A multi-dimensional safety monitoring method and system for natural gas stations

Abstract

The present invention relates to the technical field of multi-dimensional safety monitoring, and in particular to a multi-dimensional safety monitoring method and system for a natural gas station. The method comprises periodically acquiring historical maintenance data of a natural gas station pipeline and parameter data of an environmental environment in which the pipeline is located; determining a key monitoring area based on the frequency of fault maintenance of the natural gas station pipeline within a first preset period and the degree of corrosiveness of the environment in which the natural gas station pipeline is located within the first preset period; determining whether to issue an early warning for the natural gas station pipeline using different parameters based on whether the key monitoring area is in a blind spot of a fixed camera; determining whether to reduce a sensor calibration period or to exclude an erroneous area at a pipeline position where erroneous judgments have occurred in subsequent judgments based on the incidence rate of pipeline damage events when an early warning is issued within a second preset period and whether continuous misjudgments occur at the same pipeline position in response to a warning signal issued within the second preset period; the present invention improves the safety monitoring accuracy of a natural gas station.

Description

Technical Field

[0001] The present invention relates to the technical field of multi-dimensional safety monitoring, and in particular to a multi-dimensional safety monitoring method and system for a natural gas station. Background Art

[0002] As an important energy source, natural gas plays a key role in industrial production and people's daily lives. Natural gas stations are key nodes for natural gas storage, transportation, and distribution, and their safe operation is crucial. Once a natural gas station leaks, explodes, or experiences an accident, it not only causes severe economic losses but also poses a significant threat to human life and the environment. Existing technologies for monitoring the safety of natural gas stations rely primarily on manual inspections and regular maintenance, but this approach has many limitations. Manual inspections are inefficient and have limited coverage, making it difficult to detect potential safety hazards in a timely manner. While regular maintenance can ensure the normal operation of equipment to a certain extent, it cannot monitor the operating status of pipelines in real time, making it difficult to respond to sudden failures in a timely manner. Furthermore, traditional safety monitoring methods often only detect single parameters, such as pressure and temperature, and cannot fully and accurately reflect the safety status of the pipeline. Furthermore, traditional methods have difficulty detecting some hidden faults, such as minor leaks and internal corrosion.

[0003] Chinese patent publication number: CN117113255B discloses a liquefied natural gas safety monitoring system based on state monitoring and automatic content identification, which includes an acquisition and processing unit, a state monitoring unit, an analysis and prediction unit, an alarm handling unit, and an emergency dispatch unit. The emergency dispatch unit is used to receive data after abnormal state detection, analyzed data, and data after trend prediction, and formulate emergency plans based on the data after abnormal state detection, analyzed data, and data after trend prediction, and then intelligently dispatch the formulated emergency plans. The invention formulates emergency plans based on the analyzed data and the identified data, and activates emergency equipment through the formulation of emergency plans to prevent LNG leakage accidents and avoid the expansion of accidents.

[0004] It can be seen that the existing technology has the problem of inaccurate analysis of the natural gas station safety monitoring process, resulting in a large number of misjudgments and low safety monitoring efficiency. Summary of the Invention

[0005] To this end, the present invention provides a multi-dimensional safety monitoring method and system for natural gas stations, so as to overcome the problem in the prior art that the analysis of the safety monitoring process of natural gas stations is not accurate enough, resulting in a high number of misjudgments and low safety monitoring efficiency.

[0006] To achieve the above objectives, the present invention provides a multi-dimensional safety monitoring method for a natural gas station, comprising:

[0007] Periodically obtain historical maintenance data of natural gas station pipelines and pipeline environmental parameter data;

[0008] Determining a key monitoring area based on a frequency of failure repairs of the natural gas station pipeline within a first preset period and a degree of corrosion of the environment in which the natural gas station pipeline is located within the first preset period;

[0009] Determine whether to issue an early warning for natural gas station pipelines based on sensor data in non-critical monitoring areas;

[0010] Based on whether the key monitoring area is in the blind spot of the fixed camera, determine whether to issue an early warning for the natural gas station pipeline if the deterioration rate of sensor data within a preset time period is greater than the preset deterioration rate, or if pipeline damage occurs in the real-time video;

[0011] Determine to close the pipeline valve or issue a warning signal based on whether there is abnormal data in the pipeline of the natural gas station that issues the early warning;

[0012] Based on the occurrence rate of pipeline damage events when the warning signal is issued within the second preset period, and whether continuous misjudgments occur at the same pipeline location in response to the warning signal being issued within the second preset period, determining whether to reduce the sensor calibration period or whether to exclude the misjudgment area at the pipeline location where the continuous misjudgment occurs in subsequent judgments;

[0013] The degree of corrosion is determined based on the pH and humidity of the environment in which the natural gas station pipeline is located. The presence of pipeline damage in the real-time video includes the presence of black lines or black sunken areas in the real-time video.

[0014] Furthermore, determining the key monitoring areas includes:

[0015] If the fault maintenance frequency of the natural gas station pipeline is greater than the preset maintenance frequency or the corrosiveness of the environment in which the natural gas station pipeline is located is greater than the preset corrosiveness, the natural gas station pipeline is determined to be a key monitoring area;

[0016] If the fault repair frequency of the natural gas station pipeline is less than or equal to the preset repair frequency and the corrosiveness of the environment in which the natural gas station pipeline is located is less than or equal to the preset corrosiveness, the natural gas station pipeline is determined to be a non-critical monitoring area.

[0017] Furthermore, determining whether to issue an early warning for a natural gas station pipeline based on sensor data in a non-critical monitoring area includes:

[0018] If any sensor data in a non-critical monitoring area is greater than the corresponding preset threshold, an early warning is issued for the natural gas station pipeline.

[0019] Furthermore, the preset threshold is determined based on a historical average value of sensor data when pipeline damage occurs.

[0020] Furthermore, the determining whether to issue an early warning for the natural gas station pipeline also includes:

[0021] If the key monitoring area is in the blind spot of the fixed camera, an early warning will be issued for the natural gas station pipeline if pipeline damage is detected in the real-time video or the sensor data deteriorates at a rate greater than the preset rate within a preset period of time;

[0022] If the key monitoring area is not in the blind spot of the fixed camera, it is determined that the deterioration rate of the sensor data within the preset time period is greater than the preset deterioration rate and an early warning is issued for the natural gas station pipeline.

[0023] Furthermore, the preset deterioration rate is determined based on a historical average deterioration rate of corresponding sensor data within a preset period of time when the pipeline is damaged.

[0024] Furthermore, the determining to close the pipeline valve or issue a warning signal includes:

[0025] If abnormal data is found in the pipeline of the natural gas station where the warning is issued, the pipeline valve will be closed;

[0026] If there is no abnormal data in the natural gas station pipeline that issues the early warning, a warning signal will be issued.

[0027] Furthermore, the determining whether to reduce the sensor calibration period, or whether to exclude the misjudgment area at the pipeline position where continuous misjudgment occurs in subsequent judgments, includes:

[0028] If the occurrence rate of pipeline damage events when the warning signal is issued within the second preset period is less than the preset occurrence rate and no continuous misjudgment occurs at the same pipeline position where the warning signal is issued within the second preset period, determining to reduce the sensor calibration period;

[0029] If the occurrence rate of pipeline damage events when the warning is issued within the second preset period is less than the preset occurrence rate and whether continuous misjudgments occur at the same pipeline position where the warning signal is issued within the second preset period, determine to exclude the misjudgment area at the pipeline position where the continuous misjudgment occurs in subsequent judgments.

[0030] Furthermore, the adjustment amount of the sensor calibration period is positively correlated with the occurrence rate of pipeline damage events when the warning is issued within the second preset period.

[0031] A system applied to the multi-dimensional safety monitoring method for a natural gas station, comprising:

[0032] A data acquisition module, which includes a data acquisition unit for acquiring historical maintenance data of the natural gas station pipeline and data from various sensors on the natural gas station pipeline, and a video acquisition unit for acquiring real-time video data of the natural gas station pipeline;

[0033] a data analysis module connected to the data acquisition module, configured to determine a critical monitoring area based on the frequency of repairs of natural gas station pipelines within a first preset period and the degree of corrosion of the environment in which the natural gas station pipelines are located within the first preset period; determine whether to issue an early warning for the natural gas station pipelines based on sensor data from non-critical monitoring areas; and determine whether to issue an early warning for the natural gas station pipelines based on whether the critical monitoring area is in a blind spot of a fixed camera, if a deterioration rate of sensor data within a preset period is greater than a preset deterioration rate, or if pipeline damage appears in real-time video;

[0034] An early warning module, connected to the data analysis module, for determining whether there is abnormal data in the pipeline of the natural gas station that issues the early warning, or for determining whether to close the pipeline valve or issue a warning signal;

[0035] An adjustment module is connected to the early warning module and is used to determine whether to reduce the sensor calibration period or to exclude the misjudgment area at the pipeline location where the misjudgment occurs in subsequent judgments based on the occurrence rate of pipeline damage events when the early warning is issued within the second preset period and whether continuous misjudgments occur at the same pipeline location in response to the warning signal being issued within the second preset period.

[0036] Compared with the prior art, the present invention has the beneficial effect of dividing critical and non-critical monitoring areas by comprehensively considering the frequency of fault repairs and the degree of corrosivity determined based on the environmental pH and humidity. This allows for a more rational allocation of monitoring resources. For natural gas station pipelines identified as critical monitoring areas, monitoring efforts can be increased due to their relatively high probability of failure. For non-critical monitoring areas, relatively conventional monitoring methods can be used, avoiding resource waste and improving overall monitoring efficiency and accuracy. Pipelines that are prone to failure (high maintenance frequency) or located in highly corrosive environments (high corrosivity) are precisely located as critical monitoring areas, facilitating the early detection of potential safety hazards. For example, for pipelines that have been exposed to acidic and humid environments for a long time and have high corrosivity, timely and focused monitoring can capture abnormal signals before serious damage occurs, leading to leaks, explosions, and other accidents. Preventive measures such as repairs and replacements can be taken in advance to ensure the safe and stable operation of the natural gas station. This method improves the accuracy of the analysis of the natural gas station safety monitoring process, reduces the number of misjudgments, and thus improves safety monitoring efficiency.

[0037] Furthermore, the present invention determines whether to issue an early warning by comparing the sensor data in non-critical monitoring areas with a preset threshold value determined based on the historical average value of sensor data when the pipeline is damaged. This can accurately capture abnormal signals that may indicate a problem with the pipeline. Even in non-critical monitoring areas with relatively low risks, once the data of a certain sensor exceeds the corresponding preset threshold value, it means that the operating status of the pipeline has deviated from normal, and there is a high possibility of hidden dangers such as damage. Therefore, a timely early warning is issued to avoid the development of hidden dangers into serious accidents due to neglect of these areas. The above method improves the accuracy of the analysis of the safety monitoring process of natural gas stations, reduces the number of misjudgments, and thus improves the efficiency of safety monitoring.

[0038] Furthermore, the present invention determines whether to issue an early warning by combining multiple dimensions, including whether the key monitoring area is in the blind spot of a fixed camera, the condition of pipeline damage in the real-time video, and the comparison result of the sensor data deterioration rate with the preset rate. This avoids the possible misjudgment that may occur when relying on a single factor for judgment, determines different early warning bases according to the visual conditions of the key monitoring area, and guides a more reasonable allocation of monitoring resources. For areas that are not in the blind spots of fixed cameras, appropriate emphasis can be placed on real-time analysis of sensor data. For areas in the blind spots, while ensuring sensor monitoring, consideration can be given to adding mobile monitoring equipment or optimizing sensor layout to better coordinate video monitoring and data deterioration judgment to achieve early warning, so that resources can be focused where they are most needed, improving resource utilization efficiency, and at the same time achieving efficient early warning functions to ensure the safe operation of station pipelines. This clear early warning and judgment mechanism based on a combination of multiple conditions allows for rapid issuance of early warnings once the corresponding conditions are met. Operators can receive signals of possible pipeline problems in the first place and quickly initiate corresponding troubleshooting, maintenance, and other response processes, reducing the possibility of safety accidents due to untimely responses, and improving the emergency response speed and handling capabilities of the entire natural gas station to potential risks. The above method improves the accuracy of the analysis of the natural gas station safety monitoring process, reduces the number of misjudgments, and thus improves safety monitoring efficiency.

[0039] Furthermore, the present invention determines whether to reduce the sensor calibration period based on a comparison between the incidence rate of pipeline damage events when an early warning is issued within a second preset period and a preset incidence rate, thereby achieving dynamic optimization of the sensor calibration work. If the incidence rate is less than the preset incidence rate, it means that the early warning effect of the current sensor is relatively good and there are fewer false alarms. Appropriately reducing the calibration period can further improve the accuracy of the sensor data, enabling it to more sensitively capture subtle changes in the pipeline, better provide accurate data support for subsequent judgments on the safety status of the pipeline, and improve the reliability of the entire monitoring system. When continuous misjudgments occur at the same pipeline position where a warning signal is issued within the second preset period, it is determined to exclude the misjudgment area in subsequent judgments, which can effectively avoid the interference of these frequently misjudged areas on the overall judgment work. Continuous misjudgments may be due to local environmental factors, sensor failures, and other reasons, which cause the data in the area to appear abnormal even though the pipeline is not actually damaged. After eliminating these factors, when subsequently analyzing whether there are problems with the pipeline, staff can focus on more valuable areas where real hidden dangers are more likely to occur, reducing unnecessary inspections and analysis work and improving the efficiency of decision-making. The above method improves the accuracy of the analysis of the safety monitoring process of natural gas stations, reduces the number of misjudgments, and thus improves the efficiency of safety monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a workflow diagram of a multi-dimensional safety monitoring method for a natural gas station according to an embodiment of the present invention;

[0041] Figure 2 This is a workflow diagram for determining key monitoring areas in a multi-dimensional safety monitoring method for a natural gas station according to an embodiment of the present invention;

[0042] Figure 3 The diagram is a structural diagram of a system for applying a multi-dimensional safety monitoring method for a natural gas station according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0044] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0045] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0046] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0047] See also Figure 1-Figure 2 As shown, Figure 1 This is a workflow diagram of a multi-dimensional safety monitoring method for a natural gas station according to an embodiment of the present invention; Figure 2 This is a workflow diagram for determining key monitoring areas in a multi-dimensional safety monitoring method for a natural gas station according to an embodiment of the present invention.

[0048] The multi-dimensional safety monitoring method for a natural gas station of the present invention comprises:

[0049] Step S1, periodically obtaining historical maintenance data of natural gas station pipelines and environmental parameter data of the pipelines;

[0050] Step S2: determining a key monitoring area based on the frequency of failure repairs of the natural gas station pipeline within a first preset period and the degree of corrosion of the environment in which the natural gas station pipeline is located within the first preset period;

[0051] Step S3, determining whether to issue an early warning for the natural gas station pipeline based on the sensor data in the non-critical monitoring area;

[0052] Step S4: Based on whether the key monitoring area is in a fixed camera blind spot, determining whether to issue an early warning for the natural gas station pipeline by determining whether the sensor data deterioration rate within a preset time period is greater than a preset deterioration rate, or by determining whether pipeline damage occurs in the real-time video;

[0053] Step S5, determining to close the pipeline valve or issue a warning signal based on whether there is abnormal data in the pipeline of the natural gas station that issues the warning;

[0054] Step S6: Based on the incidence rate of pipeline damage events when warning signals are issued within the second preset period, and whether consecutive misjudgments occur at the same pipeline location where warning signals are issued within the second preset period, determining whether to reduce the sensor calibration period or to exclude the misjudgment area at the pipeline location where consecutive misjudgments occur in subsequent judgments;

[0055] The erosion degree is determined according to the pH and humidity of the environment in which the natural gas station pipeline is located. The presence of pipeline damage in the real-time video includes the presence of black lines or black concave areas in the real-time video.

[0056] In the embodiment of the present invention, the historical maintenance data includes but is not limited to "number of pipeline maintenances, pipeline maintenance locations, and pipeline maintenance reasons", and the environmental parameter data includes but is not limited to "acidity data, alkalinity data, and humidity data".

[0057] Specifically, in step S2, when determining the key monitoring area, the key monitoring area is determined based on the frequency of failure repairs of the natural gas station pipeline within the first preset period and the corrosiveness of the environment in which the natural gas station pipeline is located within the first preset period;

[0058] When the failure repair frequency of the natural gas station pipeline is greater than the preset repair frequency or the corrosiveness of the environment in which the natural gas station pipeline is located is greater than the preset corrosiveness, the natural gas station pipeline is determined to be a key monitoring area;

[0059] When the fault repair frequency of the natural gas station pipeline is less than or equal to the preset repair frequency and the corrosiveness of the environment in which the natural gas station pipeline is located is less than or equal to the preset corrosiveness, the natural gas station pipeline is determined to be a non-critical monitoring area.

[0060] In the embodiment of the present invention, the first preset period is set to 30 days. The corrosiveness of the environment in which the natural gas station pipeline is located is determined based on the pH and humidity of the environment in which the natural gas station pipeline is located. The value of the corrosiveness is the sum of the absolute value of the difference between the pH value of the environment in which the natural gas station pipeline is located and 7 and the humidity. For example, if the pH value of the environment in which the natural gas station pipeline is located is 3 and the humidity is 30%, the corrosiveness is 4.3, and the value of the preset corrosiveness is set to 3.5. However, the above value is not limited to this, and those skilled in the art may also adjust the value according to actual needs.

[0061] The present invention divides key and non-key monitoring areas by comprehensively considering the frequency of fault repairs and the degree of corrosion determined based on the environmental pH and humidity. This allows for a more rational allocation of monitoring resources. For natural gas station pipelines identified as key monitoring areas, monitoring efforts can be increased due to their relatively high probability of failure. For non-key monitoring areas, relatively conventional monitoring methods can be used, avoiding resource waste and improving overall monitoring efficiency and accuracy. Pipelines that are prone to failure (high maintenance frequency) or located in highly corrosive environments (high corrosion) are precisely located as key monitoring areas, facilitating the early detection of potential safety hazards. For example, for pipelines that have been exposed to acidic and humid environments for a long time and have high corrosion, timely and focused monitoring can capture abnormal signals before serious damage occurs, leading to leaks, explosions, and other accidents. Preventive measures such as repairs and replacements can be taken in advance to ensure the safe and stable operation of the natural gas station. This method improves the accuracy of the analysis of the natural gas station safety monitoring process, reduces the number of misjudgments, and thus improves safety monitoring efficiency.

[0062] Specifically, in step S3, when determining whether to issue an early warning for a natural gas station pipeline based on sensor data in a non-critical monitoring area, determining whether to issue an early warning for a natural gas station pipeline based on a comparison result of the sensor data in the non-critical monitoring area with a preset threshold value;

[0063] When the data of any sensor in the non-critical monitoring area is greater than the corresponding preset threshold, an early warning is issued for the natural gas station pipeline;

[0064] When all sensor data in the non-critical monitoring area are less than the corresponding preset threshold value, it is determined that no early warning will be issued for the natural gas station pipeline.

[0065] In the embodiment of the present invention, the sensor data includes but is not limited to "pressure sensor data, temperature sensor data, and vibration sensor data." The preset threshold is determined based on the historical average value of the sensor data when the pipeline is damaged. For example, the historical average value of the temperature sensor data when the pipeline is damaged is the preset threshold value of the temperature sensor data.

[0066] The present invention determines whether to issue an early warning by comparing the sensor data in non-critical monitoring areas with a preset threshold value determined based on the historical average value of sensor data when the pipeline is damaged. This can accurately capture abnormal signals that may indicate pipeline problems. Even in non-critical monitoring areas with relatively low risks, once the data of a certain sensor exceeds the corresponding preset threshold value, it means that the pipeline operation status has deviated from normal, and there is a high possibility of hidden dangers such as damage. Therefore, a timely early warning is issued to avoid the development of hidden dangers into serious accidents due to neglect of these areas. The above method improves the accuracy of the analysis of the safety monitoring process of natural gas stations, reduces the number of misjudgments, and thus improves the efficiency of safety monitoring.

[0067] Specifically, in step S4, when determining whether to issue an early warning for a natural gas station pipeline, the determination is made based on whether the key monitoring area is in a blind spot of a fixed camera, whether pipeline damage is present in the real-time video, and a comparison result of the sensor data deterioration rate within a preset time period with a preset rate.

[0068] When the key monitoring area is in the blind spot of the fixed camera, an early warning is issued for the natural gas station pipeline when pipeline damage is detected in the real-time video or the deterioration rate of sensor data within a preset period is greater than the preset deterioration rate;

[0069] When the key monitoring area is not in the blind spot of the fixed camera, it is determined that the deterioration rate of the sensor data within the preset time period is greater than the preset deterioration rate and an early warning is issued for the natural gas station pipeline.

[0070] In an embodiment of the present invention, the preset duration is set to 30 seconds. The preset deterioration rate is the historical average deterioration rate of the corresponding sensor data within the preset duration when the pipeline is damaged. The deterioration rate of the sensor data within the preset duration is the rate of change of the sensor data toward the preset threshold within the preset duration when the sensor data is greater than nine-tenths of the preset threshold. For example, assume that the preset threshold corresponding to the normal operating pressure range of a natural gas station pipeline is 4 MPa (megapascals). During the monitoring process, the pressure sensor data gradually increases and reaches nine-tenths of the preset threshold, that is, 4 MPa×0.9=3.6 MPa. The timing starts from the moment the pressure reaches 3.6 MPa. Within the preset duration (30 seconds), if the pressure continues to change rapidly toward the preset threshold of 4 MPa, for example, starting at 3.6 MPa and reaching 3.9 MPa after 30 seconds, the pressure change within these 30 seconds is 3.9 MPa-3.6 MPa=0.3 MPa. The deterioration rate of the pressure sensor data within these 30 seconds is 0.3MPa÷30 seconds=0.01MPa / second. If the preset deterioration rate is set to 0.008MPa / second, since the actual deterioration rate of 0.01MPa / second is greater than the preset deterioration rate, the conditions for issuing an early warning are met, and an early warning needs to be issued for the natural gas station pipeline.

[0071] The present invention determines whether to issue an early warning by combining multiple dimensions, including whether the key monitoring area is in the blind spot of a fixed camera, the condition of pipeline damage in real-time video, and the comparison result of the sensor data deterioration rate with the preset rate. This avoids the possible misjudgment that may occur when relying on a single factor. Different early warning criteria are determined according to the visual conditions of the key monitoring area, guiding a more reasonable allocation of monitoring resources. For areas that are not in the blind spots of fixed cameras, appropriate emphasis can be placed on real-time analysis of sensor data. For areas in the blind spots, while ensuring sensor monitoring, consideration can be given to adding mobile monitoring equipment or optimizing sensor layout to better coordinate video monitoring and data deterioration judgment to achieve early warning, so that resources can be focused where they are most needed, improving resource utilization efficiency, and at the same time achieving efficient early warning functions to ensure the safe operation of station pipelines. This clear early warning and judgment mechanism based on a combination of multiple conditions allows for rapid issuance of early warnings once the corresponding conditions are met. Operators can receive signals of possible pipeline problems in the first place and quickly initiate corresponding troubleshooting, maintenance, and other response processes, reducing the possibility of safety accidents due to untimely responses, and improving the emergency response speed and handling capabilities of the entire natural gas station to potential risks. The above method improves the accuracy of the analysis of the natural gas station safety monitoring process, reduces the number of misjudgments, and thus improves safety monitoring efficiency.

[0072] Specifically, in step S5, when it is determined to close the pipeline valve or issue a warning signal, the decision to close the pipeline valve or issue a warning signal is made based on whether there is abnormal data in the pipeline of the natural gas station that issues the warning;

[0073] When abnormal data is found in the pipeline of the natural gas station where the warning is issued, the pipeline valve is closed;

[0074] When there is no abnormal data in the natural gas station pipeline that issues the early warning, it is determined that a warning signal is issued.

[0075] In the embodiment of the present invention, the abnormal data refers to sensor data exceeding a preset threshold and sensor data with a deterioration rate greater than a preset deterioration rate. The issuing of a warning signal includes but is not limited to issuing a pipeline damage warning to staff.

[0076] Specifically, in step S6, when determining whether to reduce the sensor calibration period or whether to exclude the misjudgment area at the pipeline position where continuous misjudgment occurs in subsequent judgments, the occurrence rate of pipeline damage events when the early warning is issued within the second preset period and whether continuous misjudgment occurs at the same pipeline position in response to the warning signal issued within the second preset period are considered;

[0077] When the occurrence rate of pipeline damage events when the warning signal is issued within the second preset period is less than the preset occurrence rate and no continuous misjudgment occurs at the same pipeline position where the warning signal is issued within the second preset period, determining to reduce the sensor calibration period;

[0078] When the occurrence rate of pipeline damage events when an early warning is issued within the second preset period is less than the preset occurrence rate and whether continuous misjudgments occur at the same pipeline position where the warning signal is issued within the second preset period, it is determined that the misjudgment area at the pipeline position where the continuous misjudgments occur is excluded in subsequent judgments.

[0079] In the embodiment of the present invention, the value of the second preset period is set to 10 days, the occurrence rate of the pipeline damage event when the warning is issued is the ratio of the number of pipeline valve damage events when the warning is issued to the number of warnings issued, and the value of the preset occurrence rate is set to 0.85, but the above value is not limited to this. Those skilled in the art can also adjust the value according to actual needs.

[0080] Specifically, when it is determined to reduce the sensor calibration period, it is determined to adjust the sensor calibration period by an adjustment coefficient.

[0081] In the embodiment of the present invention, the adjustment coefficient is set to a value range of 0.82-0.96, and the value of the adjustment coefficient is preferably 0.86. The adjustment amount of the sensor calibration period is positively correlated with the incidence rate of pipeline damage events when an early warning is issued within the second preset period. However, the above value is not limited to this, and those skilled in the art can also adjust the value according to actual needs.

[0082] In the embodiment of the present invention, excluding the misjudged area at the position of the pipeline where continuous misjudgment occurs in subsequent judgment includes excluding the misjudged area when subsequently judging the pipeline where continuous misjudgment occurs.

[0083] The present invention dynamically optimizes sensor calibration by determining whether to reduce the sensor calibration period based on the comparison of the pipeline damage event rate during the second preset period with the preset rate. If the rate is lower than the preset rate, the current sensor's warning effectiveness is relatively good, with fewer false alarms. Appropriately reducing the calibration period can further improve the accuracy of sensor data, enabling it to more sensitively capture subtle changes in the pipeline, providing accurate data support for subsequent assessments of pipeline safety, and enhancing the reliability of the entire monitoring system. If repeated false positives occur at the same pipeline location where warning signals were issued during the second preset period, the false positive region is excluded from subsequent assessments, effectively preventing these frequently false positives from interfering with the overall assessment process. Continuous false positives may be caused by local environmental factors, sensor failure, or other factors, resulting in data anomalies in that region, even though the pipeline is not actually damaged. By eliminating these regions, subsequent analysis of pipeline problems allows personnel to focus on more valuable areas with a higher likelihood of real hidden dangers, reducing unnecessary investigation and analysis work and improving decision-making efficiency. This method improves the accuracy of analysis of the natural gas station safety monitoring process, reduces the number of false positives, and thus improves safety monitoring efficiency.

[0084] See also Figure 3 As shown, Figure 3 The diagram is a structural diagram of a system for applying a multi-dimensional safety monitoring method for a natural gas station according to an embodiment of the present invention.

[0085] Specifically, a system applied to the multi-dimensional safety monitoring method for a natural gas station includes:

[0086] A data acquisition module, which includes a data acquisition unit for acquiring historical maintenance data of the natural gas station pipeline and data from various sensors on the natural gas station pipeline, and a video acquisition unit for acquiring real-time video data of the natural gas station pipeline;

[0087] a data analysis module connected to the data acquisition module, configured to determine a critical monitoring area based on the frequency of repairs of natural gas station pipelines within a first preset period and the degree of corrosion of the environment in which the natural gas station pipelines are located within the first preset period; determine whether to issue an early warning for the natural gas station pipelines based on sensor data from non-critical monitoring areas; and determine whether to issue an early warning for the natural gas station pipelines based on whether the critical monitoring area is in a blind spot of a fixed camera, if a deterioration rate of sensor data within a preset period is greater than a preset deterioration rate, or if pipeline damage appears in real-time video;

[0088] An early warning module, connected to the data analysis module, for determining whether there is abnormal data in the pipeline of the natural gas station that issues the early warning, or for determining whether to close the pipeline valve or issue a warning signal;

[0089] An adjustment module is connected to the early warning module and is used to determine whether to reduce the sensor calibration period or to exclude the misjudgment area at the pipeline location where the misjudgment occurs in subsequent judgments based on the occurrence rate of pipeline damage events when the early warning is issued within the second preset period and whether continuous misjudgments occur at the same pipeline location in response to the warning signal being issued within the second preset period.

[0090] Thus far, the technical solutions of the present invention have been described in conjunction with 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 may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

Claims

1. A multi-dimensional safety monitoring method for a natural gas station, characterized in that: include: Periodically obtain historical maintenance data of natural gas station pipelines and pipeline environmental parameter data; Determining a key monitoring area based on a frequency of failure repairs of the natural gas station pipeline within a first preset period and a degree of corrosion of the environment in which the natural gas station pipeline is located within the first preset period; Determine whether to issue an early warning for natural gas station pipelines based on sensor data in non-critical monitoring areas; Based on whether the key monitoring area is in the blind spot of the fixed camera, determine whether to issue an early warning for the natural gas station pipeline if the deterioration rate of sensor data within a preset time period is greater than the preset deterioration rate, or if pipeline damage occurs in the real-time video; Determine to close the pipeline valve or issue a warning signal based on whether there is abnormal data in the pipeline of the natural gas station that issues the early warning; Based on the occurrence rate of pipeline damage events when the warning signal is issued within the second preset period, and whether continuous misjudgments occur at the same pipeline location in response to the warning signal being issued within the second preset period, determining whether to reduce the sensor calibration period or whether to exclude the misjudgment area at the pipeline location where the continuous misjudgment occurs in subsequent judgments; The erosion degree is determined according to the pH and humidity of the environment in which the natural gas station pipeline is located. The presence of pipeline damage in the real-time video includes the presence of black lines or black concave areas in the real-time video. The preset deterioration rate is determined based on the historical average deterioration rate of corresponding sensor data within a preset period of time when the pipeline is damaged; The adjustment amount of the sensor calibration period is positively correlated with the occurrence rate of pipeline damage events when an early warning is issued within the second preset period.

2. The multi-dimensional safety monitoring method for a natural gas station according to claim 1, characterized in that: The key monitoring areas include: If the fault maintenance frequency of the natural gas station pipeline is greater than the preset maintenance frequency or the corrosiveness of the environment in which the natural gas station pipeline is located is greater than the preset corrosiveness, the natural gas station pipeline is determined to be a key monitoring area; If the fault repair frequency of the natural gas station pipeline is less than or equal to the preset repair frequency and the corrosiveness of the environment in which the natural gas station pipeline is located is less than or equal to the preset corrosiveness, the natural gas station pipeline is determined to be a non-critical monitoring area.

3. The multi-dimensional safety monitoring method for a natural gas station according to claim 2 is characterized in that: Determining whether to issue an early warning for a natural gas station pipeline based on sensor data in a non-critical monitoring area includes: If any sensor data in a non-critical monitoring area is greater than the corresponding preset threshold, an early warning is issued for the natural gas station pipeline.

4. The multi-dimensional safety monitoring method for a natural gas station according to claim 3 is characterized in that: The preset threshold is determined based on the historical average value of sensor data when the pipeline is damaged.

5. The multi-dimensional safety monitoring method for a natural gas station according to claim 4 is characterized in that: The determination of whether to issue an early warning for a natural gas station pipeline further includes: If the key monitoring area is in the blind spot of the fixed camera, an early warning will be issued for the natural gas station pipeline if pipeline damage is detected in the real-time video or the sensor data deteriorates at a rate greater than the preset rate within a preset period of time; If the key monitoring area is not in the blind spot of the fixed camera, it is determined that the deterioration rate of the sensor data within the preset time period is greater than the preset deterioration rate and an early warning is issued for the natural gas station pipeline; Among them, early warning is carried out by adding mobile monitoring equipment or optimizing sensor layout in conjunction with video monitoring and data deterioration judgment.

6. The multi-dimensional safety monitoring method for a natural gas station according to claim 5, characterized in that: The determining to close the pipeline valve or to issue a warning signal comprises: If abnormal data is found in the pipeline of the natural gas station where the warning is issued, the pipeline valve will be closed; If there is no abnormal data in the natural gas station pipeline where the early warning is issued, a warning signal will be issued.

7. The multi-dimensional safety monitoring method for a natural gas station according to claim 6, characterized in that: The determining whether to reduce the sensor calibration period, or whether to exclude the misjudgment area at the pipeline position where continuous misjudgment occurs in subsequent judgment, includes: If the occurrence rate of pipeline damage events when the warning signal is issued within the second preset period is less than the preset occurrence rate and no continuous misjudgment occurs at the same pipeline position where the warning signal is issued within the second preset period, determining to reduce the sensor calibration period; If the occurrence rate of pipeline damage events when the warning is issued within the second preset period is less than the preset occurrence rate and whether continuous misjudgments occur at the same pipeline position where the warning signal is issued within the second preset period, determine to exclude the misjudgment area at the pipeline position where the continuous misjudgment occurs in subsequent judgments.

8. A system for the multi-dimensional safety monitoring method for a natural gas station according to any one of claims 1 to 7, characterized in that: include: A data acquisition module, which includes a data acquisition unit for acquiring historical maintenance data of the natural gas station pipeline and data from various sensors on the natural gas station pipeline, and a video acquisition unit for acquiring real-time video data of the natural gas station pipeline; a data analysis module connected to the data acquisition module, configured to determine a critical monitoring area based on the frequency of failure repairs on the natural gas station pipeline within a first preset period and the degree of corrosion of the environment in which the natural gas station pipeline is located within the first preset period; and to determine whether to issue an early warning for the natural gas station pipeline based on sensor data in non-critical monitoring areas; And based on whether the key monitoring area is in the blind spot of the fixed camera, determine whether to issue an early warning for the natural gas station pipeline if the deterioration rate of sensor data within a preset time period is greater than the preset deterioration rate, or if pipeline damage occurs in the real-time video; An early warning module, connected to the data analysis module, for determining whether there is abnormal data in the pipeline of the natural gas station that issues the early warning, or for determining whether to close the pipeline valve or issue a warning signal; An adjustment module is connected to the early warning module and is used to determine whether to reduce the sensor calibration period or to exclude the misjudgment area at the pipeline location where the misjudgment occurs in subsequent judgments based on the occurrence rate of pipeline damage events when the early warning is issued within the second preset period and whether continuous misjudgments occur at the same pipeline location in response to the warning signal being issued within the second preset period.

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