only one data transfer point may not be enough to ensure the quality of data transmission, because long-distance transmission may cause signal attenuation, data loss or transmission delay. Therefore, relay transmission through multiple transfer points can reduce the adverse effects of long-distance transmission and ensure that the data maintains a high signal strength and stability in each transmission segment, thereby ultimately achieving high-quality data transmission.

[0051] In another preferred embodiment of the present invention, in step S2, when there are two target points with the same distance from the horizontal plane, the following steps are performed:

[0052] The target point with the same distance from the horizontal plane is taken as the reference point, and the vertical line segment between the reference point and the standard plane is taken as the standard line;

[0053] A cylinder is determined with the standard line as the axis and D' as the radius. The two bottom surfaces of the cylinder are respectively located in the standard surface and the reference surface of the reference point. The number of data collection points in the cylinder is determined, and the reference points are sorted according to the number of data collection points in the cylinder. The more data collection points in the cylinder, the higher the ranking.

[0054] It should be noted that the more data collection points there are in the cylinder, the more data collection points can be used as transfer points when the reference point transmits data to the data center. At the same time, the more data collection points there are in the cylinder, the fewer data transfer stations need to be set up when the reference point transmits data to the data center. Specifically: when there are more data collection points in the cylinder, this means that there are more available data collection points between the reference point and the data center. These data collection points can serve as natural transfer points to help gradually transmit data to the data center. When there are more data collection points, the distance between the data collection points is relatively small, so there is no need to set up additional independent data transfer stations to cover long-distance transmission needs.

[0055] In another preferred embodiment of the present invention, in step S2, another method for determining the optimal point specifically includes:

[0056] The points to be selected are taken as reference points, and the number of corresponding data collection points in the cylinder is determined, and the points to be selected corresponding to the maximum number are taken as the optimal points.

[0057] In another preferred embodiment of the present invention, in step S1, when there is no initial point, subsequent steps are not executed, and the data collected at the data collection point is directly transmitted to the data center.

[0058] It is worth noting that when there is no initial point, it means that the locations of all data collection points are above the standard plane or horizontal plane, and the distance between them and the data center is within an acceptable range. In this case, the signal strength and transmission quality between the data collection points and the data center are high enough, and the data can be transmitted directly to the data center without the assistance of a transfer station, which not only simplifies the transmission path, but also avoids additional delays.

[0059] In another preferred embodiment of the present invention, in the step S1, the optimal transmission distance D' is determined based on a finite element method.

[0060] It is worth noting that the finite element method (FEM) is a numerical analysis technique widely used in engineering, physics, mathematics and other fields to solve complex physical problems. The core idea of ​​the finite element method is to decompose a complex, continuous physical problem into many simple, small-scale discrete units (called finite elements), and then approximate the solution of the entire problem by solving the behavior of these finite elements; in this solution, by using the finite element method, the complex factors that may be involved in the data transmission process, such as signal attenuation, environmental interference, and the impact of obstacles on the signal, can be more accurately simulated. This sophisticated simulation can help determine the optimal transmission distance D' that is most suitable for the actual environment.

[0061] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An intelligent monitoring method for a gas pipeline network based on a SCADA system, characterized in that: The following steps are involved: S1: Determine the data collection points in the preset monitoring area, and take the data collection points below the standard plane as the initial point, the standard plane is parallel to the horizontal plane, and the standard plane is below the horizontal plane, and the distance between the standard plane and the horizontal plane is D', D' represents the preset optimal transmission distance; S2: Determine the plane where the initial point A is located, and use the plane parallel to the horizontal plane as the reference plane Acon, and determine the distance between the initial point A and the initial point above the reference plane Acon, and when the shortest distance DAmin ≥ D', use the initial point A as the target point; The target points are sorted according to the distance between them and the horizontal plane. The larger the distance between the target point and the horizontal plane, the higher the ranking. The reference plane Fcon corresponding to the first target point F in the sorting is determined, and the initial point and the target point above the reference plane Fcon are taken as the candidate points. Determine the distance C between the target point F and the point to be selected, and calculate the standard distance Cben=ε*C / H, where ε is a preset correction coefficient and H represents the height difference between the target point F and the point to be selected, and take the point to be selected corresponding to the minimum standard distance as the optimal point; S3: Connecting the target point F and the optimal point with a straight line to obtain a reference line segment, taking the midpoint of the reference line segment as a data transfer point, and setting a data transfer station at the data transfer point; Remove the first target point in the sorting, and use the data transfer point as the initial point, and re-determine whether the target point in the sorting continues to be the target point, and determine the data transfer point corresponding to the target point in the sorting.

2. The intelligent monitoring method for a gas pipeline network based on a SCADA system according to claim 1 is characterized in that: In the step S3, after all data transfer points are determined, the following steps are also included: The data collection point Y is used as the starting position, and a reference plane Ycon corresponding to the starting position is determined, and the data collection point and the data transfer point above the reference plane Ycon are used as transmission points; Determine the standard distance between the starting position and the transmission point, take the transmission point corresponding to the minimum standard distance as the first transmission point, and transmit the data collected at the starting position to the first transmission point; With the first transmission point as the starting position, repeat the above steps to determine a new first transmission point until the data collected by the data collection point Y is transmitted to the data collection point above the standard surface, and the data collection point above the standard surface transmits the received data to the data center.

3. The intelligent monitoring method for a gas pipeline network based on a SCADA system according to claim 2 is characterized in that: The data collected at the starting position include but are not limited to gas flow and pipeline pressure.

4. The intelligent monitoring method for a gas pipeline network based on a SCADA system according to claim 1 is characterized in that: In the step S3, when the length L of the reference line segment is greater than 2.2D', the following steps are performed: Calculate the number of segments Indicates that L / D' is rounded up; Taking the target point F as the starting point and L / K as the distance interval, K data transfer points are set on the reference line segment.

5. The intelligent monitoring method for a gas pipeline network based on a SCADA system according to claim 1 is characterized in that: In step S2, when there are two target points with the same distance from the horizontal plane, the following steps are performed: The target point with the same distance from the horizontal plane is taken as the reference point, and the vertical line segment between the reference point and the standard plane is taken as the standard line; A cylinder is determined with the standard line as the axis and D' as the radius. The two bottom surfaces of the cylinder are respectively located in the standard surface and the reference surface of the reference point. The number of data collection points in the cylinder is determined, and the reference points are sorted according to the number of data collection points in the cylinder. The more data collection points in the cylinder, the higher the ranking.

6. The intelligent monitoring method for a gas pipeline network based on a SCADA system according to claim 5 is characterized in that: In step S2, another method for determining the optimal point specifically includes: The points to be selected are taken as reference points, and the number of corresponding data collection points in the cylinder is determined, and the points to be selected corresponding to the maximum number are taken as the optimal points.

7. The intelligent monitoring method for a gas pipeline network based on a SCADA system according to claim 1 is characterized in that: In the step S1, when there is no initial point, the subsequent steps are not executed, and the data collected at the data collection point is directly transmitted to the data center.

8. The intelligent monitoring method for a gas pipeline network based on a SCADA system according to claim 1, characterized in that: In the step S1, the optimal transmission distance D' is determined based on the finite element method.

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