Multi-dimensional safety monitoring method and system for natural gas station

Abstract

The invention relates to the technical field of multi-dimensional safety monitoring, in particular to a multi-dimensional safety monitoring method and system for a natural gas station, and the method comprises the steps: periodically obtaining the historical maintenance data of a pipeline of the natural gas station and the parameter data of the environment where the pipeline is located; determining a key monitoring area based on the fault maintenance frequency of the natural gas station pipeline in the first preset period and the erosion degree of the environment where the natural gas station pipeline is located in the first preset period; on the basis of whether the key monitoring area is in a fixed camera blind area, determining to send out early warning for the natural gas station pipeline with different parameters; on the basis of the occurrence rate of a pipeline damage event when early warning is sent out in a second preset period and whether continuous misjudgment occurs at the same pipeline position sending out the warning signal in the second preset period, whether the sensor calibration period is shortened or not is determined, or whether a misjudgment area at the pipeline position where continuous misjudgment occurs or not is excluded during subsequent judgment; the safety monitoring precision of the natural gas station is improved.

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 residents' lives. Natural gas stations are key nodes for natural gas storage, transportation and distribution. Their safe operation is of vital importance. Once a natural gas station leaks, explodes or other accidents, it will not only cause serious economic losses, but also pose a huge threat to the safety of people's lives and the environment. In the existing technology, the safety monitoring of natural gas stations mainly relies on manual inspections and regular maintenance. However, this method has many limitations. Manual inspections are inefficient and have limited coverage, making it difficult to detect potential safety hazards in a timely manner. Although regular maintenance can ensure the normal operation of equipment to a certain extent, it cannot monitor the operating status of the pipeline in real time, and it is difficult to respond to sudden failures in a timely manner. In addition, traditional safety monitoring methods can often only detect single parameters, such as pressure, temperature, etc., and cannot fully and accurately reflect the safety status of the pipeline. Moreover, some hidden faults, such as small leaks and corrosion inside the pipeline, are difficult to detect with traditional methods.

[0003] Chinese Patent Publication No.: CN117113255B discloses a liquefied natural gas safety monitoring system based on state monitoring and automatic content identification, which includes a collection 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 predicted trend data, and formulate emergency plans for the data after abnormal state detection, analyzed data, and predicted trend data, and then intelligently dispatch the formulated emergency plans. The invention formulates emergency plans based on analyzed data and identified data, and activates emergency equipment through formulating 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 a natural gas station, so as to overcome the problem in the prior art that the analysis of the safety monitoring process of a natural gas station is not accurate enough, resulting in a large 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 environmental parameter data of pipelines;

[0008] Determine the key monitoring area based on the failure maintenance frequency 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;

[0009] Determine whether to issue an early warning for the natural gas station pipeline 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, it is determined that 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 is issued for the natural gas station pipeline;

[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 warning;

[0012] Based on the occurrence rate of pipeline damage events when an 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 being issued within the second preset period, determine 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;

[0013] The degree of corrosion is determined according to the pH and humidity of the environment in which the natural gas station pipeline is located, and 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, the determining of key monitoring areas includes:

[0015] If the failure 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 maintenance frequency of the natural gas station pipeline is less than or equal to the preset maintenance 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 the natural gas station pipeline according to the sensor data of the 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 the pipeline is damaged.

[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 occurs in the real-time video or the deterioration rate of sensor data within a preset time period is greater than the preset deterioration rate;

[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 according to the historical average deterioration rate of corresponding sensor data within a preset time period when the pipeline is damaged.

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

[0025] If there is abnormal data in the natural gas station pipeline that issues the warning, make sure to close the pipeline valve;

[0026] If 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.

[0027] Further, 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 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, determine to reduce the sensor calibration period;

[0029] If 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 a warning signal is issued within the second preset period, determine to exclude the misjudgment area at the pipeline position where continuous misjudgments occur 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 an early 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 of various sensors of 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, which is connected to the data acquisition module, is used to determine the key monitoring area according to 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; and determine whether to issue an early warning for the natural gas station pipeline according to the sensor data of the non-key monitoring area; and determine whether to issue an early warning for the natural gas station pipeline according to whether the key monitoring area is in a blind spot of a fixed camera, if the deterioration rate of the sensor data within a preset time period is greater than a preset deterioration rate, or if pipeline damage occurs in the real-time video;

[0034] An early warning module, which is connected to the data analysis module, is used to determine whether there is abnormal data in the natural gas station pipeline that issues the early warning, or to close the pipeline valve, or to 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 position where the continuous misjudgment occurs in subsequent judgments according to 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 being issued within the second preset period.

[0036] Compared with the prior art, the beneficial effect of the present invention is that the present invention divides the key monitoring area and the non-key monitoring area by comprehensively considering the fault maintenance frequency and the corrosion degree determined based on the environmental pH and humidity, so that the monitoring resources can be allocated more reasonably. For the natural gas station pipeline determined as the key monitoring area, the monitoring intensity can be increased because the possibility of its failure is relatively high, while for the non-key monitoring area, a relatively conventional monitoring method can be adopted to avoid waste of resources, improve the monitoring efficiency and accuracy as a whole, and accurately locate those pipelines that are prone to failure (high maintenance frequency) or are in an environment with strong corrosion (high corrosion degree) as key monitoring areas, which is helpful to discover potential safety hazards in advance. For example, for pipelines that are in an acidic and humid environment for a long time and have a high corrosion degree, timely key monitoring can capture abnormal signals before the pipeline is seriously damaged and causes leakage, explosion and other accidents, and take preventive measures such as maintenance and replacement in advance to ensure the safe and stable operation of the natural gas station. The above method improves the accuracy of the analysis of the safety monitoring process of the natural gas station to reduce the number of misjudgments and thus improve the safety monitoring efficiency.

[0037] Furthermore, the present invention determines whether to issue an early warning by comparing the sensor data in the non-critical monitoring area with the preset threshold value determined according to the historical average value of the sensor data when the pipeline is damaged. It can accurately capture abnormal signals that may indicate problems with the pipeline. Even in non-critical monitoring areas with relatively low risks, once a sensor data exceeds the corresponding preset threshold value, it means that the operation state of the pipeline has deviated from the normal state, and there is a high possibility of hidden dangers such as damage. Therefore, an early warning is issued in time to avoid the hidden dangers from developing into serious accidents due to ignoring these areas. The above method improves the accuracy of the analysis of the safety monitoring process of the natural gas station to reduce the number of misjudgments and thus improve the efficiency of safety monitoring.

[0038] Furthermore, the present invention determines whether to issue an early warning by combining multiple dimensions such as whether the key monitoring area is in the blind spot of the fixed camera, the damage of the pipeline in the real-time video, and the comparison result of the sensor data deterioration rate with the preset rate. This avoids the 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, we can appropriately focus on real-time analysis of sensor data; for areas in the blind spots, while ensuring sensor monitoring, we can consider adding mobile monitoring equipment or optimizing sensor layout to better cooperate with video monitoring and data deterioration judgment to achieve early warning, so that resources can be focused on where they are most needed, improve resource utilization efficiency, and at the same time achieve efficient early warning functions to ensure safe operation of station pipelines. This clear early warning judgment mechanism based on a combination of multiple conditions allows early warnings to be issued quickly once the corresponding conditions are met. Operators can receive signals that may have problems with the pipeline in the first place and quickly start corresponding troubleshooting, maintenance and other response processes, reducing the possibility of safety accidents due to untimely response, and improving the emergency response speed and processing capabilities of the entire natural gas station to potential risks. The above method improves the accuracy of the analysis of the safety monitoring process of the natural gas station to reduce the number of misjudgments and thus improve the efficiency of safety monitoring.

[0039] Furthermore, the present invention determines whether to reduce the sensor calibration period based on the comparison between the incidence rate of pipeline damage events when an early warning is issued within the second preset period and the preset incidence rate, thereby realizing 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 sensor data, so that it can 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 misjudged area in subsequent judgments, which can effectively avoid the interference of these frequently misjudged areas with the overall judgment work. Continuous misjudgments may be due to local environmental factors, sensor failures, etc., which cause the data in the area to be abnormal but the actual pipeline is not damaged. After eliminating these factors, when analyzing whether there are problems with the pipeline, the staff can focus on more valuable areas where real hidden dangers are more likely to occur, reduce unnecessary investigation and analysis work, and improve 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 A flowchart of a process 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 present invention is a schematic diagram of the structure 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 only used to explain the present invention and are not used 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 protection scope 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 drawings. This is merely 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] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to 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 The present invention is a flowchart of a process 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 failure maintenance frequency of the natural gas station pipeline within a first preset period and the corrosiveness 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 of the non-critical monitoring area;

[0052] Step S4, based on whether the key monitoring area is in the blind spot of the fixed camera, it is determined that the deterioration rate of the sensor data within a preset time period is greater than the preset deterioration rate, or that pipeline damage occurs in the real-time video, and an early warning is issued for the natural gas station pipeline;

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

[0054] Step S6, based on the occurrence rate of pipeline damage events when the warning is issued within the second preset period, and whether continuous misjudgment occurs at the same pipeline position in response to the warning signal being issued within the second preset period, determine 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;

[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 sunken areas in the real-time video.

[0056] The historical maintenance data in the embodiment of the present invention includes but is not limited to "the number of pipeline maintenance, pipeline maintenance location and pipeline maintenance reason", 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 according to the failure maintenance frequency 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 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;

[0059] When the failure 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, and the corrosiveness of the environment in which the natural gas station pipeline is located is determined according to the pH value 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, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0061] The present invention divides the key monitoring area and the non-key monitoring area by comprehensively considering the fault maintenance frequency and the corrosion degree determined based on the environmental pH and humidity, so that the monitoring resources can be allocated more reasonably. For the natural gas station pipeline determined as the key monitoring area, the monitoring intensity can be increased because the possibility of its failure is relatively high, while for the non-key monitoring area, a relatively conventional monitoring method can be adopted to avoid waste of resources and improve the monitoring efficiency and accuracy as a whole. Pipelines that are prone to failure (high maintenance frequency) or are in an environment with strong corrosion (high corrosion degree) are accurately positioned as key monitoring areas, which is helpful to discover potential safety hazards in advance. For example, for pipelines that are in an acidic and humid environment for a long time and have a high corrosion degree, timely key monitoring can capture abnormal signals before the pipeline is seriously damaged and causes leakage, explosion and other accidents, and take preventive measures such as maintenance and replacement in advance to ensure the safe and stable operation of the natural gas station. The above method improves the accuracy of the analysis of the safety monitoring process of the natural gas station to reduce the number of misjudgments and thus improve the 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 between the sensor data in the non-critical monitoring area and a preset threshold value;

[0063] When any sensor data in the non-critical monitoring area is greater than the corresponding preset threshold, it is determined to issue an early warning 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 warning will be issued for the natural gas station pipeline.

[0065] The sensor data in the embodiment of the present invention 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 of each non-critical monitoring area with a preset threshold value determined based on the historical average value of the sensor data when the pipeline is damaged. It can accurately capture abnormal signals that may indicate problems with the pipeline. Even in non-critical monitoring areas with relatively low risks, once a sensor data exceeds the corresponding preset threshold value, it means that the pipeline operation state has deviated from normal, and there is a high possibility of hidden dangers such as damage. Therefore, an early warning is issued in time to avoid the hidden dangers from developing into serious accidents due to ignoring these areas. The above method improves the accuracy of the analysis of the safety monitoring process of the natural gas station to reduce the number of misjudgments and thus improve the efficiency of safety monitoring.

[0067] Specifically, in step S4, when determining whether to issue an early warning for a natural gas station pipeline, it is determined whether to issue an early warning for a natural gas station pipeline based on whether the key monitoring area is in a blind spot of a fixed camera, whether pipeline damage occurs in the real-time video, and the comparison result of the deterioration rate of sensor data within a preset time period and 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 occurs in the real-time video or the deterioration rate of sensor data within a preset time 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 the embodiment of the present invention, the preset time length is set to 30 seconds, and the value of the preset deterioration rate is the historical average deterioration rate of the corresponding sensor data within the preset time length when the pipeline is damaged. The deterioration rate of the sensor data within the preset time length is the change rate of the sensor data approaching the preset threshold within the preset time length when it is greater than nine-tenths of the preset threshold. For example, assuming that the preset threshold corresponding to the normal operating pressure range of a natural gas station pipeline is 4MPa (megapascals), during the monitoring process, the pressure sensor data gradually increases and reaches nine-tenths of the preset threshold, that is, 4MPa×0.9=3.6MPa. The timing starts from the moment when the pressure reaches 3.6MPa. Within the preset time length (30 seconds), if the pressure continues to change rapidly in the direction of approaching the preset threshold of 4MPa, for example, it is 3.6MPa at the beginning and reaches 3.9MPa after 30 seconds, then the pressure change within these 30 seconds is 3.9MPa-3.6MPa=0.3MPa. 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 such as whether the key monitoring area is in the blind spot of the fixed camera, the damage of the pipeline 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. Different early warning bases 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, we can appropriately focus on real-time analysis of sensor data; for areas in the blind spots, while ensuring sensor monitoring, we can consider adding mobile monitoring equipment or optimizing sensor layout to better cooperate with video monitoring and data deterioration judgment to achieve early warning, so that resources can be focused on where they are most needed, improve resource utilization efficiency, and at the same time achieve efficient early warning functions to ensure safe operation of station pipelines. This clear early warning judgment mechanism based on a combination of multiple conditions allows early warnings to be issued quickly once the corresponding conditions are met. Operators can receive signals that may have problems with the pipeline in the first place and quickly start corresponding troubleshooting, maintenance and other response processes, reducing the possibility of safety accidents due to untimely response, and improving the emergency response speed and processing capabilities of the entire natural gas station to potential risks. The above method improves the accuracy of the analysis of the safety monitoring process of the natural gas station to reduce the number of misjudgments and thus improve the efficiency of safety monitoring.

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

[0073] When the natural gas station pipeline that issues an early warning has abnormal data, determine to close the pipeline valve;

[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, and issuing a warning signal includes but is not limited to issuing a pipeline damage warning to the 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 judgment, according to the occurrence rate of pipeline damage events when the 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;

[0077] 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 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 to exclude the misjudgment area at the pipeline position where continuous misjudgments occur 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, and technicians in this field 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 value range of the adjustment coefficient is set to 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 occurrence rate of pipeline damage events when an early warning is issued within the second preset period, but the above value is not limited to this, and technicians in this field 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 the pipeline where continuous misjudgment occurs is subsequently judged.

[0083] The present invention determines whether to reduce the sensor calibration cycle based on the comparison between the occurrence rate of pipeline damage events when an early warning is issued within the second preset period and the preset occurrence rate, thereby realizing dynamic optimization of the sensor calibration work. If the occurrence rate is less than the preset occurrence rate, it means that the early warning effect of the current sensor is relatively good and the false alarm situation is less. Appropriately reducing the calibration cycle can further improve the accuracy of the sensor data, so that it can more sensitively capture subtle changes in the pipeline, better provide accurate data support for subsequent judgment of the pipeline safety status, 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 misjudged area in the subsequent judgment, 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 be abnormal but the actual pipeline is not damaged. After excluding it, when analyzing whether there is a problem with the pipeline in the future, the staff can focus on the area that is more valuable and more likely to have real hidden dangers, reduce unnecessary investigation and analysis work, and improve the efficiency of decision-making and judgment. The above method improves the accuracy of the analysis of the safety monitoring process of the natural gas station to reduce the number of misjudgments and thus improve the efficiency of safety monitoring.

[0084] See also Figure 3 As shown, Figure 3 It is a schematic diagram of the structure 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 of various sensors of 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, which is connected to the data acquisition module, is used to determine the key monitoring area according to 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; and determine whether to issue an early warning for the natural gas station pipeline according to the sensor data of the non-key monitoring area; and determine whether to issue an early warning for the natural gas station pipeline according to whether the key monitoring area is in a blind spot of a fixed camera, if the deterioration rate of the sensor data within a preset time period is greater than a preset deterioration rate, or if pipeline damage occurs in the real-time video;

[0088] An early warning module, which is connected to the data analysis module, is used to determine whether there is abnormal data in the natural gas station pipeline that issues the early warning, or to close the pipeline valve, or to 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 position where the continuous misjudgment occurs in subsequent judgments according to 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 being issued within the second preset period.

[0090] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand 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 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 environmental parameter data of pipelines; Determine the key monitoring area based on the failure maintenance frequency 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; Determine whether to issue an early warning for the natural gas station pipeline 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, it is determined that 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 is issued for the natural gas station pipeline; 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 warning; Based on the occurrence rate of pipeline damage events when an 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 being issued within the second preset period, determine 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 degree of corrosion is determined according to the pH and humidity of the environment in which the natural gas station pipeline is located, and 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.

2. The multi-dimensional safety monitoring method for a natural gas station according to claim 1 is characterized in that: The key monitoring areas include: If the failure 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 maintenance frequency of the natural gas station pipeline is less than or equal to the preset maintenance 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 according to the historical average value of the 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 the natural gas station pipeline also 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 occurs in the real-time video or the deterioration rate of sensor data within a preset time period is greater than the preset deterioration rate; 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.

6. The multi-dimensional safety monitoring method for a natural gas station according to claim 5 is characterized in that: The preset deterioration rate is determined according to the historical average deterioration rate of corresponding sensor data within a preset time period when the pipeline is damaged.

7. The multi-dimensional safety monitoring method for a natural gas station according to claim 6 is characterized in that: The determination to close the pipeline valve or to issue a warning signal comprises: If there is abnormal data in the natural gas station pipeline that issues the warning, make sure to close the pipeline valve; If 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.

8. The multi-dimensional safety monitoring method for a natural gas station according to claim 7 is 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 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, determine to reduce the sensor calibration period; If 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 a warning signal is issued within the second preset period, determine to exclude the misjudgment area at the pipeline position where continuous misjudgments occur in subsequent judgments.

9. The multi-dimensional safety monitoring method for a natural gas station according to claim 8, characterized in that: 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.

10. A system for the multi-dimensional safety monitoring method for a natural gas station according to any one of claims 1 to 9, 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 of various sensors of 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, which is connected to the data acquisition module, is used to determine the key monitoring area according to the failure maintenance frequency 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; and determine whether to issue an early warning for the natural gas station pipeline according to the sensor data of the non-key monitoring area; And according to whether the key monitoring area is in the blind spot of the fixed camera, it is determined that the deterioration rate of the sensor data within the preset time is greater than the preset deterioration rate, or if the pipeline is damaged in the real-time video, an early warning is issued for the natural gas station pipeline; An early warning module, which is connected to the data analysis module, is used to determine whether there is abnormal data in the natural gas station pipeline that issues the early warning, or to close the pipeline valve, or to 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 position where the continuous misjudgment occurs in subsequent judgments according to 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 being issued within the second preset period.

Images