A method for monitoring the health of a gas system based on flow coefficient

Abstract

This invention provides a gas system health monitoring method based on flow coefficient. At the start of monitoring, a data processor acquires the gas operating temperature, gas mass flow rate, upstream pressure, and downstream pressure. The data processor calculates the state parameters of the monitored flow components, as well as the corresponding flow coefficients and health index parameters. It then determines whether the health index parameters are within the acceptable range: if yes, the monitored flow components are healthy; otherwise, the health of the monitored flow components has deteriorated. This application monitors the health index parameters by monitoring the flow coefficient of the monitored flow components. The hardware structure is simple and easy to implement, and it can accurately monitor whether the monitored flow components have health deterioration problems such as minor blockage or minor corrosion. This has important and innovative guiding significance for the engineering application of gas system health diagnosis.

Description

Technical Field

[0001] This invention relates to the field of gas supply technology, and in particular to a method for monitoring the health of a gas system based on flow coefficient. Background Technology

[0002] Gas systems are critical industrial systems, and their health is closely related to their stable operation. Flow-passing components in gas systems, such as flow control valves, orifice plates, nozzles, filters, and pressure regulators, can experience blockages and corrosion if the composition of the incoming gas changes or its cleanliness is compromised. These problems typically develop gradually through a cumulative process. If gas system health deterioration is not detected early, it can progress to a severe stage, leading to irreparable damage to flow-passing components or even more serious consequences, resulting in significant economic losses. Therefore, it is essential to monitor the health of gas systems to ensure their lifespan.

[0003] Effective health monitoring of gas systems hinges on identifying appropriate health parameters. The flow coefficient, a dimensionless parameter characterizing the flow performance of system components, indicates a change in the physical structure of those components. Thus, the health of the gas system can be monitored based on the flow characteristics of these components. However, when health deterioration issues such as minor blockages or corrosion occur in the flow components of a gas system, traditional methods of simply monitoring temperature, pressure, flow rate, and vibration are insufficient to clearly indicate the problem and accurately assess the gas system's health. Summary of the Invention

[0004] In view of the shortcomings of the prior art described above, the purpose of this invention is to provide a gas system health monitoring method based on flow coefficient, which can accurately detect the health of the gas system.

[0005] To achieve the above objectives, the present invention provides a method for monitoring the health of a gas system based on flow coefficient, comprising the following steps:

[0006] S1. A data processor is configured in the gas system, and temperature measuring points, flow measuring points, upstream pressure measuring points and downstream pressure measuring points are all set on the gas pipeline in the gas system. The upstream pressure measuring points and downstream pressure measuring points are located on the upstream side and downstream side of the monitored flow component in the gas system, respectively. The temperature measuring points, flow measuring points, upstream pressure measuring points and downstream pressure measuring points are all communicatively connected to the data processor.

[0007] S2. Pre-store or import the following parameters into the data processor: standard density ρ of the gas. NThe adiabatic index k of the gas, the compressibility factor Z of the gas, and the pressure recovery coefficient F of the monitored flow passage component. L and the range of health standards;

[0008] S3. Set the initial sampling time t0 and sampling period Δt of the monitored flow component in the data processor;

[0009] S4. Monitoring begins. The data processor calculates the health index parameters of the monitored flow component in each sampling cycle.

[0010] S41. The data processor acquires, at each sampling time point t = t0 + nΔt, the real-time gas operating temperature T of the temperature measuring point, the real-time gas mass flow rate m of the flow measuring point, the real-time upstream pressure P1 of the gas operation monitored by the upstream pressure measuring point, the real-time downstream pressure P2 of the gas operation monitored by the downstream pressure measuring point, and the valve position correction coefficient β of the monitored flow passage component, where n is a natural number.

[0011] S42. The data processor calculates the state parameter ENUM of the monitored flow component at each sampling time point t = t0 + nΔt, as well as the flow coefficient Kv and health index parameter y corresponding to this state parameter:

[0012] when At that time, the state parameter ENUM = "normal state". in,

[0013] when At that time, the state parameter ENUM = "congestion state".

[0014] S5. Determine the health index parameter y. normal or y chocked Is the health level within the specified range?

[0015] If so, it indicates that the health of the monitored flow-through component meets the standards;

[0016] If not, it indicates that the health of the monitored flow-through component has deteriorated.

[0017] Furthermore, when the throat of the monitored flow passage component is variable, the valve position correction coefficient β is obtained as follows:

[0018] A1. In step S1: a valve position measuring point connected to the monitored flow component is configured in the gas system, and the valve position measuring point is communicatively connected to the data processor.

[0019] A2. In step S3: multiple valve position monitoring points L of the monitored flow passage component are defined in the data processor. N and monitoring points L of each valve position N One-to-one corresponding valve position fluctuation range ΔL N The monitored flow passage component has multiple valve position monitoring point intervals L N ±ΔL N The health compliance range is a plurality of valve position health compliance ranges that correspond one-to-one with each valve position monitoring point interval, where N is a positive integer;

[0020] A3. In step S41: the data processor further calculates the valve position parameter L of the monitored flow component monitored in real time at each sampling time point t = t0 + nΔt, and the valve position correction coefficient β is:

[0021] The data processor also determines the valve position monitoring point interval to which the valve position parameter L belongs. If the valve position parameter L does not belong to any of the valve position monitoring point intervals L... N ±ΔL N If the valve position parameter L is determined to belong to a certain valve position monitoring point interval L, then proceed to step S41 of the next sampling cycle; N ±ΔL N Then proceed to steps S42 and S5 of the sampling cycle.

[0022] Furthermore, in step S3, the data processor also defines the corresponding valve position monitoring points L. N The valve position health status meets the allowable upper deviation Δy. N上 And the allowable deviation Δy of valve position health meets the standard N下 The valve position health compliance range is [1-Δy]. N下 ,1+Δy N上 ].

[0023] Furthermore, when the throat of the monitored flow passage component is immutable, the valve position correction coefficient β = 1.

[0024] Furthermore, in step S3, the allowable upper deviation Δy for achieving the health standard is defined in the data processor. 上 And the allowable deviation Δy of health level meeting the standard 下 The health level meets the standard range of [1-Δy]. 下 ,1+Δy 上 ].

[0025] As described above, the gas system health monitoring method based on flow coefficient of the present invention has the following beneficial effects:

[0026] This application monitors the health indicators of a gas system by monitoring the flow coefficient of the monitored flow component. The hardware only requires the introduction of temperature, flow, upstream, and downstream pressure measuring points into the gas system, making the hardware structure simple and easy to implement. In particular, monitoring the flow coefficient of the monitored flow component can more sensitively indicate its health status, accurately detecting whether the monitored flow component has experienced health deterioration problems such as minor blockage or minor corrosion. This has significant and innovative guiding significance for the engineering application of gas system health diagnosis. Attached Figure Description

[0027] Figure 1 This is a schematic diagram of a specific embodiment of the gas system in this application.

[0028] Component designation explanation

[0029] 1. Gas pipeline

[0030] 2 Temperature measuring points

[0031] 3 First pressure measuring point

[0032] 4. Flow control valve

[0033] 5 Valve position measuring points

[0034] 6 Flow measurement points

[0035] 7 Second pressure measuring point

[0036] 8 Gas branch pipe

[0037] 9. Burner

[0038] 10 Combustion Chamber

[0039] 11 Third pressure measuring point Detailed Implementation

[0040] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification.

[0041] It should be understood that the structures, proportions, sizes, etc., depicted in the accompanying drawings are merely for illustrative purposes to aid those skilled in the art and to facilitate understanding. They are not intended to limit the scope of the invention and therefore have no substantial technical significance. Any modifications to the structure, changes in proportions, or adjustments to size, without affecting the effectiveness and objectives of the invention, should still fall within the scope of the technical content disclosed herein. Furthermore, the terms "upper," "lower," "left," "right," "middle," and "one" used in this specification are merely for clarity and not intended to limit the scope of the invention. Changes or adjustments to their relative relationships, without substantially altering the technical content, should also be considered within the scope of the invention's implementation.

[0042] This application relates to the field of gas supply technology, and in particular to a method for monitoring the health of a gas system based on a flow coefficient, used to monitor the health of flow-through components in a gas system. The gas system health monitoring method of this application includes the following steps:

[0043] Step S1: Configure a data processor, temperature measuring point 2, flow measuring point 6, upstream pressure measuring point, and downstream pressure measuring point in the gas system, such as... Figure 1 As shown, temperature measuring point 2, flow measuring point 6, upstream pressure measuring point, and downstream pressure measuring point are all installed on the gas pipeline in the gas system. Temperature measuring point 2 is located at the inlet of the gas pipeline and can be a temperature sensor for real-time monitoring of the gas operating temperature T. Flow measuring point 6 can be a flow sensor for real-time monitoring of the gas mass flow rate m. Both the upstream and downstream pressure measuring points can be pressure sensors. The upstream pressure measuring point is located upstream of the monitored flow passage component in the gas system and is used to monitor the upstream pressure P1 of the gas operation in real-time. This upstream pressure P1 is also the gas operating pressure at the inlet side of the monitored flow passage component. The downstream pressure measuring point is located downstream of the monitored flow passage component in the gas system and is used to monitor the downstream pressure P2 of the gas operation in real-time. This upstream pressure P2 is also the gas operating pressure at the outlet side of the monitored flow passage component. Temperature measuring point 2, flow measuring point 6, upstream pressure measuring point, and downstream pressure measuring point are all connected to the data processor. During monitoring, temperature measuring point 2 feeds back the gas operating temperature T, flow measuring point 6 the gas mass flow rate m, upstream pressure measuring point 6 the upstream pressure P1, and downstream pressure measuring point 6 the upstream pressure P2 to the data processor for subsequent calculation of health index parameters. The area between the upstream and downstream pressure measuring points constitutes a monitoring segment, and the health of the flow-through components within this segment is monitored. Furthermore, when the pressure at a certain point in the gas system can be characterized by data from other external measuring points, that point can also be used as a segmentation point, thus avoiding the need to add new pressure measuring points.

[0044] Step S2: Pre-store the following parameters in the data processor, or import the following parameters from other systems into the data processor: standard density ρ of the fuel gas. N The adiabatic index k of the gas, the compressibility factor Z of the gas, and the pressure recovery coefficient F of the monitored flow path component. L And the health standard range. Among them, the standard density ρ of the gas. N The density of the gas under standard conditions is expressed in kilograms per cubic meter. This value can be manually entered as a constant based on the gas's properties, or obtained through real-time sampling. The adiabatic index k of the gas is dimensionless. This value can be manually entered as a constant based on the gas's properties, or obtained through real-time sampling or calculation. The compressibility factor Z of the gas is dimensionless and is a function of the gas's operating parameters and its physical properties. This value can be manually entered as a constant based on the gas's properties, or calculated in real-time. The pressure recovery coefficient F of the monitored flow path component... L The pressure recovery coefficient F L The expression is ΔP C ΔP is the pressure difference between the inlet of the monitored flow passage and the throttle throat when the monitored flow passage reaches its critical state. VC It is the pressure difference between the inlet and outlet of the monitored flow passage component, and the pressure recovery coefficient F. L This is an inherent characteristic of the monitored flow-through component. This data can be obtained from the component manufacturer, through experimental methods, or by using empirical values, such as the pressure recovery coefficient F of a single-seat shut-off valve. L The pressure recovery coefficient F of the ball valve can be taken as 0.8-0.9. L The pressure recovery coefficient F of the monitored flow passage component, which can be taken as 0.6-0.74, and does not have obvious throat features in its structure, can be selected. L A value of 1 is acceptable; if the pressure recovery coefficient F is unavailable... L If the accurate value is 1, then it can be directly taken as 1, which has very little impact on the accuracy of the gas system health monitoring method involved in this application.

[0045] Step S3: Set the initial sampling time t0 and sampling period Δt of the monitored flow component in the data processor. Then the sampling time t is t = t0 + nΔt, where n is a natural number. The first sampling time t1 = t0, n = 0; the second sampling time t2 = t0 + Δt, n = 1; the third sampling time t3 = t0 + 2Δt, n = 2, and so on.

[0046] Step S4: Monitoring begins. The data processor calculates the health index parameters of the monitored flow components in each sampling period.

[0047] Step S41: The data processor acquires the real-time gas operating temperature T at temperature measuring point 2, the real-time gas mass flow rate m at flow measuring point 6, the real-time upstream pressure P1 at upstream pressure measuring point, the real-time downstream pressure P2 at downstream pressure measuring point, and the valve position correction coefficient β of the monitored flow passage component at each sampling time point t = t0 + nΔt. Wherein, the gas operating temperature T is the thermodynamic temperature of the gas in the monitored section, in Kelvin; the gas mass flow rate m is in kilograms per second; and the units of upstream pressure P1 and downstream pressure P2 are both 10... 5 Pascal; The valve position correction factor β of the monitored flow passage component is related to the throat characteristics of the monitored flow passage component, that is, it is related to the valve position parameter L of the monitored flow passage component.

[0048] Step S42: The data processor calculates the state parameter ENUM of the monitored flow component at each sampling time point t = t0 + nΔt, as well as the flow coefficient Kv and health index parameter y corresponding to this state parameter.

[0049] when At that time, the state parameter ENUM = "normal state". in, Kv normal0 Kv represents the flow coefficient at the first sampling point t1 = t0 under normal conditions. normaln For the nth sample t under normal conditions n The flow coefficient after linear correction at t0 + nΔt;

[0050] when At that time, the state parameter ENUM = "congestion state". Kv chocked0 Kv represents the flow coefficient at the first sampling point t1 = t0 under congested conditions. chockedn For the nth sample t under congested conditions n The flow coefficient after linear correction when t0 + nΔt.

[0051] Therefore, as time progresses, the data processed by the data processor is represented as follows:

[0052] First sampling: t1 "Normal state" or "Congested state" L|t=t1 Kv|t=t1 y|t=t1

[0053] Second sampling: t2 "Normal state" or "Congested state" L|t=t2 Kv|t=t2 y|t=t2

[0054] Third sampling: t3 "Normal state" or "Congested state" L|t=t3 Kv|t=t3 y|t=t3

[0055] …

[0056] Step S5: Determine the health index parameter y normal or y chocked Is it within the health standard range? If yes, it means that the health of the monitored flow component is up to standard; if no, it means that the health of the monitored flow component has deteriorated.

[0057] This application monitors the health indicators of a gas system by monitoring the flow coefficient of the monitored flow component. The hardware only requires the introduction of temperature measuring point 2, flow measuring point 6, upstream pressure measuring point, and downstream pressure measuring point into the gas system. The hardware structure is simple and easy to implement. In particular, monitoring the flow coefficient of the monitored flow component can more sensitively indicate its health status, accurately detecting whether the monitored flow component has experienced health deterioration problems such as minor blockage or minor corrosion. This has significant and innovative guiding significance for the engineering application of gas system health diagnosis.

[0058] Furthermore, the valve position correction coefficient β of the monitored flow passage component is determined by the throat characteristics of the monitored flow passage component. Based on this, when the throat of the monitored flow passage component is variable, i.e., when the flow rate of the monitored flow passage component is variable, such as when the monitored flow passage component is a flow control valve 4, and it is necessary to monitor the health of the monitored flow passage component with a variable throat at various opening positions, then the valve position correction coefficient β is obtained as follows:

[0059] A1. In step S1: A valve position measuring point 5 connected to the monitored flow passage component is also configured in the gas system. The valve position measuring point 5 is used to monitor the valve position parameter L of the monitored flow passage component in real time. The valve position measuring point 5 is connected to the data processor and feeds back the valve position parameter L to the data processor. The valve position parameter L reflects the valve position information of the monitored flow passage component, or in other words, reflects the opening position of the monitored flow passage component, in units of %.

[0060] A2, In step S3: Define multiple valve position monitoring points L for the monitored flow component in the data processor. N and monitoring points L of each valve position N One-to-one corresponding valve position fluctuation range ΔL N The monitored flow passage component has multiple valve position monitoring point intervals L N ±ΔL N The health compliance range is a range of valve position health compliance that corresponds one-to-one with each valve position monitoring point interval, where N is a positive integer.

[0061] A3. In step S41: The data processor also acquires the valve position parameter L of the monitored flow component at valve position measuring point 5 in real time at each sampling time point t = t0 + nΔt, and the valve position correction coefficient β is: The data processor also determines the valve position monitoring point interval to which the valve position parameter L belongs. If the valve position parameter L does not belong to any of the valve position monitoring point intervals L... N ±ΔL N If the valve position parameter L is determined to belong to a certain valve position monitoring point interval L, then proceed to step S41 of the next sampling cycle; N ±ΔL N Then proceed to steps S42 and S5 of the sampling cycle.

[0062] At this point, in step S3, the data processor also defines the monitoring points L for each valve position. N The valve position health status meets the allowable upper deviation Δy. N上 And the allowable deviation Δy of valve position health meets the standard N下 The valve position health compliance range is [1-Δy]. N下 ,1+Δy N上 ].

[0063] Furthermore, when the throat of the monitored flow passage component is immutable, the valve position parameter L of the monitored flow passage component is 100%, such as a branch pipe, fixed orifice plate, nozzle, burner 9, etc., and the 100% opening position is taken as the monitoring point, with a valve position correction coefficient β = 1. At this time, in step S3, the allowable upper deviation Δy for health compliance is defined in the data processor. 上 And the allowable deviation Δy of health level meeting the standard 下 The health level meets the standard range of [1-Δy]. 下 ,1+Δy 上 ].

[0064] The following is an application example of a gas system health monitoring method based on flow coefficient, applied to a conventional industrial gas system. A conventional industrial gas system refers to a system where each gas transmission line typically has the following configuration: Figure 1 As shown, the system includes a gas pipeline 1 connected to the upstream flow, a combustion chamber 10, multiple burners 9 installed around the combustion chamber 10, and multiple gas branch pipes 8 connecting the end of the gas pipeline 1 to each burner 9. The gas pipeline 1 is equipped with a temperature measuring point 2, a first pressure measuring point 3, a flow control valve 4, a flow measuring point 6, and a second pressure measuring point 7, arranged sequentially along the gas flow direction. The flow control valve 4 has a valve position measuring point 5 capable of measuring the real-time valve position. A third pressure measuring point 11 is located at the outlet of the combustion chamber 10. If the combustion chamber 10 can be a gas turbine compressor, then the third pressure measuring point 11 is located at the outlet of the gas turbine compressor. Gas supplied from the upstream flow flows into the gas pipeline 1. After passing through the flow control valve 4 and the multiple gas branch pipes 8, the gas is distributed to the multiple burners 9. The gas is then ejected from the burners 9 into the combustion chamber 10 for combustion.

[0065] In the above application embodiment, the target objects of health monitoring are the flow control valve 4, the gas branch pipe 8, and the burner 9. The flow control valve 4 is a monitored flow-passing component with a variable throat, while the gas branch pipe 8 and the burner 9 are monitored flow-passing components with a fixed throat. The first pressure measuring point 3 and the second pressure measuring point 7 are the upstream and downstream pressure measuring points of the flow control valve 4, respectively. The second pressure measuring point 7 and the third pressure measuring point 11 are the upstream and downstream pressure measuring points of the gas branch pipe 8 and the burner 9, respectively. The health monitoring method for the flow control valve 4, the gas branch pipe 8, and the burner 9 includes the following steps:

[0066] First, the gas system is divided into two monitoring sections. The first monitoring section runs from the first pressure measuring point 3 to the second pressure measuring point 7, and the flow control valve 4 is the monitored flow-through component in this section. The second monitoring section runs from the second pressure measuring point 7 to the third pressure measuring point 11, and the gas branch pipe 8 and the burner 9 are the monitored flow-through components in this section.

[0067] Second, determine the source of values ​​for each parameter: based on the properties of the gas, determine the standard density ρ of the gas. N The adiabatic index k and compressibility factor Z of the gas are each taken as constants and then manually input. The pressure recovery coefficient F of the flow control valve 4 is then set. L1 The pressure recovery coefficient F of gas branch pipe 8 and burner 9 L2 Take 1 for all and enter it manually.

[0068] Third, in the data processor, set the initial sampling time c0 and sampling period Δc1 for the first monitoring segment, and set the initial sampling time c0 and sampling period Δc2 for the second monitoring segment.

[0069] Fourth, begin monitoring health status for the first monitoring segment:

[0070] First, define multiple valve position monitoring points L for flow control valve 4. N and the monitoring points L of each valve position N One-to-one corresponding valve position fluctuation range ΔL N Valve position health meets the allowable upper deviation Δy N上 And the allowable deviation Δy of valve position health meets the standard N下 First valve position monitoring point: L1 = 5%, ΔL1 = 0.5%, Δy 1上 =0.1%, Δy 1下 =0.05%; Second valve position monitoring point: L2 = 10%, ΔL2 = 1%, Δy 2上 =0.1%, Δy 2下 =0.1%...; The specific value should be selected based on the actual operating conditions of the unit, and the normal operating conditions and typical operating conditions should be selected.

[0071] Secondly, once monitoring begins, the following calculations are performed within each sampling period:

[0072] 1.1 Acquire the real-time gas operating temperature T from temperature measuring point 2, the real-time gas mass flow rate m from flow measuring point 6, and the real-time pressure P from the first pressure measuring point 3. a The pressure P monitored in real time at the second pressure measuring point 7 b And the valve position parameter L monitored in real time by valve position measuring point 5;

[0073] 1.2 The data processor determines the valve position monitoring point interval L to which the valve position parameter L belongs. N ±ΔL N If none of the above apply, discard the data and proceed to the next sampling cycle; if it belongs to a valve position monitoring point interval L... N ±ΔL N Then based on the valve position monitoring point interval L N ±ΔL N Proceed to the next calculation;

[0074] 1.3 Calculate the state parameter ENUM of flow control valve 4: If When ENUM = "normal state", then the state parameter ENUM = "normal state"; if When this happens, the state parameter ENUM = "Congestion state";

[0075] 1.4 If the state parameter ENUM = "Normal State", then the flow coefficient of the flow control valve 4 after linear correction is... The first one to be calculated That is, the initial flow coefficient. Health index parameters

[0076] 1.5 If the state parameter ENUM = "Congestion State", then the flow coefficient of the flow control valve 4 after linear correction will be... The first one to be calculated That is, the initial flow coefficient. Health index parameters

[0077] 1.6. Judgment or Does it deviate from the valve position health standard range [1-Δy]? N下 ,1+Δy N上If there is no deviation, it means that the health of the flow control valve 4 under the corresponding valve position parameter L is up to standard, and the next sampling cycle will begin; if there is a deviation, it means that the health of the flow control valve 4 under the corresponding valve position parameter L has deteriorated, and the system will issue an alarm and determine whether a manual stop signal has entered the system. If there is no manual stop signal, the next sampling cycle will begin; if there is a manual stop signal, the monitoring of the first monitoring segment will end.

[0078] Fifth, begin monitoring health status in the second monitoring segment:

[0079] First, the valve position parameter L of gas branch pipe 8 and burner 9 is 100%, and there is only one valve position monitoring point L. N If the value is 100%, then the valve position correction factor β is 1; the allowable upper deviation Δy for the health of the gas branch pipe 8 and the burner 9 is defined. 上 =0.05%, and the allowable deviation Δy for meeting health standards. 下 =0.05%;

[0080] Secondly, once monitoring begins, the following calculations are performed within each sampling period:

[0081] 2.1. Obtain the real-time gas operating temperature T from temperature measuring point 2, the real-time gas mass flow rate m from flow measuring point 6, and the real-time pressure P from the second pressure measuring point 7. b And the pressure P monitored in real time by the third pressure measuring point 11. c ;

[0082] 2.2 Calculate the state parameters ENUM for gas branch pipe 8 and burner 9: If When ENUM = "normal state", then the state parameter ENUM = "normal state"; if When this happens, the state parameter ENUM = "Congestion state";

[0083] 2.3 If the state parameter ENUM = "normal state", then the flow coefficients of gas branch pipe 8 and burner 9 are... The first one to be calculated That is, the initial flow coefficient. Health index parameters

[0084] 2.4 If the state parameter ENUM = "blocked state", then the flow coefficients of the gas branch pipe 8 and the burner 9 are... The first one to be calculated That is, the initial flow coefficient. Health index parameters

[0085] 2.5. Judgment or Does it deviate from the health standard range [1-Δy]? 下 ,1+Δy 上 If there is no deviation, it means that the health of gas branch pipe 8 and burner 9 is up to standard and the next sampling cycle begins; if there is a deviation, it means that the health of gas branch pipe 8 and burner 9 has deteriorated, and the system will issue an alarm and determine whether a manual stop signal has entered the system. If there is no manual stop signal, the next sampling cycle begins; if there is a manual stop signal, the monitoring of the first monitoring segment ends.

[0086] In summary, this invention effectively overcomes the various shortcomings of the prior art and has high industrial application value.

[0087] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A flow coefficient based gas system health monitoring method, characterized by: The method comprises the following steps: S1, configuring a data processor in a gas system, and a temperature measuring point, a flow measuring point, an upstream pressure measuring point and a downstream pressure measuring point all arranged on a gas pipeline in the gas system, the upstream pressure measuring point and the downstream pressure measuring point being respectively located on the upstream side and the downstream side of a monitored through-flow component in the gas system, the temperature measuring point, the flow measuring point, the upstream pressure measuring point and the downstream pressure measuring point all being in communication connection with the data processor; S2, pre-storing or importing in the data processor the following parameters: the standard density of the fuel gas ρ N , the adiabatic index k of the fuel gas, the compression factor Z of the fuel gas, the pressure recovery coefficient F of the monitored through-flow component L , and the health degree compliance range; S3, setting a sampling initial time t0 and a sampling period Δt of the monitored through-flow component in the data processor; S4, starting monitoring, the data processor calculating a health degree index parameter of the monitored through-flow component in each sampling period: S41, the data processor acquiring, at each sampling time point t=t0+nΔt, a real-time monitored gas operating temperature T of the temperature measuring point, a real-time monitored gas mass flow m of the flow measuring point, a real-time monitored upstream pressure P1 of the gas operating of the upstream pressure measuring point, a real-time monitored downstream pressure P2 of the gas operating of the downstream pressure measuring point, and a valve position correction coefficient β of the monitored through-flow component, n being a natural number; S42, the data processor calculating, at each sampling time point t=t0+nΔt, a state parameter ENUM of the monitored through-flow component, and a flow coefficient Kv and a health degree index parameter y one-to-one corresponding to the state parameter: When the state parameter ENUM = "normal state", wherein, When the state parameter ENUM = "congestion state", S5, judging whether the health degree index parameter y normal or y chocked is in the health degree compliance range: If yes, it indicates that the health degree of the monitored through-flow component meets the standard; If no, it indicates that the health degree of the monitored through-flow component deteriorates.

2. The gas system health monitoring method of claim 1, wherein: When the throat of the monitored through-flow component is variable, the valve position correction coefficient β is acquired in the following manner: A1, in the step S1, a valve position measuring point connected with the monitored through-flow component is configured in the gas system, the valve position measuring point being in communication connection with the data processor; A2. In the step S3, a plurality of valve position monitoring points L of the monitored flow-through component are defined in the data processor N , and each valve position monitoring point L N corresponds to a valve position fluctuation range ΔL N , the monitored flow-through component has a plurality of valve position monitoring point intervals L N ± ΔL N , the health degree meeting range is a plurality of valve position health degree meeting ranges corresponding to each valve position monitoring point interval, and N is a positive integer; A3. In step S41: the data processor further calculates the valve position parameter L of the monitored flow component monitored in real time at each sampling time point t = t0 + nΔt, and the valve position correction coefficient β is: The data processor further judges the valve position monitoring point interval to which the valve position parameter L belongs, if the valve position parameter L does not belong to all the valve position monitoring point intervals L N ± ΔL N , then the step S41 of entering the next sampling period is entered; if the valve position parameter L belongs to a certain valve position monitoring point interval L N ± ΔL N , then the step S42 and the step S5 of entering the sampling period are entered.

3. The gas system health monitoring method of claim 2, wherein: In said step S3, a valve position health degree is also defined in said data processor for each valve position monitoring point L N a one-to-one correspondence of the valve position health degree to the valve position monitoring point L N上 and a valve position health degree compliance allowance lower deviation Δy N下 , said valve position health degree compliance range being [1-Δy N下 , 1+Δy N上 ].

4. The gas system health monitoring method of claim 1, wherein: When the throat of the monitored through-flow component is invariable, the valve position correction coefficient β=1.

5. The gas system health monitoring method of claim 4, wherein: In said step S3, a healthiness compliance upper deviation Ay is defined in said data processor 上 and a healthiness compliance lower deviation Ay 下 , said healthiness compliance range being [1 - Ay 下 , 1 + Ay 上 ].

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