Intelligent natural gas valve remote safety monitoring system

Abstract

The invention discloses an intelligent natural gas valve remote safety monitoring system, which relates to the technical field of remote monitoring and comprises a natural gas valve state detection module, a valve opening monitoring and processing unit, a valve closing monitoring and processing unit and a local database, according to the invention, by analyzing each failed natural gas valve belonging to a factory and the fault reason thereof, the problems of natural gas leakage and valve vibration when natural gas passes through can be quickly and remotely identified, so that the conveying efficiency and safety of the natural gas valve are improved; the safety of the natural gas valve is improved by timely identifying whether the safety valve of each closed natural gas valve of the factory goes wrong or not, and meanwhile, the downstream of each closed natural gas valve of the factory is monitored in real time, so that the situation that the valve sealing performance is reduced is reduced. And therefore, the functionality of the natural gas valve is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of remote monitoring, and in particular to an intelligent natural gas valve remote safety monitoring system. Background Art

[0002] With the advancement of science and technology and the development of industrial automation, the natural gas industry has higher and higher requirements for safety and efficiency. During the use of natural gas, the natural gas valve plays the role of whether natural gas is allowed to pass through. If the natural gas valve fails, it is easy to cause the harm of natural gas leakage, thereby reducing the safety of natural gas use. Therefore, it is necessary to carry out safety monitoring of natural gas valves.

[0003] Prior art, such as the invention patent application with announcement number: CN117132103A, discloses a method and computer equipment based on natural gas pipeline risk warning and data collection, the method comprising: obtaining natural gas pipeline data through timestamp; obtaining binary coded data corresponding to the natural gas delivery volume; judging whether the natural gas delivery volume is greater than or equal to a predetermined natural gas risk threshold, if so, calling the binary coded data, and vectorizing the binary coded data to obtain a risk warning vector; importing the risk warning vector and the natural gas delivery volume into a preset risk point positioning neural network; achieving real-time acquisition of natural gas pipeline data and accurate positioning when risk data is monitored.

[0004] The prior art, such as the invention patent application with announcement number: CN116862710A, discloses a smart gas management platform, and its method includes: a multi-dimensional intelligent inspection system including an intelligent inspection system, an unmanned aerial vehicle inspection, and an explosion-proof robot inspection; a remote equipment control system including remote valve control and ventilation facility remote control. The present invention utilizes the advantages of 5G technology to focus on solving problems such as low intelligence of gas, inconsistent intelligent construction standards, insufficient investment in underlying intelligent infrastructure, incomplete construction of shared databases, and lack of refined management.

[0005] It can be seen from the above scheme that the current intelligent remote safety monitoring system for natural gas valves lacks certain attention to the abnormal monitoring and analysis of natural gas valves in the open state. With the continuous use of natural gas valves, due to the aging of external reinforcement devices and valve damage, natural gas leakage and valve vibration when natural gas passes through are prone to occur, thereby reducing the transmission efficiency and safety of the natural gas valve. At the same time, there is a lack of attention to the upstream and downstream abnormal analysis of the natural gas valve in the closed state. After the natural gas valve is closed, the gas pressure in the pipeline upstream of the natural gas valve will suddenly increase and then slowly form a balanced state. However, sometimes the gas pressure in the upstream pipeline will be too high. At this time, the safety valve needs to be adjusted to prevent the danger caused by excessive gas pressure. If there is a problem with the safety valve, the safety of the natural gas valve will be reduced. In addition, during the continuous use of the natural gas valve, the sealing of the valve may be reduced, resulting in the downstream still receiving the natural gas transported from the upstream, thereby reducing the functionality of the natural gas valve. Summary of the invention

[0006] The purpose of the present invention is to provide an intelligent natural gas valve remote safety monitoring system, which solves the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an intelligent natural gas valve remote safety monitoring system, including: a natural gas valve status detection module, used to obtain the operating status of each natural gas valve belonging to the factory, and screen the open natural gas valves and closed natural gas valves belonging to the factory accordingly.

[0008] The valve opening monitoring and processing unit is used to screen the faulty natural gas valves in the factory, analyze the causes of the failures, and send them to the person in charge of natural gas management.

[0009] The natural gas valve opening monitoring and processing unit comprises: a valve opening data acquisition module, a valve opening analysis module, and a valve abnormality processing unit.

[0010] The valve opening data acquisition module is used to obtain the operation image, operation decibel and external natural gas concentration of each opened natural gas valve belonging to the factory at each opening monitoring time point within the opening monitoring time period.

[0011] The valve opening analysis module is used to analyze the operating failure coefficient of each opened natural gas valve belonging to the factory, evaluate the gas leakage coefficient of each opened natural gas valve belonging to the factory, and analyze each opened faulty natural gas valve belonging to the factory and its failure cause.

[0012] The valve abnormality processing unit is used to send each open faulty natural gas valve belonging to the factory and the cause of the fault to the person in charge of natural gas management.

[0013] The valve closing monitoring and processing unit is used to screen the abnormal natural gas valves of each safety valve and each seal abnormal natural gas valve belonging to the factory, and send them to the person in charge of natural gas management.

[0014] The valve closing monitoring and processing unit includes: a valve upstream safety analysis module, a valve sealing analysis module, and a valve closing abnormality processing module.

[0015] The valve upstream safety analysis module is used to obtain the internal gas pressure value upstream of each closed natural gas valve belonging to the factory at each closing monitoring time point after each closed natural gas valve belonging to the factory is completely closed, and to determine whether there is an abnormal safety valve upstream of each closed natural gas valve belonging to the factory, thereby screening the natural gas valves with abnormal safety valves belonging to the factory.

[0016] The valve sealing analysis module is used to obtain the internal natural gas concentration value and internal gas pressure value of the downstream of each closed natural gas valve belonging to the factory at each closed monitoring time point, and screen the natural gas valves with abnormal sealing in the factory.

[0017] The valve closing abnormality processing module is used to send the abnormal natural gas valves of each safety valve and each sealing abnormal natural gas valve belonging to the factory to the person in charge of natural gas management.

[0018] The beneficial effects of the present invention are as follows: (1) The natural gas valve status detection module of the present invention performs preliminary screening of the natural gas valves belonging to the factory by monitoring the status of the natural gas valves, thereby facilitating subsequent analysis.

[0019] (2) The valve opening monitoring and processing unit of the present invention analyzes the faulty natural gas valves in the factory and their causes through operating images, operating decibels and external natural gas concentration values, and can quickly and remotely identify problems such as natural gas leakage and valve vibration when natural gas passes through, thereby improving the transportation efficiency and safety of the natural gas valves.

[0020] (3) The valve closing monitoring and processing unit of the present invention monitors the internal gas pressure value upstream of each closed natural gas valve of the factory, and promptly identifies whether there is a problem with the safety valve of each closed natural gas valve of the factory, thereby improving the safety of the natural gas valve. At the same time, it performs real-time monitoring on the downstream of each closed natural gas valve of the factory to determine whether there is a valve sealing abnormality in each closed natural gas valve of the factory, thereby reducing the occurrence rate of the problem that the downstream still receives the natural gas transported by the upstream due to reduced valve sealing, thereby improving the functionality of the natural gas valve. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 It is a schematic diagram of the system module of the present invention. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] Reference Figure 1 As shown, the present invention provides an intelligent natural gas valve remote safety monitoring system, including: a natural gas valve state detection module, a valve opening monitoring and processing unit, a valve closing monitoring and processing unit and a local database.

[0025] It should be noted that the natural gas valve status detection module is connected to the valve opening monitoring and processing unit, the natural gas valve status detection module is connected to the valve closing monitoring and processing unit, and the local database is connected to the valve opening monitoring and processing unit and the valve closing monitoring and processing unit.

[0026] It should also be noted that the local database is used to store the grayscale value of each pixel of the still image of each open natural gas valve belonging to the factory, the initial operating decibels of each open natural gas valve belonging to the factory, the appropriate natural gas concentration for opening the natural gas valve, the operating failure coefficient threshold, the gas leakage coefficient threshold, the first-level warning internal air pressure value, the second-level warning internal air pressure value, the air pressure threat coefficient threshold, the descending target air pressure value, the sealing abnormality coefficient threshold, the valve closing time point of each natural gas valve to be analyzed in the factory, and the appropriate target duration.

[0027] The natural gas valve status detection module is used to obtain the operating status of each natural gas valve belonging to the factory, and screen each open natural gas valve and each closed natural gas valve belonging to the factory accordingly.

[0028] In a specific embodiment, the operation status of each natural gas valve belonging to the factory is obtained by a specific method: the operation status of each natural gas valve belonging to the factory is obtained from the natural gas control terminal.

[0029] It should be noted that the operating state includes: an on state and a off state.

[0030] In a specific embodiment, the open natural gas valves and closed natural gas valves belonging to the factory are screened by a specific screening method: if the operating status of a natural gas valve belonging to the factory is open, the natural gas valve is marked as an open natural gas valve, otherwise, the natural gas valve is marked as a closed natural gas valve, thereby screening the open natural gas valves and closed natural gas valves belonging to the factory.

[0031] The natural gas valve status detection module of the present invention performs preliminary screening of the natural gas valves belonging to the factory by monitoring the status of the natural gas valves, thereby facilitating subsequent analysis.

[0032] The valve opening monitoring and processing unit is used to screen the natural gas valves with opening failures belonging to the factory, analyze the causes of the failures, and send them to the person in charge of natural gas management.

[0033] It should be noted that the causes of the failure include: insufficient device stability and gas leakage.

[0034] In a specific embodiment of the present invention, the natural gas valve opening monitoring and processing unit includes: a valve opening data acquisition module, a valve opening analysis module, and a valve abnormality processing unit.

[0035] The valve opening data acquisition module is used to obtain the operation image, operation decibel and external natural gas concentration of each opened natural gas valve belonging to the factory at each opening monitoring time point within the opening monitoring time period.

[0036] In a specific embodiment, the operation image, operation decibel and external natural gas concentration of each opened natural gas valve belonging to the factory at each opening monitoring time point are obtained by a specific acquisition method: the operation image of each opened natural gas valve belonging to the factory at each opening monitoring time point is obtained by a high-definition high-speed camera, the operation decibel of each opened natural gas valve belonging to the factory at each opening monitoring time point is obtained by a decibel sensor installed on the outside of the natural gas valve, and the external natural gas concentration of each opened natural gas valve belonging to the factory at each opening monitoring time point is obtained by a natural gas concentration sensor installed on the outside of the natural gas valve.

[0037] The valve opening analysis module is used to analyze the operating failure coefficient of each opened natural gas valve belonging to the factory, evaluate the gas leakage coefficient of each opened natural gas valve belonging to the factory, and analyze each opened faulty natural gas valve belonging to the factory and its failure cause.

[0038] The valve abnormality processing unit is used to send each open faulty natural gas valve belonging to the factory and the cause of the fault to the person in charge of natural gas management.

[0039] In a specific embodiment of the present invention, the operation failure coefficient of each open natural gas valve belonging to the factory is analyzed, and the specific analysis method is: according to the operation image of each open natural gas valve belonging to the factory at each open monitoring time point, and through the grayscale change, the grayscale value a of each pixel point of the operation image of each open natural gas valve belonging to the factory at each open monitoring time point is obtained. xni , where x represents each open natural gas valve, x = 1, 2, ..., y, y is a positive integer greater than 2, n represents the number of each open monitoring time point, n = 1, 2, ..., m, m is a positive integer greater than 2, i represents the number of each pixel point, i = 1, 2, ..., j, j is a positive integer greater than 2, and the gray value b of each pixel point of the still image of each open natural gas valve belonging to the factory is obtained from the local database xi , calculate the operational jitter threat coefficient of each open natural gas valve in the factory Where e represents a natural constant.

[0040] Get the initial operating decibels c of each opened natural gas valve in the factory from the local database x , based on the operating decibels of each open natural gas valve in the factory at each open monitoring time point xn , calculate the noise hazard coefficient of each natural gas valve in the factory

[0041] Analyze the operating failure coefficient ε of each open natural gas valve in the factory x =β x +δ x .

[0042] It should be noted that both the still image and the running image are captured by a camera with the same focal length and pixel, so the pixels of the still image and the running image correspond one to one.

[0043] In a specific embodiment of the present invention, the gas leakage coefficient of each open natural gas valve of the factory is evaluated, and the specific evaluation method is: obtaining the appropriate natural gas concentration A for opening the natural gas valve from the local database, evaluating the external natural gas concentration f of each open natural gas valve of the factory at each opening monitoring time point xn , calculate the gas leakage coefficient of each open natural gas valve in the factory at each open monitoring time point Calculate the gas leakage coefficient of each open natural gas valve in the factory

[0044] In a specific embodiment of the present invention, the open faulty natural gas valves belonging to the factory and their fault causes are analyzed by a specific analysis method: an operation fault coefficient threshold is obtained from a local database. If the operation fault coefficient of an open natural gas valve belonging to the factory is greater than the operation fault coefficient threshold, the open natural gas valve is marked as an open faulty natural gas valve, and its fault cause is recorded as insufficient device stability.

[0045] A gas leakage coefficient threshold is obtained from the local database. If the gas leakage coefficient of an open natural gas valve belonging to the factory is greater than the gas leakage coefficient threshold, the open natural gas valve is marked as an open faulty natural gas valve, and the cause of its failure is recorded as gas leakage.

[0046] Summarize the factory's open faulty natural gas valves and their failure causes.

[0047] The valve opening monitoring and processing unit of the present invention analyzes each open faulty natural gas valve belonging to the factory and its fault cause through operating images, operating decibels and external natural gas concentration values, and can quickly and remotely identify problems such as natural gas leakage and valve vibration when natural gas passes through, thereby improving the transportation efficiency and safety of the natural gas valve.

[0048] The valve closing monitoring and processing unit is used to screen the abnormal natural gas valves of each safety valve and each sealing abnormal natural gas valve belonging to the factory, and send them to the person in charge of natural gas management.

[0049] In a specific embodiment of the present invention, the valve closing monitoring and processing unit includes: a valve upstream safety analysis module, a valve sealing analysis module, and a valve closing abnormality processing module.

[0050] The valve upstream safety analysis module is used to obtain the internal gas pressure value upstream of each closed natural gas valve belonging to the factory at each closing monitoring time point after each closed natural gas valve belonging to the factory is completely closed, and to determine whether there is an abnormal safety valve upstream of each closed natural gas valve belonging to the factory, thereby screening the natural gas valves with abnormal safety valves belonging to the factory.

[0051] It should be noted that the upstream is the pipeline in the direction of natural gas intake.

[0052] In a specific embodiment, the internal air pressure value upstream of each closed natural gas valve belonging to the factory at each closed monitoring time point is obtained by a specific acquisition method: the internal air pressure value upstream of each closed natural gas valve belonging to the factory at each closed monitoring time point is obtained through an air pressure sensor built into the upstream of the natural gas valve.

[0053] In a specific embodiment, the screening of abnormal safety valves belonging to the factory's natural gas valves is carried out by a specific screening method: if a safety valve abnormality occurs upstream of a closed natural gas valve belonging to the factory, the closed natural gas valve is marked as a natural gas valve with an abnormal safety valve, thereby screening the abnormal safety valves belonging to the factory's natural gas valves.

[0054] The valve sealing analysis module is used to obtain the internal natural gas concentration value and internal gas pressure value of the downstream of each closed natural gas valve belonging to the factory at each closed monitoring time point, and screen the natural gas valves with abnormal sealing in the factory.

[0055] It should be noted that the downstream is the pipeline in the direction of natural gas outlet.

[0056] In a specific embodiment, the internal natural gas concentration value and the internal air pressure value of each closed natural gas valve belonging to the factory at each closed monitoring time point are obtained by a specific acquisition method: the internal air pressure value of each closed natural gas valve belonging to the factory at each closed monitoring time point is obtained through an air pressure sensor built into the downstream of the natural gas valve, and the internal natural gas concentration value of each closed natural gas valve belonging to the factory at each closed monitoring time point is obtained through a natural gas concentration sensor built into the downstream of the natural gas valve.

[0057] The valve closing abnormality processing module is used to send the abnormal natural gas valves of each safety valve and each sealing abnormal natural gas valve belonging to the factory to the person in charge of natural gas management.

[0058] In a specific embodiment of the present invention, the specific method for judging whether a safety valve abnormality occurs upstream of each closed natural gas valve belonging to the factory is: obtaining a first-level warning internal air pressure value and a second-level warning internal air pressure value from a local database.

[0059] If the internal pressure value of the upstream of a closed natural gas valve belonging to the factory at a certain closed monitoring time point is greater than the first-level warning internal pressure value, the closed monitoring time point is marked as the safety valve activation time point, thereby screening the safety valve activation time points upstream of each closed natural gas valve belonging to the factory, and counting the number of safety valve activation time points upstream of each closed natural gas valve belonging to the factory. p , where p represents the number of each closed natural gas valve, p=1,2,...,q, and q is a positive integer greater than 2.

[0060] If the internal air pressure value of the upstream of a closed natural gas valve belonging to the factory at a closed monitoring time point is greater than the second-level warning internal air pressure value, the closed monitoring time point is marked as the air pressure threat time point, thereby screening the air pressure threat time points upstream of each closed natural gas valve belonging to the factory, and counting the number of air pressure threat time points upstream of each closed natural gas valve belonging to the factory h p .

[0061] Calculate the gas pressure threat factor upstream of each closed natural gas valve in the factory

[0062] The gas pressure threat coefficient threshold is obtained from the local database. If the gas pressure threat coefficient upstream of a closed natural gas valve belonging to the factory is greater than the gas pressure threat coefficient threshold, it is determined that a safety valve abnormality occurs upstream of the closed natural gas valve belonging to the factory.

[0063] It should be noted that the first-level warning internal air pressure value is lower than the second-level warning internal air pressure value, and the first-level warning internal air pressure value is the air pressure threshold for triggering the safety valve.

[0064] In a specific embodiment of the present invention, the specific screening method for screening the sealing abnormalities of the natural gas valves belonging to the factory is as follows: a target pressure drop value is obtained from a local database; if the internal pressure values ​​downstream of a closed natural gas valve belonging to the factory at each closing monitoring time point are greater than the target pressure drop value, the closed natural gas valve is marked as a sealing abnormality natural gas valve; otherwise, the closed natural gas valve is marked as a natural gas valve to be analyzed, thereby screening the natural gas valves to be analyzed belonging to the factory.

[0065] According to the internal gas pressure value of each closed natural gas valve downstream of the factory at each closed monitoring time point, the abnormal pressure drop coefficient θ of each natural gas valve to be analyzed downstream of the factory is analyzed. r , where r represents each natural gas valve to be analyzed, r=1,2,...,s, and s is a positive integer greater than 2.

[0066] According to the internal natural gas concentration value of each closed natural gas valve downstream of the factory at each closed monitoring time point, the concentration drop abnormal coefficient E of each natural gas valve to be analyzed downstream of the factory is analyzed. r .

[0067] Calculate the sealing anomaly coefficient F of each natural gas valve to be analyzed in the factory r =θ r +E r .

[0068] A sealing abnormality coefficient threshold is obtained from a local database. If the sealing abnormality coefficient of a natural gas valve to be analyzed in a factory is greater than the sealing abnormality coefficient threshold, the natural gas valve to be analyzed is marked as a natural gas valve with sealing abnormality.

[0069] Summarize the natural gas valves with abnormal sealing in the factory.

[0070] In a specific embodiment of the present invention, the pressure drop anomaly coefficient of the downstream of each natural gas valve to be analyzed belonging to the factory is analyzed, and the specific analysis method is: according to the internal pressure value of the downstream of each closed natural gas valve belonging to the factory at each closed monitoring time point, the internal pressure value of the downstream of each natural gas valve to be analyzed belonging to the factory at each closed monitoring time point is extracted, and the closed monitoring time point when the internal pressure value of the downstream of each natural gas valve to be analyzed belonging to the factory drops to the target pressure value for the first time is marked as the target time point, thereby obtaining the target time point downstream of each natural gas valve to be analyzed belonging to the factory, and each closed monitoring time point after the target time point is marked as each analysis time point, thereby obtaining the internal pressure value k of each analysis time point downstream of each natural gas valve to be analyzed belonging to the factory rt , where t represents each analysis time point, t=1, 2, ..., w, and w is a positive integer greater than 2.

[0071] According to the target pressure drop value B, calculate the pressure drop fluctuation coefficient downstream of each natural gas valve to be analyzed in the factory Where w is the number of time points analyzed.

[0072] The valve closing time point of each natural gas valve to be analyzed in the factory is obtained from the local database, and combined with the target time point downstream of each natural gas valve to be analyzed in the factory, the falling time l of the downstream of each natural gas valve to be analyzed in the factory to reach the falling target gas pressure value is calculated. r .

[0073] Obtain the appropriate target duration D from the local database and calculate the abnormal coefficient of the downstream drop duration of each natural gas valve to be analyzed in the factory

[0074] Calculate the abnormal coefficient of gas pressure drop downstream of each natural gas valve to be analyzed in the factory

[0075] In a specific embodiment of the present invention, the concentration drop abnormal coefficient of the downstream of each natural gas valve to be analyzed belonging to the analysis factory is analyzed by a specific analysis method: according to the internal natural gas concentration value of the downstream of each closed natural gas valve belonging to the factory at each closed monitoring time point, the internal natural gas concentration value u of the downstream of each natural gas valve to be analyzed belonging to the factory at each analysis time point is extracted rt .

[0076] Analyze the concentration drop abnormal coefficient downstream of each natural gas valve to be analyzed in the factory

[0077] The valve closing monitoring and processing unit of the present invention monitors the internal gas pressure value upstream of each closed natural gas valve belonging to the factory, and promptly identifies whether there is a problem with the safety valve of each closed natural gas valve belonging to the factory, thereby improving the safety of the natural gas valve. At the same time, real-time monitoring is performed on the downstream of each closed natural gas valve belonging to the factory to determine whether there is a valve sealing abnormality in each closed natural gas valve belonging to the factory, thereby reducing the occurrence rate of the problem that the downstream still receives the natural gas transported by the upstream due to reduced valve sealing, thereby improving the functionality of the natural gas valve.

[0078] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. An intelligent natural gas valve remote safety monitoring system, characterized in that: include: The natural gas valve status detection module is used to obtain the operating status of each natural gas valve belonging to the factory, and screen the open natural gas valves and closed natural gas valves belonging to the factory accordingly; The valve opening monitoring and processing unit is used to screen the faulty natural gas valves in the factory, analyze the causes of the faults, and send them to the person in charge of natural gas management; The valve closing monitoring and processing unit is used to screen the abnormal natural gas valves of each safety valve and each seal abnormal natural gas valve belonging to the factory, and send them to the person in charge of natural gas management.

2. According to claim 1, the intelligent natural gas valve remote safety monitoring system is characterized in that: The natural gas valve opening monitoring and processing unit includes: a valve opening data acquisition module, a valve opening analysis module, and a valve abnormality processing unit; The valve opening data acquisition module is used to obtain the operation image, operation decibel and external natural gas concentration of each opened natural gas valve belonging to the factory at each opening monitoring time point during the opening monitoring time period; The valve opening analysis module is used to analyze the operation failure coefficient of each open natural gas valve belonging to the factory, evaluate the gas leakage coefficient of each open natural gas valve belonging to the factory, and analyze each open faulty natural gas valve belonging to the factory and its failure cause; The valve abnormality processing unit is used to send each open faulty natural gas valve belonging to the factory and the cause of the fault to the person in charge of natural gas management.

3. The intelligent natural gas valve remote safety monitoring system according to claim 2 is characterized in that: The specific analysis method of the operating failure coefficient of each open natural gas valve belonging to the analysis factory is as follows: According to the operation images of each open natural gas valve in the factory at each open monitoring time point, and through the grayscale change, the grayscale value a of each pixel point of the operation image of each open natural gas valve in the factory at each open monitoring time point is obtained. xni , where x represents each open natural gas valve, x = 1, 2, ..., y, y is a positive integer greater than 2, n represents the number of each open monitoring time point, n = 1, 2, ..., m, m is a positive integer greater than 2, i represents the number of each pixel point, i = 1, 2, ..., j, j is a positive integer greater than 2, and the gray value b of each pixel point of the still image of each open natural gas valve belonging to the factory is obtained from the local database xi , calculate the operational jitter threat coefficient of each open natural gas valve in the factory Where e represents a natural constant; Get the initial operating decibels c of each opened natural gas valve in the factory from the local database x , based on the operating decibels of each open natural gas valve in the factory at each open monitoring time point xn , calculate the noise hazard coefficient of each natural gas valve in the factory Analyze the operating failure coefficient ε of each open natural gas valve in the factory x =β x +δ x .

4. The intelligent natural gas valve remote safety monitoring system according to claim 3 is characterized in that: The specific evaluation method of the gas leakage coefficient of each open natural gas valve of the evaluation factory is as follows: Obtain the appropriate natural gas concentration A for opening the natural gas valve from the local database, and evaluate the external natural gas concentration f of each natural gas valve opened in the factory at each opening monitoring time point. xn , calculate the gas leakage coefficient of each open natural gas valve in the factory at each open monitoring time point Calculate the gas leakage coefficient of each open natural gas valve in the factory 5. The intelligent natural gas valve remote safety monitoring system according to claim 1 is characterized in that: The specific analysis method of the open fault natural gas valves and their fault causes belonging to the analysis factory is as follows: Obtaining an operation fault coefficient threshold from a local database, if an operation fault coefficient of a certain open natural gas valve belonging to the factory is greater than the operation fault coefficient threshold, marking the open natural gas valve as an open fault natural gas valve, and recording the cause of the fault as insufficient device stability; A gas leakage coefficient threshold is obtained from a local database. If the gas leakage coefficient of a certain open natural gas valve belonging to the factory is greater than the gas leakage coefficient threshold, the open natural gas valve is marked as an open faulty natural gas valve, and the cause of the fault is recorded as gas leakage. Summarize the factory's open faulty natural gas valves and their failure causes.

6. The intelligent natural gas valve remote safety monitoring system according to claim 1 is characterized in that: The valve closing monitoring and processing unit includes: a valve upstream safety analysis module, a valve sealing analysis module, and a valve closing abnormality processing module; The valve upstream safety analysis module is used to obtain the internal gas pressure value of the upstream of each closed natural gas valve of the factory at each closing monitoring time point after each closed natural gas valve of the factory is completely closed, and to determine whether there is an abnormal safety valve upstream of each closed natural gas valve of the factory, so as to screen the natural gas valves with abnormal safety valves of the factory; The valve sealing analysis module is used to obtain the internal natural gas concentration value and internal gas pressure value of each closed natural gas valve belonging to the factory at each closed monitoring time point downstream, and screen the natural gas valves belonging to the factory with abnormal sealing; The valve closing abnormality processing module is used to send the abnormal natural gas valves of each safety valve and each sealing abnormal natural gas valve belonging to the factory to the person in charge of natural gas management.

7. The intelligent natural gas valve remote safety monitoring system according to claim 6 is characterized in that: The specific method for judging whether there is an abnormality in the safety valve upstream of each closed natural gas valve of the factory is as follows: Obtain the first-level warning internal air pressure value and the second-level warning internal air pressure value from the local database; If the internal pressure value of the upstream of a closed natural gas valve belonging to the factory at a certain closed monitoring time point is greater than the first-level warning internal pressure value, the closed monitoring time point is marked as the safety valve activation time point, thereby screening the safety valve activation time points upstream of each closed natural gas valve belonging to the factory, and counting the number of safety valve activation time points upstream of each closed natural gas valve belonging to the factory. p , where p represents the serial number of each closed natural gas valve, p = 1, 2, ..., q, q is a positive integer greater than 2; If the internal air pressure value of the upstream of a closed natural gas valve belonging to the factory at a closed monitoring time point is greater than the second-level warning internal air pressure value, the closed monitoring time point is marked as the air pressure threat time point, thereby screening the air pressure threat time points upstream of each closed natural gas valve belonging to the factory, and counting the number of air pressure threat time points upstream of each closed natural gas valve belonging to the factory h p ; Calculate the gas pressure threat factor upstream of each closed natural gas valve in the factory The gas pressure threat coefficient threshold is obtained from the local database. If the gas pressure threat coefficient upstream of a closed natural gas valve belonging to the factory is greater than the gas pressure threat coefficient threshold, it is determined that a safety valve abnormality occurs upstream of the closed natural gas valve belonging to the factory.

8. The intelligent natural gas valve remote safety monitoring system according to claim 7 is characterized in that: The specific screening method for the natural gas valves with abnormal sealing belonging to the screening factory is as follows: Obtain the target gas pressure drop value from the local database. If the internal gas pressure value downstream of a closed natural gas valve belonging to the factory at each closed monitoring time point is greater than the target gas pressure drop value, the closed natural gas valve is marked as a natural gas valve with abnormal sealing. Otherwise, the closed natural gas valve is marked as a natural gas valve to be analyzed, thereby screening the natural gas valves to be analyzed belonging to the factory; According to the internal gas pressure value of each closed natural gas valve downstream of the factory at each closed monitoring time point, the abnormal pressure drop coefficient θ of each natural gas valve to be analyzed downstream of the factory is analyzed. r , where r represents each natural gas valve to be analyzed, r = 1, 2, ..., s, s is a positive integer greater than 2; According to the internal natural gas concentration value of each closed natural gas valve downstream of the factory at each closed monitoring time point, the concentration drop abnormal coefficient E of each natural gas valve to be analyzed downstream of the factory is analyzed. r ; Calculate the sealing anomaly coefficient F of each natural gas valve to be analyzed in the factory r =θ r +E r ; A sealing abnormality coefficient threshold is obtained from a local database. If the sealing abnormality coefficient of a natural gas valve to be analyzed in a factory is greater than the sealing abnormality coefficient threshold, the natural gas valve to be analyzed is marked as a natural gas valve with sealing abnormality. Summarize the natural gas valves with abnormal sealing in the factory.

9. The intelligent natural gas valve remote safety monitoring system according to claim 8 is characterized in that: The specific analysis method of the abnormal coefficient of gas pressure drop downstream of each natural gas valve to be analyzed in the analysis plant is as follows: According to the internal air pressure values ​​of the downstream of each closed natural gas valve belonging to the factory at each closed monitoring time point, the internal air pressure values ​​of the downstream of each natural gas valve to be analyzed in the factory at each closed monitoring time point are extracted, and the closed monitoring time point when the internal air pressure value downstream of each natural gas valve to be analyzed in the factory drops to the target air pressure value for the first time is marked as the target time point, thereby obtaining the target time point downstream of each natural gas valve to be analyzed in the factory, and marking each closed monitoring time point after the target time point as each analysis time point, thereby obtaining the internal air pressure value k at each analysis time point downstream of each natural gas valve to be analyzed in the factory rt , where t represents each analysis time point, t = 1, 2, ..., w, w is a positive integer greater than 2; According to the target pressure drop value B, calculate the pressure drop fluctuation coefficient downstream of each natural gas valve to be analyzed in the factory Where w is the number of analysis time points; The valve closing time point of each natural gas valve to be analyzed in the factory is obtained from the local database, and combined with the target time point downstream of each natural gas valve to be analyzed in the factory, the falling time l of the downstream of each natural gas valve to be analyzed in the factory to reach the falling target gas pressure value is calculated. r ; Obtain the appropriate target duration D from the local database and calculate the abnormal coefficient of the downstream drop duration of each natural gas valve to be analyzed in the factory Calculate the abnormal coefficient of gas pressure drop downstream of each natural gas valve to be analyzed in the factory 10. The intelligent natural gas valve remote safety monitoring system according to claim 8, characterized in that: The specific analysis method of the abnormal coefficient of concentration drop downstream of each natural gas valve to be analyzed belonging to the analysis factory is as follows: According to the internal natural gas concentration value of each closed natural gas valve downstream of the factory at each closed monitoring time point, the internal natural gas concentration value u of each natural gas valve to be analyzed downstream of the factory at each analysis time point is extracted. rt ; Analyze the concentration drop abnormal coefficient downstream of each natural gas valve to be analyzed in the factory

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