Multifunctional smart pile applied to long-distance pipeline natural gas leakage monitoring

Abstract

The invention relates to the technical field of natural gas pipeline monitoring, in particular to a multifunctional smart pile applied to long-distance pipeline natural gas leakage monitoring, and the smart pile comprises a concentration sensor, a vibration sensor, an image sensor, a processor and an alarm. By means of multi-dimensional real-time data collection and analysis, pipeline abnormity can be accurately recognized, the leakage risk can be accurately judged, and the possibility of false alarm and missing alarm is reduced. By adjusting the concentration threshold value and judging the risk level, the sensitivity and accuracy of the system are improved, it is ensured that natural gas leakage can still be effectively monitored and responded to in different environments, the pipeline safety is enhanced through the intelligent and multi-layer monitoring mode, accidents are avoided, and the safety of the system is improved. The problems that leakage detection is inaccurate and response time is long due to the fact that optical fiber signals are prone to being affected by physical environments and response of the air extracting pump is delayed are effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of natural gas pipeline monitoring, and in particular to a multifunctional intelligent pile applied to natural gas leakage monitoring of long-distance pipelines. Background Art

[0002] With the continuous growth of global energy demand, natural gas, as one of the clean energy sources, has been widely used worldwide. To ensure the safe and stable operation of the natural gas transportation system and prevent safety accidents and environmental pollution caused by pipeline leakage, natural gas pipeline leakage monitoring has become an important issue in the energy transportation field. Although traditional monitoring methods can achieve a certain degree of leakage detection, they still have problems such as response lag and low accuracy when facing complex environments and rapid response requirements, and more advanced technologies are urgently needed to improve the efficiency and accuracy of leakage detection.

[0003] The patent document with the publication number CN114607944A discloses a natural gas pipeline leakage monitoring device and method. The device includes: a sensing pipeline, which is laid parallel to the underground natural gas pipeline above the natural gas pipeline. The sensing pipeline is made of a material that can permeate gas but not liquid. The gas leaked from the natural gas pipeline can enter the sensing pipeline. It is characterized in that there are multiple gas detection units in the sensing pipeline. The gas detection units are nested and sealed with the sensing pipeline. The gas detection units are used to detect the signals of the leaked gas collected in the sensing pipeline. The end of the sensing pipeline extends out of the ground and is connected to an air extraction pump. The air extraction pump is used to transport the gas in the sensing pipeline to the gas detection units. A standard optical fiber extends from the ground into the soil to connect each gas detection unit and then extends out of the ground to connect to a signal analysis unit. The standard optical fiber transmits a laser beam to the gas detection unit. The signal analysis unit analyzes the laser signal intensity of the gas detection unit to determine whether there is methane leakage.

[0004] It can be seen that the natural gas pipeline leakage monitoring device has the following problems: The device relies on the signal intensity of the laser beam and the optical fiber to detect gas leakage. However, the optical fiber technology is relatively sensitive to the physical environment. When the optical fiber is affected by factors such as damage, bending, pollution, or environmental temperature change, it will cause signal transmission interruption, thus affecting the accurate detection of gas leakage; Due to the presence of the air extraction pump and optical fiber signal transmission, the response time of the system is relatively long. Especially when there is a large leakage in the pipeline, it takes a long time to detect the leakage situation, which may lead to the failure to detect the leakage risk in time in case of emergency. Summary of the Invention

[0005] To this end, the present invention provides a multi-functional intelligent pile for natural gas leakage monitoring in long-distance pipelines, which is used to overcome the problems of inaccurate leakage detection and long response time in the prior art due to the susceptibility of optical fiber signals to physical environment and the response delay of air extraction pumps by integrating multi-sensor fusion detection technology.

[0006] To achieve the above object, the present invention provides a multi-functional intelligent pile for natural gas leakage monitoring in long-distance pipelines, including:

[0007] A concentration sensor for collecting the real-time gas concentration at the monitoring position above the long-distance pipeline;

[0008] A vibration sensor for collecting the real-time vibration intensity at the monitoring position;

[0009] An image sensor for collecting the real-time image at the monitoring position;

[0010] A processor, which is respectively connected to the concentration sensor, the vibration sensor and the image sensor, including an extraction module for extracting the real-time crack area, real-time crack position and real-time uplift height in the real-time image, an anomaly determination module for determining the existence of pipeline anomalies based on the real-time gas concentration and a preset concentration threshold to form a first determination result, a type determination module for determining the type of pipeline anomalies based on the first determination result, the real-time vibration intensity and the real-time crack area, a risk determination module for determining the existence of leakage risk based on the anomaly type and the real-time uplift height to form a second determination result, a level determination module for determining the severity level of the leakage risk based on the second determination result, the real-time gas concentration and the real-time crack position to form a risk level, and an adjustment module for adjusting the preset concentration threshold based on the number of second determination results formed within a preset adjustment duration to form an adjusted concentration threshold;

[0011] An alarm, which is connected to the processor and is used to issue a leakage alarm when the risk level is formed based on the adjusted concentration threshold.

[0012] Further, the anomaly determination module includes:

[0013] A concentration comparison unit for comparing the real-time gas concentration and the preset concentration threshold to form a concentration comparison result;

[0014] A first determination unit, which is connected to the concentration comparison unit and is used to determine the existence of pipeline anomalies and form a first determination result when the concentration comparison result is that the real-time gas concentration is greater than the preset concentration threshold.

[0015] Further, the type determination module includes:

[0016] A vibration fluctuation calculation unit, which is used to calculate the standard deviation of all the real-time vibration intensities within a preset first determination duration when forming the first determination result, and form a vibration fluctuation value;

[0017] An area fluctuation calculation unit, which is used to calculate the standard deviation of all the real-time crack areas within the preset first determination duration when forming the first determination result, and form an area fluctuation value;

[0018] A first determination unit, which is respectively connected to the vibration fluctuation calculation unit and the area fluctuation calculation unit, and is used to determine the abnormal type of the pipeline anomaly according to the vibration fluctuation value and the area fluctuation value.

[0019] Further, the first determination unit includes:

[0020] A vibration curve drawing sub-unit, which is used to draw a change curve of the vibration fluctuation value within the preset first determination duration, and form a vibration change curve;

[0021] An area curve drawing sub-unit, which is used to draw a change curve of the area fluctuation value within the preset first determination duration, and form an area change curve;

[0022] A consistency calculation sub-unit, which is respectively connected to the vibration curve drawing sub-unit and the area curve drawing sub-unit, and is used to calculate the cosine similarity of the vibration change curve and the area change curve, and form a change consistency;

[0023] A first determination sub-unit, which is connected to the consistency calculation sub-unit, and is used to determine that the pipeline anomaly is a leakage anomaly when the change consistency is less than a preset consistency threshold, and form an abnormal type.

[0024] Further, the risk determination module includes:

[0025] A recording unit, which is used to record the timestamps of all the real-time uplift heights greater than a preset uplift height threshold within a preset second determination duration after forming the abnormal type, and form a plurality of timestamps;

[0026] A second determination unit, which is connected to the recording unit, and is used to form a second determination result according to the existence of a leakage risk based on the timestamps.

[0027] Further, the second determination unit includes:

[0028] A time interval calculation sub-unit, which is used to calculate the time intervals between any two adjacent timestamps, and form a plurality of time intervals;

[0029] A time distribution calculation subunit, which is connected to the time interval calculation subunit and is used to calculate the standard deviation of all the time intervals within the preset second determination duration to form a time distribution degree;

[0030] A second determination subunit, which is connected to the time distribution calculation subunit and is used to determine the existence of a leakage risk when the time distribution degree is greater than a preset time distribution degree threshold to form a second determination result.

[0031] Further, the level determination module includes:

[0032] A position distance calculation unit, which is used to calculate the Euclidean distance between each real-time crack position and a preset center position when the second determination result is formed to form a number of position distances;

[0033] A position distribution calculation unit, which is connected to the position distance calculation unit and is used to calculate the standard deviation of all the position distances to form a position distribution degree;

[0034] A second determination unit, which is connected to the position distribution calculation unit and is used to determine the severity level of the leakage risk according to the position distribution degree and the real-time gas concentration to form the risk level.

[0035] Further, the second determination unit includes:

[0036] A concentration fluctuation calculation subunit, which is used to calculate the standard deviation of all the real-time gas concentrations within a preset determination duration to form a concentration fluctuation value;

[0037] A position distribution fluctuation calculation subunit, which is used to calculate the standard deviation of all the position distribution degrees within the preset determination duration to form a position distribution fluctuation value;

[0038] A synchronization degree calculation subunit, which is respectively connected to the concentration fluctuation calculation subunit and the position distribution fluctuation calculation subunit and is used to calculate the relative deviation between the concentration fluctuation value and the position distribution fluctuation value to form a synchronization degree;

[0039] A second determination subunit, which is connected to the synchronization degree calculation subunit and is used to determine the severity level of the leakage risk when the synchronization degree is less than a preset synchronization degree threshold to form the risk level.

[0040] Further, the adjustment module includes:

[0041] A quantity fluctuation calculation unit, which is used to calculate the standard deviation of the quantity of the second determination result to form a quantity fluctuation value;

[0042] An adjustment unit, which is connected to the quantity fluctuation calculation unit and is used to adjust the preset concentration threshold according to the quantity fluctuation value to form an adjusted concentration threshold.

[0043] Further, the adjustment unit includes:

[0044] A quantity fluctuation comparison subunit, configured to compare the quantity fluctuation value with a preset quantity fluctuation threshold to form a quantity fluctuation comparison result;

[0045] An adjustment subunit, connected to the quantity fluctuation comparison subunit, configured to reduce the preset concentration threshold according to the relative deviation between the quantity fluctuation value and the preset quantity fluctuation threshold and a preset adjustment coefficient when the quantity fluctuation value is greater than the preset quantity fluctuation threshold, to form an adjusted concentration threshold.

[0046] Compared with the prior art, the beneficial effects of the present invention are as follows. Through multi-dimensional real-time data collection and analysis, pipeline anomalies can be accurately identified and leakage risks can be judged, reducing the possibility of false alarms and missed alarms. By adjusting the concentration threshold and risk level determination, the sensitivity and accuracy of the system are improved, ensuring that natural gas leakage can still be effectively monitored and responded to in different environments. Its intelligent and multi-level monitoring method not only enhances pipeline safety but also enables early warning to avoid accidents, ensuring the safety and reliability of pipeline transportation, and effectively solving the problems of inaccurate leakage detection and long response time caused by the susceptibility of optical fiber signals to physical environments and the response delay of air extraction pumps.

[0047] Further, by comparing the real-time gas concentration with a preset threshold, possible leakage or other anomalies in the pipeline can be quickly and accurately identified, early warning can be given, and the risk of accidents can be reduced. Due to its high sensitivity and accuracy, it can effectively improve the response speed of the pipeline monitoring system, ensure pipeline safety, and take emergency measures in a timely manner, thereby ensuring the stability and safety of energy supply and reducing potential losses.

[0048] Further, by accurately calculating the fluctuations of the vibration intensity and crack area, the type determination of pipeline anomalies is further refined, avoiding misjudgment caused by a single index. Through the comprehensive analysis of vibration and crack area, the root cause of pipeline problems can be more accurately identified, the diagnostic ability of the monitoring system can be improved, and measures can be taken in a timely manner to address potential risks, effectively reducing the impact of pipeline failures on operation safety.

[0049] Further, by analyzing the change consistency of vibration and crack area, different types of pipeline anomalies, especially leakage anomalies, can be more effectively distinguished, avoiding false alarms and missed alarms, improving the accuracy and real-time performance of pipeline safety monitoring, and enhancing the early warning ability of pipeline leakage.

[0050] Furthermore, by accurately recording and analyzing the changes in the uplift height, the leakage risk can be judged in a timely manner, providing a more accurate basis for pipeline leakage monitoring, effectively avoiding misjudgment caused by single anomalies, and improving the sensitivity and reliability of leakage detection.

[0051] Furthermore, by analyzing the regularity and time distribution of the changes in the uplift height, it can be ensured that a leakage risk is only determined when the abnormal uplift has significant time distribution characteristics, thereby improving the accuracy of leakage detection and reducing false alarms.

[0052] Furthermore, by combining the crack location distribution and gas concentration, a more comprehensive and accurate judgment criterion for leakage risk assessment is provided, which can effectively identify the severity of risks at different locations, early warning of potential leakage crises, and ensuring the safe operation of pipelines.

[0053] Furthermore, by comprehensively considering the volatility of gas concentration changes and crack location distribution, the dynamic characteristics of leakage risk can be accurately reflected, avoiding misjudgment caused by local fluctuations, thereby providing a more reliable basis for the severity assessment of pipeline leakage, and enhancing the early warning ability and response speed of the monitoring system.

[0054] Furthermore, by flexibly adjusting the concentration threshold by real-time monitoring of the fluctuations in the number of judgment results, the situations of false alarms and missed alarms can be effectively reduced, the accuracy and response speed of the system can be improved, and according to the different changes in the pipeline operation status and environmental conditions, it can be ensured that the detection system is always in the best working state, enhancing the adaptability and reliability of the monitoring system.

[0055] Furthermore, by real-time monitoring of the quantity fluctuations and comparing with the preset threshold, the adjustment unit can automatically reduce the concentration threshold when the fluctuations are large, improving the sensitivity of the system to subtle leaks, thereby effectively reducing the possibility of missed alarms, enhancing the accuracy of leakage monitoring, increasing the adaptability of the monitoring system, and enabling it to always maintain a high detection accuracy under different environmental changes. Description of the Drawings

[0056] Figure 1 It is a schematic structural diagram of a multi-functional intelligent pile for natural gas leakage monitoring of a long-distance pipeline in this embodiment;

[0057] Figure 2 It is a schematic diagram of a multi-functional intelligent pile for natural gas leakage monitoring of a long-distance pipeline in this embodiment;

[0058] Figure 3 It is a judgment logic diagram for the first judgment unit in this embodiment to judge the existence of pipeline anomalies;

[0059] Figure 4 It is a judgment logic diagram for the first determination subunit in this embodiment to determine the formation of abnormal types. Detailed implementation manners

[0060] In order to make the objectives and advantages of the present invention clearer and more understandable, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0061] The preferred implementation manners of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these implementation manners are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0062] Please refer to Figure 1 as shown, which is a schematic structural diagram of a multi-functional intelligent pile applied to natural gas leakage monitoring of long-distance pipelines in this embodiment;

[0063] Please continue to refer to Figure 2 as shown, which is a schematic diagram of a multi-functional intelligent pile applied to natural gas leakage monitoring of long-distance pipelines in this embodiment;

[0064] This embodiment provides a multi-functional intelligent pile applied to natural gas leakage monitoring of long-distance pipelines, including:

[0065] A concentration sensor for collecting the real-time gas concentration at the monitoring position above the long-distance pipeline;

[0066] A vibration sensor for collecting the real-time vibration intensity at the monitoring position;

[0067] An image sensor for collecting the real-time image at the monitoring position;

[0068] A processor, which is respectively connected to the concentration sensor, the vibration sensor, and the image sensor, and includes an extraction module for extracting the real-time crack area, real-time crack position, and real-time uplift height in the real-time image, an abnormal determination module for determining the existence of pipeline abnormalities based on the real-time gas concentration and a preset concentration threshold to form a first determination result, a type determination module for determining the type of the pipeline abnormality based on the first determination result, the real-time vibration intensity, and the real-time crack area, a risk determination module for determining the existence of leakage risk based on the type of abnormality and the real-time uplift height to form a second determination result, a level determination module for determining the severity level of the leakage risk based on the second determination result, the real-time gas concentration, and the real-time crack position to form a risk level, and an adjustment module for adjusting the preset concentration threshold based on the number of the second determination results formed within a preset adjustment duration to form an adjusted concentration threshold;

[0069] An alarm, which is connected to the processor and is used to issue a leakage alarm when the risk level is formed based on the adjusted concentration threshold.

[0070] Real-time data acquisition of the monitoring positions of long-distance pipelines is achieved through multiple sensors. Specifically, the gas concentration is monitored by a concentration sensor 3 (such as an infrared gas sensor), the real-time vibration intensity is collected by a vibration sensor 1 (such as a piezoelectric sensor), and the real-time image is used to obtain the image data of the ground above the monitoring position by an image sensor 2 (a high-resolution camera). The data of these sensors will be transmitted to the system in real time for subsequent anomaly determination and risk assessment.

[0071] The extraction module analyzes the real-time images obtained by the data acquisition module through image processing algorithms, and extracts the crack area, crack position, and uplift height. First, the ground area in the image is separated from the background using image segmentation technology, and then the boundary of the crack is identified through an edge detection algorithm, the area of the crack is calculated, and the position of the crack is calibrated. For the extraction of the uplift height, a deep learning model is used to estimate the height of the ground uplift from different perspectives in the image or through stereo vision technology. The extracted data will be fed back to the system in real time for subsequent determination and analysis.

[0072] The preset concentration threshold is the concentration standard for the system to determine whether a natural gas leak has occurred, which depends on the gas safety standard and the pipeline design specification, and is set to a concentration value that allows the system to identify leaks in advance without false alarms, usually set between 50% LEL - 100% LEL (lower explosion limit concentration), and is set to 80% LEL in this embodiment to ensure accurate risk determination in the initial stage of leakage.

[0073] The preset adjustment duration is the time range for the system to analyze data fluctuations and decide whether to adjust the concentration threshold, which depends on the detection frequency and response time of the leak, usually set between 20 minutes and 5 hours, and is set to 30 minutes in this embodiment to ensure accurate identification of abnormal fluctuations and reasonable adjustment of the threshold in a dynamic environment.

[0074] The data acquisition module obtains the gas concentration, vibration intensity, and ground image of the monitoring position in real time. The extraction module extracts the crack area, position, and uplift height data from the image. The anomaly determination module determines whether a pipeline anomaly has occurred based on the gas concentration and the preset concentration threshold, and forms a determination result. The type determination module analyzes the anomaly type by combining the vibration intensity and the crack area. The risk determination module judges the leakage risk according to the anomaly type and the uplift height, and generates a second determination result. The level determination module evaluates the severity of the risk by combining the gas concentration and the crack position. The adjustment module adjusts the concentration threshold according to the preset duration to more accurately identify the leakage risk. Finally, the alarm module issues an alarm according to the adjusted concentration threshold to ensure timely response to pipeline leaks.

[0075] This intelligent stake is arranged along the natural gas pipeline according to mileage points to ensure that each stake can accurately correspond to a specific position of the pipeline. By evenly setting intelligent stakes along the pipeline and combining with the function of mileage stakes, each stake can not only monitor the pipeline status in real time but also calibrate the specific leakage location and pipeline condition. When a leakage event occurs, the system can quickly locate the leakage point through the mileage information provided by the intelligent stake to ensure timely and effective emergency treatment. By combining the intelligent stake with the mileage information of the pipeline, the leakage point and pipeline status can be accurately located, which not only improves the monitoring accuracy but also greatly shortens the leakage detection and emergency response time.

[0076] Through multi-dimensional real-time data collection and analysis, pipeline anomalies can be accurately identified and leakage risks can be judged, reducing the possibility of false alarms and missed alarms. By adjusting the concentration threshold and risk level determination, the sensitivity and accuracy of the system are improved to ensure effective monitoring and response to natural gas leakage in different environments. Its intelligent and multi-level monitoring method not only enhances pipeline safety but also enables early warning to avoid accidents, ensuring the safety and reliability of pipeline transportation, and effectively solving the problems of inaccurate leakage detection and long response time caused by the susceptibility of optical fiber signals to physical environment and the response delay of the air extraction pump.

[0077] Please continue to refer to Figure 3 as shown, which is the determination logic diagram for the first determination unit of this embodiment to determine the existence of pipeline anomalies;

[0078] The anomaly determination module includes:

[0079] A concentration comparison unit for comparing the real-time gas concentration with the preset concentration threshold to form a concentration comparison result;

[0080] A first determination unit, which is connected to the concentration comparison unit, for determining the existence of pipeline anomalies when the concentration comparison result is that the real-time gas concentration is greater than the preset concentration threshold, and forming a first determination result.

[0081] The concentration comparison unit compares the real-time collected gas concentration with the preset concentration range to form a concentration comparison result. If the real-time gas concentration exceeds the preset concentration threshold, the first determination unit determines that there is an anomaly in the pipeline based on this result and generates a first determination result. This determination can be used as the basis for subsequent anomaly analysis to further judge the leakage risk.

[0082] By comparing the real-time gas concentration with the preset threshold, possible leakage or other anomalies in the pipeline can be quickly and accurately identified, early warning can be given, and the risk of accidents can be reduced. Due to its high sensitivity and accuracy, it can effectively improve the response speed of the pipeline monitoring system, ensure the safety of the pipeline, take emergency measures in a timely manner, thus ensuring the stability and safety of energy supply and reducing potential losses.

[0083] Specifically, the type determination module includes:

[0084] A vibration fluctuation calculation unit, which is used to calculate the standard deviation of all the real-time vibration intensities within a preset first determination duration when forming the first determination result, and form a vibration fluctuation value;

[0085] An area fluctuation calculation unit, which is used to calculate the standard deviation of all the real-time crack areas within the preset first determination duration when forming the first determination result, and form an area fluctuation value;

[0086] A first determination unit, which is respectively connected to the vibration fluctuation calculation unit and the area fluctuation calculation unit, and is used to determine the abnormal type of the pipeline abnormality according to the vibration fluctuation value and the area fluctuation value.

[0087] The preset first determination duration is a time window for judging whether there is a pipeline abnormality, which depends on the response speed of the monitoring system, the stability of the pipeline operation state, and the change law of the abnormal signal. It is usually set between 10 seconds and 30 seconds. In this embodiment, it is set to 15 seconds, which can balance sensitivity and accuracy, ensure that the abnormal changes of the pipeline can be captured in time, and at the same time avoid misjudging the minor fluctuations within a short time as abnormalities, improving the stability and reliability of the system.

[0088] After receiving the first determination result, the type determination module starts the vibration fluctuation calculation unit to calculate the standard deviation of all the real-time vibration intensities within the preset first determination duration to obtain a vibration fluctuation value; at the same time, the area fluctuation calculation unit calculates the standard deviation of all the real-time crack areas within this duration to obtain an area fluctuation value. Then, the first determination unit conducts a comprehensive analysis according to the vibration fluctuation value and the area fluctuation value to determine the type of pipeline abnormality, such as whether there is leakage, corrosion or other abnormal conditions.

[0089] By accurately calculating the fluctuation conditions of the vibration intensity and the crack area, the determination of the pipeline abnormality type is further refined, avoiding misjudgment caused by a single index. Through the comprehensive analysis of vibration and crack area, the root cause of the pipeline problem can be more accurately identified, the diagnostic ability of the monitoring system can be improved, ensuring that measures are taken in time to cope with potential risks, and effectively reducing the impact of pipeline failures on operation safety.

[0090] Please continue to refer to Figure 4 as shown, which is the determination logic diagram of the first determination subunit in this embodiment for determining the abnormal type;

[0091] The first determination unit includes:

[0092] A vibration curve drawing subunit, which is used to draw the change curve of the vibration fluctuation value within the preset first determination duration to form a vibration change curve;

[0093] An area curve drawing subunit, configured to draw a change curve of the area fluctuation value within the preset first determination duration to form an area change curve;

[0094] A consistency calculation subunit, which is respectively connected to the vibration curve drawing subunit and the area curve drawing subunit, and is configured to calculate the cosine similarity between the vibration change curve and the area change curve to form a change consistency;

[0095] A first determination subunit, which is connected to the consistency calculation subunit, and is configured to determine that the pipeline abnormality is a leakage abnormality when the change consistency is less than a preset consistency threshold to form an abnormality type.

[0096] The preset consistency threshold is a standard for determining the similarity between the vibration change curve and the crack area change curve, and depends on the noise level of the actual environment, the pipeline material, and the monitoring accuracy requirements. It is usually set between 0.8 and 0.95. In this embodiment, it is set to 0.85, which can reduce false positives caused by environmental interference while ensuring recognition accuracy, and improve the recognition accuracy and real-time response ability of leakage abnormalities.

[0097] The first determination unit calculates the cosine similarity between the vibration fluctuation value and the crack area fluctuation value by drawing their change curves. If the cosine similarity is lower than the preset consistency threshold, it is determined that the pipeline abnormality is a leakage abnormality. This process combines the change trends of vibration and crack area to accurately identify the abnormality type and ensure more reliable detection results.

[0098] By analyzing the change consistency of vibration and crack area, different types of pipeline abnormalities, especially leakage abnormalities, can be more effectively distinguished, avoiding false alarms and missed alarms, improving the accuracy and real-time performance of pipeline safety monitoring, and enhancing the early warning ability of pipeline leakage.

[0099] Specifically, the risk determination module includes:

[0100] A recording unit, configured to record the timestamps of all the real-time uplift heights greater than the preset uplift height threshold within a preset second determination duration after the abnormality type is formed to form a plurality of timestamps;

[0101] A second determination unit, which is connected to the recording unit, and is configured to determine the existence of a leakage risk based on the timestamps to form a second determination result.

[0102] The preset second determination duration refers to the time length used to record and analyze the real-time uplift height change data when judging the leakage risk. It depends on the characteristics of pipeline operation, the response time of equipment, and the reaction speed of the monitoring system. It is usually set between 3 minutes and 15 minutes. In this embodiment, it is set to 5 minutes, which can balance the timeliness and accuracy of monitoring data, help to quickly respond to potential leakage events, and avoid false alarms too frequently.

[0103] The risk determination module forms a series of timestamp data by recording the timestamps of all real-time uplift heights greater than the preset uplift height threshold within the preset second determination duration. Then, the second determination unit determines whether there is a leakage risk based on these timestamps, and then obtains the second determination result.

[0104] By accurately recording and analyzing the change of uplift height, the leakage risk can be judged in time, providing a more accurate basis for pipeline leakage monitoring, effectively avoiding misjudgment caused by single anomaly, and improving the sensitivity and reliability of leakage detection.

[0105] Specifically, the second determination unit includes:

[0106] The time interval calculation sub-unit is used to calculate the time interval between any two adjacent timestamps to form several time intervals;

[0107] The time distribution calculation sub-unit is connected to the time interval calculation sub-unit and is used to calculate the standard deviation of all the time intervals within the preset second determination duration to form the time distribution degree;

[0108] The second determination sub-unit is connected to the time distribution calculation sub-unit and is used to determine that there is a leakage risk when the time distribution degree is greater than the preset time distribution degree threshold, and form the second determination result.

[0109] The preset time distribution degree threshold is a standard used to judge the fluctuation degree of time intervals. It depends on the structural characteristics of the pipeline and environmental impacts. It is usually set between 1 and 10. In this embodiment, it is set to 3, which can balance the sensitivity and accuracy and avoid misjudging the leakage risk due to slight fluctuations.

[0110] The second determination unit calculates the time intervals between adjacent timestamps to obtain time interval data, and then calculates the standard deviation of these time intervals to form the time distribution degree. If the time distribution degree is greater than the preset threshold, it is determined that there is a leakage risk and the second determination result is generated.

[0111] By analyzing the regularity and time distribution of the uplift height change, it can be ensured that the leakage risk is determined only when the abnormal uplift has significant time distribution characteristics, thus improving the accuracy of leakage detection and reducing false alarms.

[0112] Specifically, the level determination module includes:

[0113] A position distance calculation unit, configured to calculate the Euclidean distance between each of the real-time crack positions and a preset center position when forming the second determination result, so as to form a number of position distances;

[0114] A position distribution calculation unit, connected to the position distance calculation unit, configured to calculate the standard deviation of all the position distances to form a position distribution degree;

[0115] A second determination unit, connected to the position distribution calculation unit, configured to determine the severity level of the leakage risk according to the position distribution degree and the real-time gas concentration, so as to form the risk level.

[0116] The level determination module calculates the Euclidean distance between the crack position and the preset center position through the position distance calculation unit to obtain each position distance; then, the position distribution calculation unit calculates the standard deviation of these position distances to obtain the position distribution degree. Next, the second determination unit evaluates the severity level of the leakage risk according to the position distribution degree and the real-time gas concentration, and forms the final risk level.

[0117] By combining the crack position distribution and the gas concentration, it provides a more comprehensive and accurate judgment criterion for leakage risk assessment, can effectively identify the risk severity at different positions, give early warnings of potential leakage crises, and ensure the safe operation of pipelines.

[0118] Specifically, the second determination unit includes:

[0119] A concentration fluctuation calculation sub-unit, configured to calculate the standard deviation of all the real-time gas concentrations within a preset determination duration to form a concentration fluctuation value;

[0120] A position distribution fluctuation calculation sub-unit, configured to calculate the standard deviation of all the position distribution degrees within the preset determination duration to form a position distribution fluctuation value;

[0121] A synchronization degree calculation sub-unit, respectively connected to the concentration fluctuation calculation sub-unit and the position distribution fluctuation calculation sub-unit, configured to calculate the relative deviation between the concentration fluctuation value and the position distribution fluctuation value to form a synchronization degree;

[0122] A second determination sub-unit, connected to the synchronization degree calculation sub-unit, configured to determine the severity level of the leakage risk when the synchronization degree is less than a preset synchronization degree threshold, so as to form the risk level.

[0123] The preset determination duration is the time interval used to calculate the standard deviations of the concentration fluctuation value and the position distribution fluctuation value. It depends on the monitoring period of pipeline operation and the frequency of environmental changes, and is usually set between several hours and one day. In this embodiment, it is set to 24 hours, which can comprehensively consider the stability fluctuations over a long time, reduce the influence of short-term sudden interference factors, and provide a more stable risk assessment.

[0124] The preset synchronization threshold is the standard used to determine whether the concentration fluctuation and the position distribution fluctuation are synchronized. It depends on the significant features of leakage and the sensitivity requirements of the system, and is usually set between 0.1 and 0.3. In this embodiment, it is set to 0.2, which can effectively distinguish normal fluctuations from potential leakage risks, reduce false alarms, and ensure a reliable risk assessment.

[0125] The second determination unit first calculates the standard deviations of the real-time gas concentration and the position distribution degree respectively through the concentration fluctuation calculation subunit and the position distribution fluctuation calculation subunit to obtain the concentration fluctuation value and the position distribution fluctuation value. Then, the synchronization calculation subunit calculates the relative deviation between the concentration fluctuation value and the position distribution fluctuation value to obtain the synchronization degree. Finally, the second determination subunit determines the severity level of the leakage risk according to the comparison result between the synchronization degree and the preset synchronization threshold, and forms the final risk level.

[0126] By comprehensively considering the volatility of gas concentration changes and the crack position distribution, it can accurately reflect the dynamic characteristics of leakage risks, avoid misjudgments caused by local fluctuations, thereby providing a more reliable basis for the severity assessment of pipeline leaks, and enhancing the early warning ability and response speed of the monitoring system.

[0127] Specifically, the adjustment module includes:

[0128] The quantity fluctuation calculation unit is used to calculate the standard deviation of the quantity of the second determination result to form a quantity fluctuation value;

[0129] The adjustment unit is connected to the quantity fluctuation calculation unit and is used to adjust the preset concentration threshold according to the quantity fluctuation value to form an adjusted concentration threshold.

[0130] The standard deviation of the quantity of the second determination result is calculated by the quantity fluctuation calculation unit to obtain a quantity fluctuation value. Then, the adjustment unit adjusts the preset concentration threshold according to this quantity fluctuation value, thereby forming a new adjusted concentration threshold. This process enables the system to dynamically adapt to environmental changes and pipeline conditions, and optimize the sensitivity of leakage monitoring in real time.

[0131] By flexibly adjusting the concentration threshold by monitoring the fluctuation of the determination result quantity in real time, the situations of false alarms and missed alarms can be effectively reduced, the accuracy and response speed of the system can be improved, and according to different changes in the pipeline operation state and environmental conditions, it can ensure that the detection system is always in the best working state, enhancing the adaptability and reliability of the monitoring system.

[0132] Specifically, the adjustment unit includes:

[0133] A quantity fluctuation comparison subunit, which is used to compare the quantity fluctuation value with a preset quantity fluctuation threshold to form a quantity fluctuation comparison result;

[0134] An adjustment subunit, which is connected to the quantity fluctuation comparison subunit, and is used to reduce the preset concentration threshold according to the relative deviation between the quantity fluctuation value and the preset quantity fluctuation threshold and a preset adjustment coefficient when the quantity fluctuation value is greater than the preset quantity fluctuation threshold, to form an adjusted concentration threshold, and the relative deviation between the quantity fluctuation value and the preset quantity fluctuation threshold is positively correlated with the adjusted concentration threshold.

[0135] The preset quantity fluctuation threshold refers to the threshold used to determine whether the quantity fluctuation reaches the standard that needs to be adjusted, and depends on the sensitivity requirements of the system and empirical data. It is usually set between 10% and 30%. In this embodiment, it is set to 20%, which can maintain a high sensitivity, respond to large fluctuations, but will not trigger adjustment during small fluctuations, avoiding unnecessary frequent changes.

[0136] The preset adjustment coefficient is the adjustment ratio used when calculating the adjusted concentration threshold, and depends on the sensitivity requirements of the system for abnormal situations and experimental optimization. It is usually set between 0.05 and 0.2. In this embodiment, it is set to 0.1, which can effectively adjust the threshold and avoid the system being too sensitive or overreacting due to excessive adjustment.

[0137] The adjustment unit compares the quantity fluctuation value with the preset quantity fluctuation threshold through the quantity fluctuation comparison subunit to obtain a quantity fluctuation comparison result. If the quantity fluctuation value is greater than the preset threshold, the adjustment subunit will reduce the preset concentration threshold according to the relative deviation between the quantity fluctuation value and the preset threshold, thereby forming a new adjusted concentration threshold. This adjustment mechanism can flexibly adjust the monitoring sensitivity according to the fluctuation situation.

[0138] By monitoring the quantity fluctuation in real time and comparing it with the preset threshold, the adjustment unit can automatically reduce the concentration threshold when the fluctuation is large, improve the sensitivity of the system to fine leaks, thereby effectively reducing the possibility of missed alarms, enhancing the accuracy of leak monitoring, increasing the adaptability of the monitoring system, and enabling it to always maintain a high detection accuracy under different environmental changes.

[0139] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easily understood by those skilled in the art that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle 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 these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A multifunctional smart pile for monitoring natural gas leakage in long-distance pipelines, characterized in that: include: Concentration sensor, used to collect real-time gas concentration at the monitoring position above the long-distance pipeline; A vibration sensor for collecting real-time vibration intensity at the monitoring position; An image sensor, used to collect real-time images at the monitoring location; a processor, which is connected to the concentration sensor, the vibration sensor and the image sensor respectively, and includes an extraction module for extracting a real-time crack area, a real-time crack position and a real-time uplift height in the real-time image, an abnormality determination module for determining the presence of a pipeline abnormality according to the real-time gas concentration and a preset concentration threshold value to form a first determination result, a type determination module for determining the abnormality type of the pipeline abnormality according to the first determination result, the real-time vibration intensity and the real-time crack area, a risk determination module for determining the presence of a leakage risk according to the abnormality type and the real-time uplift height to form a second determination result, a level determination module for determining the severity level of the leakage risk according to the second determination result, the real-time gas concentration and the real-time crack position to form a risk level, and an adjustment module for adjusting the preset concentration threshold according to the number of the second determination results formed within a preset adjustment time to form an adjustment concentration threshold; An alarm is connected to the processor and is used to issue a leakage alarm when a risk level is formed based on the adjusted concentration threshold.

2. The multifunctional smart pile for monitoring natural gas leakage in long-distance pipelines according to claim 1 is characterized in that: The abnormality determination module comprises: A concentration comparison unit, used to compare the real-time gas concentration with the preset concentration threshold to form a concentration comparison result; The first determination unit is connected to the concentration comparison unit and is used to determine that there is a pipeline abnormality when the concentration comparison result shows that the real-time gas concentration is greater than the preset concentration threshold, so as to form a first determination result.

3. The multifunctional smart pile for monitoring long-distance pipeline natural gas leakage according to claim 2 is characterized in that: The type determination module comprises: a vibration fluctuation calculation unit, used for calculating the standard deviation of all the real-time vibration intensities within a preset first determination time period when forming the first determination result, to form a vibration fluctuation value; an area fluctuation calculation unit, used to calculate the standard deviation of all the real-time crack areas within the preset first determination time period when forming the first determination result, to form an area fluctuation value; A first determination unit is connected to the vibration fluctuation calculation unit and the area fluctuation calculation unit respectively, and is used to determine the abnormality type of the pipeline abnormality according to the vibration fluctuation value and the area fluctuation value.

4. The multifunctional smart pile for monitoring long-distance pipeline natural gas leakage according to claim 3 is characterized in that: The first determining unit includes: A vibration curve drawing subunit, used for drawing a change curve of the vibration fluctuation value within the preset first determination time length to form a vibration change curve; An area curve drawing subunit, used for drawing a change curve of the area fluctuation value within the preset first determination time length to form an area change curve; a consistency calculation subunit, which is connected to the vibration curve drawing subunit and the area curve drawing subunit respectively, and is used to calculate the cosine similarity of the vibration change curve and the area change curve to form a change consistency; The first determination subunit is connected to the consistency calculation subunit, and is used to determine that the pipeline abnormality is a leakage abnormality when the change consistency is less than a preset consistency threshold, thereby forming an abnormality type.

5. The multifunctional smart pile for monitoring long-distance pipeline natural gas leakage according to claim 4 is characterized in that: The risk determination module comprises: A recording unit, used to record the timestamps of all the real-time uplift heights greater than a preset uplift height threshold within a preset second determination time period after the abnormal type is formed, to form a plurality of timestamps; A second determination unit is connected to the recording unit and is used to form a second determination result according to whether the timestamp has a leakage risk.

6. The multifunctional smart pile for monitoring long-distance pipeline natural gas leakage according to claim 5 is characterized in that: The second determination unit comprises: A time interval calculation subunit, used for calculating the time interval between any two adjacent timestamps to form a plurality of time intervals; A time distribution calculation subunit, connected to the time interval calculation subunit, for calculating the standard deviation of all the time intervals within the preset second determination time length to form a time distribution degree; The second determination subunit is connected to the time distribution calculation subunit and is used to determine that there is a leakage risk when the time distribution degree is greater than a preset time distribution degree threshold, thereby forming a second determination result.

7. The multifunctional smart pile for monitoring long-distance pipeline natural gas leakage according to claim 6 is characterized in that: The level determination module comprises: a position distance calculation unit, used for calculating the Euclidean distance between each of the real-time crack positions and a preset center position when forming the second determination result, to form a plurality of position distances; a position distribution calculation unit connected to the position distance calculation unit, for calculating the standard deviation of all the position distances to form a position distribution degree; A second determination unit is connected to the position distribution calculation unit and is used to determine the severity level of the leakage risk according to the position distribution degree and the real-time gas concentration to form the risk level.

8. The multifunctional smart pile for monitoring long-distance pipeline natural gas leakage according to claim 7 is characterized in that: The second determining unit includes: A concentration fluctuation calculation subunit, used to calculate the standard deviation of all the real-time gas concentrations within a preset determined time period to form a concentration fluctuation value; A position distribution fluctuation calculation subunit, used to calculate the standard deviation of all the position distribution degrees within the preset determined time length to form a position distribution fluctuation value; a synchronization degree calculation subunit, which is connected to the concentration fluctuation calculation subunit and the position distribution fluctuation calculation subunit respectively, and is used to calculate the relative deviation of the concentration fluctuation value and the position distribution fluctuation value to form a synchronization degree; The second determination subunit is connected to the synchronization calculation subunit, and is used to determine the severity level of the leakage risk when the synchronization level is less than a preset synchronization level threshold to form the risk level.

9. The multifunctional smart pile for monitoring natural gas leakage in long-distance pipelines according to claim 8 is characterized in that: The adjustment module comprises: a quantity fluctuation calculation unit, used to calculate the standard deviation of the quantity of the second determination result to form a quantity fluctuation value; An adjustment unit is connected to the quantity fluctuation calculation unit and is used to adjust the preset concentration threshold according to the quantity fluctuation value to form an adjusted concentration threshold.

10. The multifunctional smart pile for monitoring long-distance pipeline natural gas leakage according to claim 9 is characterized in that: The adjustment unit comprises: A quantity fluctuation comparison subunit, used to compare the quantity fluctuation value with a preset quantity fluctuation threshold value to form a quantity fluctuation comparison result; The adjustment subunit is connected to the quantity fluctuation comparison subunit and is used to reduce the preset concentration threshold according to the relative deviation between the quantity fluctuation value and the preset quantity fluctuation threshold and the preset adjustment coefficient to form an adjusted concentration threshold when the quantity fluctuation value is greater than the preset quantity fluctuation threshold.

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