Natural gas storage tank safety monitoring system based on multi-sensor feedback

Abstract

The application discloses a natural gas storage tank safety monitoring system based on multi-sensor feedback and belongs to the technical field of storage tank operation monitoring. The system comprises a monitoring platform, a monitoring point identification module, a parameter monitoring module, an operation performance analysis module, a verification and determination module, a risk trend evaluation module and an early warning module. The application is characterized in that multiple types of sensors work cooperatively to collect performance index parameters of the storage tank in real time, perform abnormality detection, preliminarily determine whether the operation state of the natural gas storage tank meets safety requirements, fuse and verify and determine whether a leakage fault occurs in combination with the monitoring sequence of each parameter when it is determined that the safety requirements are not met, improve the accuracy of leakage determination, acquire a leakage source based on time series and spatiotemporal correlation analysis of gas concentration and temperature when it is determined that a leakage fault occurs, and effectively perform real-time evaluation of the overall state of the storage tank and accurate positioning of a danger by adopting cross verification of multi-source sensing data and a layer-by-layer progressive analysis mode.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of storage tank operation monitoring, more particularly to a natural gas storage tank safety monitoring system based on multi-sensor feedback. BACKGROUND

[0002] Liquefied natural gas storage tanks are professional products for storing liquefied petroleum gas. Since the liquefied petroleum gas stored therein has the dangerous properties of being flammable and explosive, the monitoring and early warning of liquefied natural gas storage tanks are important links in the safe production of natural gas.

[0003] At present, the monitoring method of natural gas storage tanks mainly relies on one type of sensor or a single technical means to monitor the safety state of the storage tank, such as temperature monitoring, pressure monitoring, and gas leakage alarm monitoring. If only a pressure sensor is used, although the pressure change can be monitored, it may not be able to detect a leak in time, especially a small leak, because the pressure change may not be obvious until the problem becomes serious.

[0004] On the one hand, a single monitoring method cannot achieve cross-validation of multiple data, and there are problems of false alarms or untimely warnings. On the other hand, it cannot accurately locate the dangerous state, and there are disadvantages in safety monitoring. In addition, it cannot predict the risk trend of the natural gas storage tank in combination with the surrounding environment, which is not conducive to reducing the environmental risk of the use of natural gas storage tanks.

[0005] Therefore, in view of the actual problems in the prior art, the present application provides a natural gas storage tank safety monitoring system based on multi-sensor feedback. SUMMARY

[0006] The present application aims to solve the existing actual problems and provide a natural gas storage tank safety monitoring system based on multi-sensor feedback compared with the prior art.

[0007] The purpose of the present application can be achieved by the following technical solution: a natural gas storage tank safety monitoring system based on multi-sensor feedback, comprising a monitoring platform, a monitoring point identification module, a parameter monitoring module, an operation performance analysis module, a verification and determination module, a risk trend evaluation module, and an early warning module.

[0008] The monitoring point identification module is used to densely distribute monitoring points in the key monitoring area of the natural gas storage tank and mark the sensing points.

[0009] The parameter monitoring module is used to obtain performance index parameters of the natural gas storage tank in the running state through sensors arranged at the sensing monitoring points. The performance index parameters include point temperature, point pressure, point liquid level, and point gas concentration. The performance index parameters are sent to the operation performance analysis module.

[0010] The operation performance analysis module comprehensively analyzes the operation state of the natural gas storage tank according to the performance index parameters to determine whether the current operation state meets the safety requirements. If the safety requirements are not met, the monitoring sequence of each item in the performance index parameters is obtained in the monitoring period, and the monitoring sequence of each item is sent to the verification and determination module.

[0011] The verification and determination module analyzes the monitoring sequence to generate a response signal, determines whether a leakage fault occurs in the natural gas storage tank through the fusion of multiple response signals, determines the leakage source after generating a leakage alarm signal, sends the leakage alarm signal to the early warning module, and sends the leakage source to the risk trend assessment module. The risk trend assessment module obtains the leakage source position, the leakage rate and the environmental meteorological parameters, predicts and analyzes the risk trend of the natural gas storage tank, divides the dynamic risk level and sends it to the early warning module.

[0012] Further, the process of comprehensively analyzing the operation state of the natural gas storage tank includes:

[0013] The operation performance analysis module receives the performance index parameters, calls the preset temperature standard range, the preset pressure standard range, the preset liquid level standard range and the preset gas leakage maximum limit value of the corresponding sensing point through the monitoring platform. When the point temperature, the point pressure and the point liquid level are within the preset temperature standard range, the preset pressure standard range and the preset liquid level standard range, and the point gas concentration is less than the preset gas leakage maximum limit value, it is determined that the current natural gas storage tank operation state meets the safety requirements, otherwise, it is determined that the safety requirements are not met.

[0014] Further, the process of obtaining the monitoring sequence includes: obtaining a single pressure monitoring sequence and a liquid level monitoring sequence for a single monitoring point for the point pressure and the point liquid level, respectively, and obtaining multiple temperature monitoring sequences and gas concentration monitoring sequences for multiple monitoring points for the point temperature and the point gas concentration, respectively.

[0015] Further, the process of analyzing the monitoring sequence of each item by the verification and determination module includes:

[0016] For the pressure monitoring sequence, the preset pressure standard range is compared to generate a stable pressure signal, a low pressure abnormal signal or a high pressure abnormal signal; for the liquid level monitoring sequence, the preset liquid level standard range is compared to generate a liquid level stable signal or a liquid level abnormal drop signal;

[0017] For the temperature monitoring sequence, the preset temperature standard range is compared to generate a temperature stable signal or a high temperature abnormal signal; for the gas concentration monitoring sequence, the preset gas concentration standard range is compared to generate a no leakage safety signal or an abnormal leakage signal; the above signals are collectively referred to as response signals.

[0018] Further, the process of determining whether the natural gas storage tank has a leakage failure includes:

[0019] When the abnormal leakage signal, the low pressure abnormal signal, the liquid level abnormal drop signal and the high temperature abnormal signal are generated simultaneously, it is determined that the natural gas storage tank has a leakage failure during operation, and a leakage alarm signal is generated.

[0020] Further, when it is determined that the natural gas storage tank has a leakage failure during operation, the sensing point corresponding to the high temperature abnormal signal is obtained and marked as a temperature anomaly point, and the sensing point corresponding to the abnormal leakage signal is obtained and marked as a suspected leakage point.

[0021] The abnormal leakage start time of each suspected leakage point is obtained, which represents the collection time when the gas concentration of the suspected leakage point is greater than the maximum value of the preset gas concentration standard range, the abnormal temperature rise start time of each temperature anomaly point is obtained, which represents the collection time when the temperature of the temperature anomaly point is greater than the maximum value of the preset temperature standard range, and the range surrounded by the suspected leakage point with the earliest abnormal leakage start time and the temperature anomaly point with the earliest abnormal temperature rise start time is marked as a leakage source.

[0022] Further, the process of predicting and analyzing the leakage risk trend of the natural gas storage tank includes:

[0023] The leakage source position, the leakage rate and the environmental meteorological parameters are obtained, the environmental meteorological parameters include the wind speed, the wind direction and the atmospheric stability, the gas cloud diffusion path is simulated based on the wind direction and the wind speed, the dynamic risk range starting from the leakage source position is demarcated, the atmospheric diffusion model is input based on the wind speed, the leakage rate and the atmospheric stability, the gas concentration distribution of the dynamic risk range is obtained, the dynamic risk range expansion speed is obtained based on the analysis of the gas concentration gradient, and the risk level is divided according to the size of the dynamic risk range, the gas concentration of the dynamic risk range and the dynamic risk range expansion speed.

[0024] Further, the process of dividing the dynamic risk level includes: when the gas concentration of the dynamic risk range is lower than the preset fuel explosion threshold and the dynamic risk range expansion speed is greater than the preset limit diffusion speed, a low risk level is divided; when the gas concentration of the dynamic risk range is lower than the preset fuel explosion threshold and the dynamic risk range expansion speed is less than the preset limit diffusion speed, a low risk level is divided; and when the gas concentration of the dynamic risk range is equal to or greater than the preset fuel explosion threshold and the dynamic risk range expansion speed is less than the preset limit diffusion speed, a high risk level is divided.

[0025] Compared with the prior art, the advantages of the present application are:

[0026] The scheme is to realize real-time collection of performance index parameters of the storage tank through cooperative feedback of multiple types of sensors, perform abnormality detection according to the performance index parameters, preliminarily determine whether the running state of the natural gas storage tank meets the safety requirement, when the determination does not meet the requirement, perform fusion verification and determination on whether a leakage fault occurs to the natural gas storage tank in combination with the monitoring sequence of each parameter, improve the accuracy of leakage determination, when it is determined that a leakage fault occurs, based on time sequence, obtain a leakage source through spatio-temporal correlation analysis of gas concentration and temperature, and effectively perform real-time evaluation and dangerous accurate positioning on the overall state of the storage tank through cross verification of multiple source sensing data and a layer-by-layer progressive analysis mode.

[0027] Based on the above content, after the leakage source is obtained, a dynamic risk range with the leakage source position as a starting point is demarcated in combination with environmental meteorological parameters (wind speed and wind direction), and the leakage risk trend of the natural gas storage tank is analyzed and predicted based on an atmospheric diffusion model to divide a dynamic risk level and provide data support for emergency decision-making. BRIEF DESCRIPTION OF DRAWINGS

[0028] Figure 1 The figure is a system principle block diagram of the present application;

[0029] Figure 2 The figure is a method flowchart of the first embodiment of the present application;

[0030] Figure 3 The figure is a method flowchart of the second embodiment of the present application. DETAILED DESCRIPTION

[0031] The technical solutions in the embodiments of the present application will be clearly and completely described in combination with the drawings of the embodiments of the present application; obviously, the described embodiments are only part of the embodiments of the present application, but not all the embodiments; based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative labor fall within the protection scope of the present application.

[0032] Embodiment one: the present application discloses a natural gas storage tank safety monitoring system based on multi-sensor feedback, please refer to Figure 1 、 Figure 2 , which comprises a monitoring platform, a monitoring point identification module, a parameter monitoring module, a running performance analysis module, a verification and determination module, a risk trend evaluation module and a warning module.

[0033] The monitoring point identification module is used for densely distributing points in key monitoring areas of the natural gas storage tank, marking sensing points, covering key positions of the storage tank by each sensing point, and labeling multiple sensing points.

[0034] The parameter monitoring module is configured to acquire performance index parameters of the natural gas storage tank in a running state through sensors arranged at the sensing monitoring points, and the performance index parameters include point temperature, point pressure, point liquid level, and point gas concentration. The performance index parameters are sent to the running performance analysis module.

[0035] The running performance analysis module comprehensively analyzes the running state of the natural gas storage tank according to the performance index parameters to determine whether the current running state meets the safety requirements. The specific analysis and determination process includes:

[0036] The running performance analysis module receives the performance index parameters, and calls the preset temperature standard range, the preset pressure standard range, the preset liquid level standard range, and the preset maximum gas leakage limit value of the corresponding sensing monitoring points through the monitoring platform.

[0037] When the point temperature, the point pressure, and the point liquid level are all within the preset temperature standard range, the preset pressure standard range, and the preset liquid level standard range, and the point gas concentration is less than the preset maximum gas leakage limit value, it is determined that the current running state of the natural gas storage tank meets the safety requirements, and the running monitoring is continued. Otherwise, it is determined that the current running state of the natural gas storage tank does not meet the safety requirements. Through the cooperative work of multiple types of sensors, the performance index parameters of the storage tank are collected in real time, abnormal detection is performed according to the performance index parameters, and a preliminary determination is made on whether the running state of the natural gas storage tank meets the safety requirements.

[0038] When it is determined that the safety requirements are not met, the monitoring sequences of each item in the performance index parameters are acquired within the monitoring period, and the monitoring sequences of each item are sent to the verification determination module.

[0039] The acquisition process of the monitoring sequences includes: a single pressure monitoring sequence and a liquid level monitoring sequence are acquired for the point pressure and the point liquid level, respectively; and multiple temperature monitoring sequences and gas concentration monitoring sequences are acquired for the point temperature and the point gas concentration, respectively.

[0040] The verification determination module analyzes the monitoring sequences of each item to generate response signals, determines whether a leakage fault occurs in the running process of the natural gas storage tank through the fusion verification of multiple response signals, and determines the leakage source after generating a leakage alarm signal.

[0041] The acquisition process of the response signals includes:

[0042] For the pressure monitoring sequence, the preset pressure standard range is compared. When the point pressure in the pressure monitoring sequence is within the preset pressure standard range, a stable pressure signal is generated. When the point pressure in the pressure monitoring sequence continuously falls below the minimum value of the preset pressure standard range, a low-pressure abnormal signal is generated. When the point pressure in the pressure monitoring sequence continuously rises above the maximum value of the preset pressure standard range, a high-pressure abnormal signal is generated.

[0043] For the liquid level monitoring sequence, compare the preset liquid level standard range, when the liquid level of the measuring point in the liquid level monitoring sequence is within the preset liquid level standard range, generate a liquid level stable signal, when the liquid level of the measuring point in the liquid level monitoring sequence continuously falls below the minimum value of the preset liquid level standard range, generate a liquid level abnormally low signal;

[0044] For the temperature monitoring sequence, compare the preset temperature standard range, when the temperature of the measuring point in the temperature monitoring sequence is within the preset temperature standard range, generate temperature stable information, when the temperature of the measuring point in the temperature monitoring sequence continuously exceeds the maximum value of the preset temperature standard range, generate a high temperature abnormal signal;

[0045] For the gas concentration monitoring sequence, compare the preset gas concentration standard range, when the gas concentration of the measuring point in the gas concentration monitoring sequence is within the preset gas concentration standard range, generate a no-leakage safety signal, when the gas concentration of the measuring point in the gas concentration monitoring sequence is greater than the maximum value of the preset gas concentration standard range, generate an abnormal leakage signal;

[0046] Among them, the stable voltage signal, the low voltage abnormal signal, the high voltage abnormal signal, the liquid level stable signal, the liquid level abnormally low signal, the temperature stable information, the high temperature abnormal signal, the no-leakage safety signal, and the abnormal leakage signal are collectively referred to as response signals;

[0047] Temperature and gas concentration usually need to be monitored at multiple locations because there may be gradients or local changes, while pressure and liquid level may only need to be monitored at a single point because they are usually uniformly distributed throughout the storage tank, however, this may depend on the specific storage tank design and medium characteristics, the embodiment will monitor temperature and gas concentration at multiple points, both to resist local interference (such as a sensor failure at a certain location not affecting the overall judgment) and to improve abnormal positioning capability (such as determining the location of a leak through temperature gradient).

[0048] The process of determining whether a leakage fault occurs in the natural gas storage tank during operation through the fusion verification of multiple response signals includes:

[0049] When the abnormal leakage signal and the low voltage abnormal signal are generated at the same time, and accompanied by the generation of the liquid level abnormally low signal or the high temperature abnormal signal, it is determined that a leakage fault occurs in the natural gas storage tank during operation, and a leakage alarm signal is generated;

[0050] When the no-leakage safety signal is generated and accompanied by the generation of other signals, it is determined that no leakage failure occurs in the natural gas storage tank during operation, for example, when the no-leakage safety signal is generated and accompanied by the generation of a high-pressure abnormal signal or a high-temperature abnormal signal, the generation of the abnormal signal is caused by environmental temperature interference, an environmental temperature interference signal is generated, when the no-leakage safety signal is generated and accompanied by a low-pressure abnormal signal or a liquid level abnormal drop signal, the generation of the abnormal signal is caused by equipment failure, an equipment failure influence signal is generated, and the leakage alarm signal, the environmental temperature interference signal and the equipment failure influence signal are sent to the early warning module to take different maintenance measures according to different signals.

[0051] When it is determined that a leakage failure occurs in the natural gas storage tank during operation, the sensing point corresponding to the high-temperature abnormal signal is obtained and marked as a temperature abnormal point, and the sensing point corresponding to the abnormal leakage signal is obtained and marked as a suspected leakage point.

[0052] The abnormal leakage start time of each suspected leakage point is obtained, which represents the collection time when the gas concentration of the suspected leakage point is greater than the maximum value of the preset gas concentration standard range, and the abnormal temperature rise start time of each temperature abnormal point is obtained, which represents the collection time when the temperature of the temperature abnormal point is greater than the maximum value of the preset temperature standard range.

[0053] The range surrounded by the suspected leakage point with the earliest abnormal leakage start time and the temperature abnormal point with the earliest abnormal temperature rise start time is marked as a leakage source, based on time series and spatiotemporal correlation analysis of gas concentration and temperature, the point that triggers the abnormality earliest is most likely to be close to the leakage source, and the leakage source is sent to the risk trend assessment module.

[0054] When it is determined that the operating state of the natural gas storage tank does not meet the safety requirements, the fusion verification and determination of whether a leakage failure occurs in the natural gas storage tank are performed in combination with the monitoring sequence of each parameter, the leakage determination accuracy is improved, when it is determined that a leakage failure occurs, data analysis is performed, the leakage source is obtained based on time series and spatiotemporal correlation analysis of gas concentration and temperature, cross verification of multi-source sensing data and layer-by-layer progressive analysis mode are adopted, and the overall state of the storage tank is effectively evaluated in real time and the danger is accurately positioned in time.

[0055] Embodiment two: please refer to Figure 2 , Figure 3 The risk trend assessment module obtains the leakage source position and the leakage rate, obtains the environmental meteorological parameters of the leakage source, and performs prediction analysis on the risk trend of the natural gas storage tank, and the specific prediction analysis process includes:

[0056] The leakage source position and the leakage rate and the environmental meteorological parameters are obtained, and the environmental meteorological parameters include wind speed, wind direction and atmospheric stability. The size of the wind speed affects the speed and dilution degree of gas diffusion, and the wind direction determines the main diffusion direction of the gas.

[0057] Simulate the gas cloud diffusion path based on the current wind direction and wind speed, and delineate the dynamic risk range with the leakage source position as the starting point, input the wind speed, leakage rate and atmospheric stability into the atmospheric diffusion model, such as the steady-state Gaussian model, describe the diffusion process of pollutants in the atmosphere through mathematical formula, and obtain the spatial concentration distribution as the basic output, obtain the gas concentration distribution of the dynamic risk range, and obtain the expansion speed of the dynamic risk range based on the analysis of the gas concentration gradient, and divide the risk level according to the size of the dynamic risk range, the gas concentration of the dynamic risk range and the expansion speed of the dynamic risk range;

[0058] The dynamic risk level division process includes:

[0059] When the gas concentration of the dynamic risk range is lower than the preset explosion threshold and the expansion speed of the dynamic risk range is greater than the preset limit diffusion speed, a low risk level is divided, unstable weather (such as strong wind) accelerates diffusion, and the gas may be quickly taken away, the concentration is reduced faster, and the risk range is reduced;

[0060] When the gas concentration of the dynamic risk range is lower than the preset explosion threshold and the expansion speed of the dynamic risk range is less than the preset limit diffusion speed, a medium risk level is divided;

[0061] When the gas concentration of the dynamic risk range is equal to or greater than the preset explosion threshold and the expansion speed of the dynamic risk range is less than the preset limit diffusion speed, a high risk level is divided, stable weather (such as no wind) causes gas retention, concentration accumulation, and increases the risk coefficient;

[0062] The low risk level, the medium risk level and the high risk level are sent to the early warning module, the early warning module adopts different emergency decision measures according to different risk levels, and combines the dynamic prediction of the meteorological sensitive leakage risk to provide data support for emergency decision.

[0063] In the present application, a plurality of parameter thresholds, preset values are involved, it should be noted that the threshold or the preset value, the preset range and the like are set for result comparison and analysis, so as to determine good and bad, and the size of the same is set by combining large model analysis of sample data and artificial experience, and is also stored by recording, and can be appropriately adjusted by seasonal or reasonable influence conditions.

[0064] In summary, through the cooperative work of multiple types of sensors, the performance index parameters of the storage tank are collected in real time, abnormal detection is performed according to the performance index parameters, a preliminary determination is made on whether the operation state of the natural gas storage tank meets the safety requirements, when it is determined that the safety requirements are not met, fusion verification and determination are performed on whether a leakage fault occurs in the natural gas storage tank in combination with the monitoring sequence of each parameter, the accuracy of leakage determination is improved, when it is determined that a leakage fault occurs, based on time series, the spatio-temporal correlation analysis of gas concentration and temperature is performed to obtain a leakage source, cross verification of multi-source sensing data and a layer-by-layer progressive analysis mode are used to effectively evaluate the overall state of the storage tank in real time and accurately locate the danger;

[0065] After the leakage source is obtained, the dynamic risk range starting from the leakage source position is demarcated based on the leakage source information and environmental meteorological parameters, and the leakage risk trend of the natural gas storage tank is analyzed and predicted based on an atmospheric diffusion model to divide the dynamic risk level and provide data support for emergency decision-making.

[0066] The above is only a preferred specific embodiment of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can make equivalent replacement or change according to the technical solution and the improvement concept of the present application within the technical range disclosed by the present application, which should be covered in the protection scope of the present application.

Claims

1. A natural gas storage tank safety monitoring system based on multi-sensor feedback, characterized by: The monitoring platform, the monitoring point identification module, the parameter monitoring module, the operation performance analysis module, the verification determination module, the risk trend evaluation module and the early warning module are comprised; The monitoring point identification module is used for densely distributing monitoring points in the key monitoring area of the natural gas storage tank and marking the sensing points; The parameter monitoring module is used for acquiring the performance index parameters of the natural gas storage tank in the running state through the sensors arranged on the sensing monitoring points, and the specific items of the performance index parameters include the point temperature, the point pressure, the point liquid level and the point gas concentration, and the performance index parameters are sent to the operation performance analysis module; The operation performance analysis module comprehensively analyzes the running state of the natural gas storage tank according to the performance index parameters to determine whether the current running state meets the safety requirements, and if not, acquires the monitoring sequence of each item in the performance index parameters within the monitoring period, and sends the monitoring sequence of each item to the verification determination module; The verification determination module analyzes the monitoring sequence to generate a response signal, determines whether the natural gas storage tank has a leakage fault through the fusion of multiple response signals, determines the leakage source after generating a leakage alarm signal, sends the leakage alarm signal to the early warning module, and sends the leakage source to the risk trend evaluation module; The acquisition process of the monitoring sequence includes: acquiring a single pressure monitoring sequence and a liquid level monitoring sequence of a single monitoring point for the point pressure and the point liquid level respectively, and acquiring multiple temperature monitoring sequences and gas concentration monitoring sequences of multiple monitoring points for the point temperature and the point gas concentration respectively; The process of analyzing the monitoring sequence of each item by the verification determination module includes: For the pressure monitoring sequence, the preset pressure standard range is compared to generate a stable pressure signal, a low pressure abnormal signal or a high pressure abnormal signal respectively; for the liquid level monitoring sequence, the preset liquid level standard range is compared to generate a liquid level stable signal or a liquid level abnormal drop signal respectively; For the temperature monitoring sequence, the preset temperature standard range is compared to generate a temperature stable signal or a high temperature abnormal signal respectively; for the gas concentration monitoring sequence, the preset gas concentration standard range is compared to generate a no leakage safety signal or an abnormal leakage signal respectively; the above signals are collectively referred to as response signals; The process of determining whether the natural gas storage tank has a leakage fault includes: When the abnormal leakage signal and the low pressure abnormal signal are generated at the same time, and the liquid level abnormal drop signal or the high temperature abnormal signal is generated at the same time, it is determined that the natural gas storage tank has a leakage fault in the running process, and a leakage alarm signal is generated; when the no leakage safety signal is generated, and other signals are generated at the same time, it is determined that the natural gas storage tank does not have a leakage fault in the running process; When it is determined that the natural gas storage tank has a leakage fault in the running process, the sensing point corresponding to the high temperature abnormal signal is marked as an abnormal temperature point, and the sensing point corresponding to the abnormal leakage signal is marked as a suspected leakage point; An abnormal leakage starting time of each suspected leakage point is obtained, the abnormal leakage starting time representing a collection time when a gas concentration of a measurement point of the suspected leakage point is greater than a maximum value of a preset gas concentration standard range, an abnormal temperature rise starting time of each temperature anomaly point is obtained, the abnormal temperature rise starting time representing a collection time when a temperature of a measurement point of the temperature anomaly point is greater than a maximum value of a preset temperature standard range, and a range surrounded by the suspected leakage point with the earliest abnormal leakage starting time and the temperature anomaly point with the earliest abnormal temperature rise starting time is marked as a leakage source. A risk trend assessment module obtains a leakage source position, a leakage rate, and environmental meteorological parameters, predicts and analyzes a risk trend of the natural gas storage tank, and sends a dynamic risk level to a warning module.

2. The multi-sensor feedback based safety monitoring system for natural gas storage tank as claimed in claim 1, wherein: The process of comprehensively analyzing the operating state of the natural gas storage tank includes: An operating performance analysis module receives performance index parameters, calls a preset temperature standard range, a preset pressure standard range, a preset liquid level standard range, and a preset maximum gas leakage limit value of a corresponding sensing measurement point through a monitoring platform, and determines that a current operating state of the natural gas storage tank meets safety requirements when the temperature, pressure, and liquid level of the measurement point are within the preset temperature standard range, the preset pressure standard range, and the preset liquid level standard range, and the gas concentration of the measurement point is less than the preset maximum gas leakage limit value, and otherwise, determines that the safety requirements are not met.

3. The multi-sensor feedback based safety monitoring system for natural gas storage tank as claimed in claim 1, wherein: The process of predicting and analyzing the leakage risk trend of the natural gas storage tank includes: The leakage source position and the leakage rate, and environmental meteorological parameters including wind speed, wind direction, and atmospheric stability are obtained, a gas cloud diffusion path is simulated based on the wind direction and the wind speed, a dynamic risk range with the leakage source position as a starting point is demarcated, the wind speed, the leakage rate, and the atmospheric stability are input into an atmospheric diffusion model to obtain a gas concentration distribution of the dynamic risk range, and a dynamic risk range expansion speed is obtained based on an analysis of the gas concentration gradient, and a risk level is classified according to the size of the dynamic risk range, the gas concentration of the dynamic risk range, and the dynamic risk range expansion speed.

4. The multi-sensor feedback based safety monitoring system for natural gas storage tank as claimed in claim 3, wherein: The process of classifying the dynamic risk level includes: when the gas concentration of the dynamic risk range is lower than a preset fuel explosion threshold and the dynamic risk range expansion speed is greater than a preset limit diffusion speed, a low risk level is classified, when the gas concentration of the dynamic risk range is lower than the preset fuel explosion threshold and the dynamic risk range expansion speed is less than the preset limit diffusion speed, a low risk level is classified, and when the gas concentration of the dynamic risk range is equal to or greater than the preset fuel explosion threshold and the dynamic risk range expansion speed is less than the preset limit diffusion speed, a high risk level is classified.

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