Dynamic alarm threshold value design method and system for gas inlet device of gas turbine
Patent Information
- Application Number
- CN202411957833.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-30
- Publication Date
- 2025-05-06
AI Technical Summary
The existing alarm threshold setting method of gas turbine intake devices fails to fully consider the intake environment and gas turbine operating conditions, resulting in false alarms and missing alarms, and the fault type cannot be determined.
By calculating the theoretical and predicting alarm thresholds of the front and rear pressure difference of the air intake device, combining the resistance coefficient, gas turbine operating conditions, air density, flow rate, fault severity, temperature, humidity and unmeasurable amount influence, KL distance and least squares method fit to determine the upper and lower limits of the alarm value, and adjust the alarm threshold interval in real time.
It greatly reduces the phenomenon of false alarms and missed alarms, provides a basis for fault judgment, and ensures the normal operation of the gas turbine intake device.
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Figure CN119942746A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of ships, and in particular relates to a method, system, electronic equipment and storage medium for designing a dynamic alarm threshold value of an air intake device of a gas turbine. Background Art
[0002] The gas turbine is the core component of the ship's power system. Through the combustion of fuel and oxygen inside the gas turbine, it can provide the ship with huge driving power. Accordingly, in order to ensure the combustion effect of the fuel, the ship is also equipped with a special air intake filter device. The air intake filter device can filter out particulate impurities in the intake air flow and improve the intake quality.
[0003] The air intake status monitoring system is used to monitor and control the working status of each component of the air intake device and parameters such as pressure difference and temperature in real time. When the pressure difference reaches the set value, the air intake emergency bypass device needs to be opened to ensure the air intake flow required for the normal operation of the gas turbine. The existing alarm method mainly sets the pressure difference alarm threshold based on manual experience, and then monitors the pressure difference in real time. When it is found that the parameter is greater than the set threshold, an alarm is immediately issued.
[0004] Obviously, a too low pressure difference threshold will cause the intake emergency bypass device to open prematurely, and the unfiltered intake air will directly enter the gas turbine, causing faults such as gas turbine impeller corrosion, while a too high pressure difference threshold may cause insufficient gas turbine intake, affecting gas turbine efficiency. However, due to the complex intake environment, the existing alarm threshold setting method has not yet considered the impact of factors such as the intake environment and gas turbine operating conditions on the intake pressure difference, resulting in a large number of false alarms and missed alarms in the monitoring system, and the type of fault cannot be determined.
[0005] Therefore, how to provide a dynamic alarm threshold design method, system, electronic equipment and storage medium for a gas turbine intake device has become a technical problem that urgently needs to be solved in this field. Summary of the invention
[0006] The object of the present invention is to provide a method, system, electronic equipment and storage medium for designing a dynamic alarm threshold value of an air intake device of a gas turbine.
[0007] According to a first aspect of the present invention, a dynamic alarm threshold design for a gas turbine air intake device is provided, comprising:
[0008] Step S1, calculating the theoretical alarm threshold of the pressure difference before and after the air intake device according to the resistance coefficient, the gas turbine operating condition coefficient, the air density, the flow rate and the severity of the air intake device failure;
[0009] Step S2, calculating the predicted alarm threshold of the pressure difference before and after the air intake device according to the resistance coefficient, the gas turbine operating condition coefficient, the air density, the flow rate, the severity of the air intake device failure, the temperature influence coefficient, the humidity influence coefficient and the unmeasurable quantity influence coefficient;
[0010] Step S3, calculating the KL distance according to the actual value array of the pressure difference before and after the air intake device and the theoretical alarm threshold of the pressure difference before and after the air intake device; obtaining the alarm value upper limit array and the alarm value lower limit array according to the KL distance; obtaining the alarm value upper limit value and the alarm value lower limit value according to the predicted alarm threshold of the pressure difference before and after the air intake device, the alarm value upper limit array and the alarm value lower limit array;
[0011] Step S4, comparing the predicted alarm threshold of the pressure difference before and after the air intake device with the upper and lower alarm limits to determine whether the air intake device operates normally. If the operation is abnormal, confirm the alarm type.
[0012] According to the method of the first aspect of the present invention, in step S1, the calculating of the theoretical alarm threshold of the pressure difference before and after the air intake device according to the drag coefficient, the gas turbine operating condition coefficient, the air density, the flow rate and the severity of the air intake device fault comprises:
[0013]
[0014] Among them, P 理 It represents the theoretical alarm threshold of the pressure difference before and after the air intake device, δ represents the resistance coefficient, n represents the gas turbine operating condition coefficient, ρ represents the air density, v represents the flow velocity, and η represents the severity of the air intake device fault.
[0015] According to the method of the first aspect of the present invention, in step S2, the calculation of the prediction alarm threshold of the pressure difference before and after the air intake device according to the resistance coefficient, the gas turbine operating condition coefficient, the air density, the flow rate, the severity of the air intake device failure, the temperature influence coefficient, the humidity influence coefficient and the unmeasurable quantity influence coefficient comprises:
[0016]
[0017] Among them, P 理 represents the theoretical alarm threshold of the pressure difference before and after the air intake device, δ represents the resistance coefficient, n represents the gas turbine operating condition coefficient, ρ represents the air density, v represents the flow velocity, η represents the severity of the air intake device failure, and λ T represents the temperature influence coefficient, λ H represents the humidity influence coefficient, λ A Unmeasurable influence coefficient.
[0018] According to the method of the first aspect of the present invention, in step S3, the calculation of the KL distance according to the actual value array of the pressure difference before and after the air intake device and the theoretical alarm threshold of the pressure difference before and after the air intake device includes:
[0019]
[0020] Among them, P 正j Indicates the jth value in the array of actual pressure difference before and after the intake device, P 理j Indicates the theoretical alarm threshold of the pressure difference before and after the intake device, D i represents the i-th value in the KL distance, and T represents the number of arrays corresponding to each gas turbine operating condition in the normal operation database.
[0021] According to the method of the first aspect of the present invention, in step S3, obtaining an alarm value upper limit array and an alarm value lower limit array according to the KL distance includes:
[0022] P 上i =P 理i +D max
[0023] P 下o =P 理o +D min
[0024] Among them, P 上i Represents the i-th value in the alarm value upper limit array, P 理i Indicates the theoretical alarm threshold of the pressure difference before and after the intake device, D max represents the maximum value of KL distance, P 下i Indicates the i-th value in the alarm value lower limit array, D min Indicates the minimum value of KL distance.
[0025] According to the method of the first aspect of the present invention, in step S3, obtaining the upper limit value of the alarm value and the lower limit value of the alarm value according to the predicted alarm threshold value, the upper limit array of the alarm value and the lower limit array of the alarm value of the pressure difference before and after the intake device includes:
[0026] Based on the predicted alarm threshold and alarm upper limit array of the pressure difference before and after the air intake device, the least square method is used for fitting to obtain the alarm upper limit value;
[0027] Based on the predicted alarm threshold and alarm lower limit array of the pressure difference before and after the intake device, the least squares method is used for fitting to obtain the alarm lower limit.
[0028] According to the method of the first aspect of the present invention, in step S4, the predicted alarm threshold of the pressure difference before and after the air intake device is compared with the upper limit value of the alarm value and the lower limit value of the alarm value to determine whether the air intake device operates normally. If the operation is abnormal, confirming the alarm type includes:
[0029] If P 下 ≤P 测 ≤P 上 , the air intake device operates normally without any fault;
[0030] If P 测 <P 下 , then the air intake device is operating abnormally, and the air intake device is damaged and leaking;
[0031] If P 测 >P 上 , then the air intake device operates abnormally and a blockage failure occurs in the air intake device;
[0032] Among them, P 测 Indicates the predicted alarm threshold of the pressure difference before and after the intake device, P 上 Indicates the upper limit of the alarm value, P 下 Indicates the lower limit of the alarm value.
[0033] The second aspect of the present invention discloses a dynamic alarm threshold design system for a gas turbine air intake device; the system comprises:
[0034] The first processing module is configured to calculate a theoretical alarm threshold of a pressure difference before and after the air intake device according to a drag coefficient, a gas turbine operating condition coefficient, air density, flow velocity, and a severity of an air intake device failure;
[0035] The second processing module is configured to calculate the prediction alarm threshold of the pressure difference before and after the air intake device according to the resistance coefficient, the gas turbine operating condition coefficient, the air density, the flow rate, the severity of the air intake device failure, the temperature influence coefficient, the humidity influence coefficient and the unmeasurable quantity influence coefficient;
[0036] The third processing module is configured to calculate the KL distance according to the actual value array of the pressure difference before and after the air intake device and the theoretical alarm threshold of the pressure difference before and after the air intake device; obtain the alarm value upper limit array and the alarm value lower limit array according to the KL distance; obtain the alarm value upper limit value and the alarm value lower limit value according to the predicted alarm threshold of the pressure difference before and after the air intake device, the alarm value upper limit array and the alarm value lower limit array;
[0037] The fourth processing module is configured to compare the predicted alarm threshold of the pressure difference before and after the intake device with the upper and lower alarm limits to determine whether the intake device operates normally, and if the operation is abnormal, confirm the alarm type.
[0038] The third aspect of the present invention discloses an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps in the method for designing a dynamic alarm threshold value of a gas turbine air intake device according to any one of the first aspects of the present disclosure are implemented.
[0039] The fourth aspect of the present invention discloses a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any one of the methods for designing a dynamic alarm threshold of a gas turbine air intake device in the first aspect of the present disclosure.
[0040] The beneficial effects brought by the present invention are as follows:
[0041] It can be seen from the above scheme that the embodiments of the present invention provide a dynamic alarm threshold design method, system, electronic device and storage medium for a gas turbine air intake device, which has the following beneficial effects: fully considering the changes in the gas turbine operating conditions, operating environment, ship driving status, ship structure, air salt content, sand and dust content, etc., and adjusting the changes in the alarm threshold interval in real time through data learning, which greatly reduces the phenomenon of false alarms and missed alarms; and provides a basis for fault judgment. BRIEF DESCRIPTION OF THE DRAWINGS
[0042] Figure 1 A flow chart of a method for designing a dynamic alarm threshold value of an air intake device of a gas turbine according to an embodiment;
[0043] Figure 2 A schematic diagram of upper and lower limits of alarm thresholds provided according to an embodiment;
[0044] Figure 3 A schematic diagram of an alarm area provided according to an embodiment;
[0045] Figure 4 A structural diagram of a dynamic alarm threshold design system for a gas turbine air intake device according to an embodiment of the present invention;
[0046] Figure 5 The figure is a structural diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION
[0047] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all 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.
[0048] Embodiment 1:
[0049] According to a first aspect of the present invention, the present invention discloses a method for designing a dynamic alarm threshold value of an air intake device of a gas turbine. Figure 1 FIG. 1 is a flow chart of a method for designing a dynamic alarm threshold value of a gas turbine air intake device according to an embodiment of the present invention. Figure 1 As shown, the method includes:
[0050] Step S1, calculating the theoretical alarm threshold of the pressure difference before and after the air intake device according to the resistance coefficient, the gas turbine operating condition coefficient, the air density, the flow rate and the severity of the air intake device failure;
[0051] Step S2, calculating the predicted alarm threshold of the pressure difference before and after the air intake device according to the resistance coefficient, the gas turbine operating condition coefficient, the air density, the flow rate, the severity of the air intake device failure, the temperature influence coefficient, the humidity influence coefficient and the unmeasurable quantity influence coefficient;
[0052] Step S3, calculating the KL distance according to the actual value array of the pressure difference before and after the air intake device and the theoretical alarm threshold of the pressure difference before and after the air intake device; obtaining the alarm value upper limit array and the alarm value lower limit array according to the KL distance; obtaining the alarm value upper limit value and the alarm value lower limit value according to the predicted alarm threshold of the pressure difference before and after the air intake device, the alarm value upper limit array and the alarm value lower limit array;
[0053] Step S4, comparing the predicted alarm threshold of the pressure difference before and after the air intake device with the upper and lower alarm limits to determine whether the air intake device operates normally. If the operation is abnormal, confirm the alarm type.
[0054] In step S1, the theoretical alarm threshold of the pressure difference before and after the air intake device is calculated according to the resistance coefficient, the gas turbine operating condition coefficient, the air density, the flow rate and the severity of the air intake device failure.
[0055] In some embodiments, in step S1, the calculating of the theoretical alarm threshold of the pressure difference before and after the air intake device according to the drag coefficient, the gas turbine operating condition coefficient, the air density, the flow rate and the severity of the air intake device failure comprises:
[0056]
[0057] Among them, P 理 It represents the theoretical alarm threshold of the pressure difference before and after the air intake device, δ represents the resistance coefficient, n represents the gas turbine operating condition coefficient, ρ represents the air density, v represents the flow velocity, and η represents the severity of the air intake device fault.
[0058] Specifically, the following four aspects affect the alarm threshold of the pressure difference before and after the air intake device:
[0059] 1) Gas turbine operating condition n;
[0060] 2) Ship operating environment parameters: mainly including temperature, humidity, air velocity, etc.;
[0061] 3) Ship driving status: mainly including running stability, wind direction, driving angle, etc.;
[0062] 4) Other influencing factors, such as ship structure, air salt content, sand and dust content, etc.
[0063] Based on the above factors, a prediction model for the alarm threshold of the ship air intake device is established. First, the above influencing factors are divided into two parts, measurable values and unmeasurable values, which are as follows:
[0064] The measurable quantities mainly include the gas turbine operating condition n, the operating environment temperature T 测 、Humidity 测 , flow velocity v;
[0065] Unmeasurable quantities mainly include the ship's driving status (running stability, wind direction, driving angle, etc.) and other influencing factors (ship structure, air salt content, sand and dust content, etc.);
[0066] 1) The pressure difference before and after the air intake device is collected through sensors such as pressure difference sensor, temperature sensor, humidity sensor, etc.
[0067] P 测 and the temperature T of the operating environment of the air intake device 测 、Humidity 测 , flow velocity v;
[0068] 2) Obtain the gas turbine operating condition n through the gas turbine monitoring system. Generally, the value range is 0 to 1.
[0069] In step S2, the predicted alarm threshold of the pressure difference before and after the air intake device is calculated based on the resistance coefficient, the gas turbine operating condition coefficient, the air density, the flow rate, the severity of the air intake device failure, the temperature influence coefficient, the humidity influence coefficient and the unmeasurable quantity influence coefficient.
[0070] In some embodiments, in step S2, the calculation of the prediction alarm threshold of the pressure difference before and after the air intake device according to the resistance coefficient, the gas turbine operating condition coefficient, the air density, the flow rate, the severity of the air intake device failure, the temperature influence coefficient, the humidity influence coefficient and the unmeasurable influence coefficient comprises:
[0071]
[0072] Among them, P 理represents the theoretical alarm threshold of the pressure difference before and after the air intake device, δ represents the resistance coefficient, n represents the gas turbine operating condition coefficient, ρ represents the air density, v represents the flow velocity, η represents the severity of the air intake device failure, and λ T represents the temperature influence coefficient, λ H represents the humidity influence coefficient, λ A Unmeasurable influence coefficient.
[0073] In step S3, if Figure 2 As shown, the KL distance is calculated based on the actual value array of the pressure difference before and after the intake device and the theoretical alarm threshold of the pressure difference before and after the intake device; the alarm value upper limit array and the alarm value lower limit array are obtained based on the KL distance; the alarm value upper limit value and the alarm value lower limit value are obtained based on the predicted alarm threshold of the pressure difference before and after the intake device, the alarm value upper limit array and the alarm value lower limit array.
[0074] In some embodiments, in step S3, calculating the KL distance according to the actual value array of the front and rear pressure difference of the air intake device and the theoretical alarm threshold of the front and rear pressure difference of the air intake device includes:
[0075]
[0076] Among them, P 正j Indicates the jth value in the array of actual pressure difference before and after the intake device, P 理j Indicates the theoretical alarm threshold of the pressure difference before and after the intake device, D i represents the i-th value in the KL distance, and T represents the number of arrays corresponding to each gas turbine operating condition in the normal operation database.
[0077] The step of obtaining an alarm value upper limit array and an alarm value lower limit array according to the KL distance includes:
[0078] P 上i =P 理i +D max
[0079] P 下i =P 理i +D min
[0080] Among them, P 上i Represents the i-th value in the alarm value upper limit array, P 理i Indicates the theoretical alarm threshold of the pressure difference before and after the intake device, D max represents the maximum value of KL distance, P 下i Indicates the i-th value in the alarm value lower limit array, D min Indicates the minimum value of KL distance.
[0081] The prediction alarm threshold, the alarm value upper limit array and the alarm value lower limit array according to the pressure difference before and after the air intake device are used to obtain the alarm value upper limit value and the alarm value lower limit value, including:
[0082] Based on the predicted alarm threshold and alarm upper limit array of the pressure difference before and after the air intake device, the least square method is used for fitting to obtain the alarm upper limit value;
[0083] Based on the predicted alarm threshold and alarm lower limit array of the pressure difference before and after the intake device, the least squares method is used for fitting to obtain the alarm lower limit.
[0084] Specifically, based on the predicted alarm threshold of the pressure difference before and after the air intake device, the upper and lower boundaries of the alarm threshold of the pressure difference before and after the air intake device under various working conditions are determined. The data is classified and preprocessed, and the shutdown state or other abnormal data points are eliminated. The pressure difference before and after the air intake device of the normal operation database is classified into an array that changes with the working conditions of the gas turbine.
[0085] The data of the abnormal operation database are used to calibrate the function fitted by the least square method to ensure that the abnormal operation data are outside the upper and lower limits of the alarm threshold.
[0086] In step S4, if Figure 3 As shown, the predicted alarm threshold of the pressure difference before and after the air intake device is compared with the upper and lower alarm limits to determine whether the air intake device is operating normally. If the operation is abnormal, the alarm type is confirmed.
[0087] In some embodiments, in step S4, the predicted alarm threshold of the pressure difference before and after the air intake device is compared with the upper limit value of the alarm value and the lower limit value of the alarm value to determine whether the air intake device operates normally. If the operation is abnormal, confirming the alarm type includes:
[0088] If P 下 ≤P 测 ≤P 上 , the air intake device operates normally without fault, and stores the normal data in the normal operation database;
[0089] If P 测 <P 下 , the air intake device operates abnormally, the air intake device is damaged and leaks, and the data is stored in the abnormal database low pressure difference alarm database;
[0090] If P 测 >P 上 , the air intake device operates abnormally, a blockage fault occurs in the air intake device, and the data is stored in the abnormal database high pressure difference alarm database;
[0091] Among them, P 测 Indicates the predicted alarm threshold of the pressure difference before and after the intake device, P上 Indicates the upper limit of the alarm value, P 下 Indicates the lower limit of the alarm value.
[0092] In summary, the solution proposed in the present invention can fully consider the changes in the gas turbine operating conditions, operating environment, ship driving status, ship structure, air salt content, sand and dust content, etc., and adjust the changes in the alarm threshold range in real time through data learning, which greatly reduces the phenomenon of false alarms and missed alarms; and provides a basis for fault judgment.
[0093] Embodiment 2:
[0094] The invention discloses a dynamic alarm threshold design system for a gas turbine air intake device. Figure 4 FIG. 1 is a structural diagram of a dynamic alarm threshold design system for a gas turbine air intake device according to an embodiment of the present invention; Figure 4 As shown, the system 100 includes:
[0095] The first processing module 101 is configured to calculate a theoretical alarm threshold of a pressure difference before and after the air intake device according to a drag coefficient, a gas turbine operating condition coefficient, air density, flow velocity, and a severity of an air intake device failure;
[0096] The second processing module 102 is configured to calculate the prediction alarm threshold of the pressure difference before and after the air intake device according to the resistance coefficient, the gas turbine operating condition coefficient, the air density, the flow rate, the severity of the air intake device failure, the temperature influence coefficient, the humidity influence coefficient and the unmeasurable influence coefficient;
[0097] The third processing module 103 is configured to calculate the KL distance according to the actual value array of the pressure difference before and after the air intake device and the theoretical alarm threshold of the pressure difference before and after the air intake device; obtain the alarm value upper limit array and the alarm value lower limit array according to the KL distance; obtain the alarm value upper limit value and the alarm value lower limit value according to the predicted alarm threshold of the pressure difference before and after the air intake device, the alarm value upper limit array and the alarm value lower limit array;
[0098] The fourth processing module 104 is configured to compare the predicted alarm threshold of the pressure difference before and after the air intake device with the alarm value upper limit and the alarm value lower limit to determine whether the air intake device operates normally, and if the operation is abnormal, confirm the alarm type.
[0099] According to the system of the second aspect of the present invention, the first processing module 101 is specifically configured as follows: the theoretical alarm threshold of the pressure difference before and after the air intake device is calculated according to the drag coefficient, the gas turbine operating condition coefficient, the air density, the flow rate and the severity of the air intake device failure, including:
[0100]
[0101] Among them, P 理 It represents the theoretical alarm threshold of the pressure difference before and after the air intake device, δ represents the resistance coefficient, n represents the gas turbine operating condition coefficient, ρ represents the air density, v represents the flow velocity, and η represents the severity of the air intake device fault.
[0102] Specifically, the following four aspects affect the alarm threshold of the pressure difference before and after the air intake device:
[0103] 5) Gas turbine operating condition n;
[0104] 6) Ship operating environment parameters: mainly including temperature, humidity, air flow rate, etc.;
[0105] 7) Ship driving status: mainly including running stability, wind direction, driving angle, etc.;
[0106] 8) Other influencing factors, such as ship structure, air salt content, sand and dust content, etc.
[0107] Based on the above factors, a prediction model for the alarm threshold of the ship air intake device is established. First, the above influencing factors are divided into two parts, measurable values and unmeasurable values, which are as follows:
[0108] The measurable quantities mainly include the gas turbine operating condition n, the operating environment temperature T 测 、Humidity 测 , flow velocity v;
[0109] Unmeasurable quantities mainly include the ship's driving status (running stability, wind direction, driving angle, etc.) and other influencing factors (ship structure, air salt content, sand and dust content, etc.);
[0110] 3) The pressure difference before and after the air intake device is collected through sensors such as pressure difference sensor, temperature sensor, humidity sensor, etc.
[0111] P 测 and the temperature T of the operating environment of the air intake device 测 、Humidity 测 , flow velocity v;
[0112] The gas turbine operating condition n is obtained through the gas turbine monitoring system. Generally, the value range is 0 to 1.
[0113] According to the system of the second aspect of the present invention, the second processing module 102 is specifically configured to calculate the prediction alarm threshold of the pressure difference before and after the air intake device according to the resistance coefficient, the gas turbine operating condition coefficient, the air density, the flow rate, the severity of the air intake device failure, the temperature influence coefficient, the humidity influence coefficient and the unmeasurable quantity influence coefficient, including:
[0114]
[0115] Among them, P 理 represents the theoretical alarm threshold of the pressure difference before and after the air intake device, δ represents the resistance coefficient, n represents the gas turbine operating condition coefficient, ρ represents the air density, v represents the flow velocity, η represents the severity of the air intake device failure, and λ T represents the temperature influence coefficient, λ H represents the humidity influence coefficient, λ A Unmeasurable influence coefficient.
[0116] According to the system of the second aspect of the present invention, the third processing module 103 is specifically configured to calculate the KL distance according to the actual value array of the pressure difference before and after the intake device and the theoretical alarm threshold of the pressure difference before and after the intake device, including:
[0117]
[0118] Among them, P 正j Indicates the jth value in the array of actual pressure difference before and after the intake device, P 理j Indicates the theoretical alarm threshold of the pressure difference before and after the intake device, D i represents the i-th value in the KL distance, and T represents the number of arrays corresponding to each gas turbine operating condition in the normal operation database.
[0119] The step of obtaining an alarm value upper limit array and an alarm value lower limit array according to the KL distance includes:
[0120] P 上i =P 理i +D max
[0121] P 下i =P 理i +D min
[0122] Among them, P 上i Represents the i-th value in the alarm value upper limit array, P 理i Indicates the theoretical alarm threshold of the pressure difference before and after the intake device, D max Indicates the maximum value of KL distance, P 下i Indicates the i-th value in the alarm value lower limit array, D min Indicates the minimum value of KL distance.
[0123] The prediction alarm threshold, the alarm value upper limit array and the alarm value lower limit array according to the pressure difference before and after the air intake device are used to obtain the alarm value upper limit value and the alarm value lower limit value, including:
[0124] Based on the predicted alarm threshold and alarm upper limit array of the pressure difference before and after the air intake device, the least square method is used for fitting to obtain the alarm upper limit value;
[0125] Based on the predicted alarm threshold and alarm lower limit array of the pressure difference before and after the intake device, the least squares method is used for fitting to obtain the alarm lower limit.
[0126] Specifically, based on the predicted alarm threshold of the pressure difference before and after the air intake device, the upper and lower boundaries of the alarm threshold of the pressure difference before and after the air intake device under various working conditions are determined. The data is classified and preprocessed, and the shutdown state or other abnormal data points are eliminated. The pressure difference before and after the air intake device of the normal operation database is classified into an array that changes with the working conditions of the gas turbine.
[0127] The data of the abnormal operation database are used to calibrate the function fitted by the least square method to ensure that the abnormal operation data are outside the upper and lower limits of the alarm threshold.
[0128] According to the system of the second aspect of the present invention, the fourth processing module 104 is specifically configured to compare the predicted alarm threshold of the pressure difference before and after the air intake device with the alarm value upper limit value and the alarm value lower limit value to determine whether the air intake device operates normally. If the operation is abnormal, confirming the alarm type includes:
[0129] If P 下 ≤P 测 ≤P 上 , the air intake device operates normally without fault, and stores the normal data in the normal operation database;
[0130] If P 测 <P 下 , the air intake device operates abnormally, the air intake device is damaged and leaks, and the data is stored in the abnormal database low pressure difference alarm database;
[0131] If P 测 >P 上 , the air intake device operates abnormally, a blockage fault occurs in the air intake device, and the data is stored in the abnormal database high pressure difference alarm database;
[0132] Among them, P 测 Indicates the predicted alarm threshold of the pressure difference before and after the intake device, P 上 Indicates the upper limit of the alarm value, P 下 Indicates the lower limit of the alarm value.
[0133] Embodiment 3:
[0134] The present application discloses an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps in the method for designing a dynamic alarm threshold value of a gas turbine air intake device in any one of the embodiments 1 disclosed in the present invention are implemented.
[0135] Figure 5 is a structural diagram of an electronic device according to an embodiment of the present invention, such as Figure 5 As shown, the electronic device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the electronic device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, near field communication (NFC) or other technologies. The display screen of the electronic device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic device can be a touch layer covered on the display screen, or a button, a trackball or a touch pad set on the housing of the electronic device, or an external keyboard, touch pad or mouse, etc.
[0136] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a structural diagram of the part related to the technical solution of the present disclosure, and does not constitute a limitation on the electronic device to which the technical solution of the present application is applied. The specific electronic device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.
[0137] Embodiment 4:
[0138] The present invention discloses a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of a method for designing a dynamic alarm threshold value of a gas turbine air intake device in any one of the embodiments 1 of the present invention are implemented.
[0139] Please note that the technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification. The above embodiments only express several implementation methods of the present application, and their descriptions are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that for ordinary technicians in this field, without departing from the concept of the present application, several variations and improvements can be made, which all belong to the scope of protection of the present application. Therefore, the scope of protection of the patent in this application shall be based on the attached claims.
[0140] The embodiments of the subject matter and functional operations described in this specification may be implemented in the following: digital electronic circuits, tangibly embodied computer software or firmware, computer hardware including the structures disclosed in this specification and their structural equivalents, or a combination of one or more of them. The embodiments of the subject matter described in this specification may be implemented as one or more computer programs, i.e., one or more modules in computer program instructions encoded on a tangible non-temporary program carrier to be executed by a data processing device or to control the operation of the data processing device. Alternatively or additionally, the program instructions may be encoded on an artificially generated propagation signal, such as a machine-generated electrical, optical or electromagnetic signal, which is generated to encode information and transmit it to a suitable receiver device for execution by a data processing device. The computer storage medium may be a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or a combination of one or more of them.
[0141] The processes and logic flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform corresponding functions by operating on input data and generating output. The processes and logic flows can also be performed by special purpose logic circuits, such as FPGAs (field programmable gate arrays) or ASICs (application-specific integrated circuits), and the apparatus can also be implemented as special purpose logic circuits.
[0142] Computers suitable for executing computer programs include, for example, general and / or special microprocessors, or any other type of central processing unit. Typically, the central processing unit will receive instructions and data from a read-only memory and / or a random access memory. The basic components of a computer include a central processing unit for implementing or executing instructions and one or more memory devices for storing instructions and data. Typically, the computer will also include one or more large-capacity storage devices for storing data, such as magnetic disks, magneto-optical disks, or optical disks, or the computer will be operably coupled to this large-capacity storage device to receive data from it or to transmit data to it, or both. However, the computer does not necessarily have such a device. In addition, the computer can be embedded in another device, such as a mobile phone, a personal digital assistant (PDA), a mobile audio or video player, a game console, a global positioning system (GPS) receiver, or a portable storage device such as a universal serial bus (USB) flash drive, to name a few.
[0143] Computer readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media and memory devices, including, for example, semiconductor memory devices (e.g., EPROM, EEPROM and flash memory devices), magnetic disks (e.g., internal hard disks or removable disks), magneto-optical disks, and CD ROM and DVD-ROM disks. The processor and memory may be supplemented by, or incorporated in, special purpose logic circuitry.
[0144] Although this specification includes many specific implementation details, these should not be interpreted as limiting the scope of any invention or the scope of protection claimed, but are mainly used to describe the features of the specific embodiments of specific inventions. Certain features described in multiple embodiments in this specification may also be implemented in combination in a single embodiment. On the other hand, the various features described in a single embodiment may also be implemented separately in multiple embodiments or in any suitable sub-combination. In addition, although features may work in certain combinations as described above and even initially claim protection, one or more features from the claimed combination may be removed from the combination in some cases, and the claimed combination may point to a sub-combination or a variation of a sub-combination.
[0145] Similarly, although operations are depicted in a particular order in the accompanying drawings, this should not be understood as requiring that these operations be performed in the particular order shown or performed sequentially, or requiring that all illustrated operations be performed to achieve the desired results. In some cases, multitasking and parallel processing may be advantageous. In addition, the separation of various system modules and components in the above-described embodiments should not be understood as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product, or packaged into multiple software products.
[0146] Thus, specific embodiments of the subject matter have been described. Other embodiments are within the scope of the appended claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the particular order or sequential order shown to achieve the desired results. In some implementations, multitasking and parallel processing may be advantageous.
[0147] The above are preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.
Claims
1. A method for designing a dynamic alarm threshold of a gas turbine air intake device, characterized in that: include: Step S1, calculating the theoretical alarm threshold of the pressure difference before and after the air intake device according to the resistance coefficient, the gas turbine operating condition coefficient, the air density, the flow rate and the severity of the air intake device failure; Step S2, calculating the predicted alarm threshold of the pressure difference before and after the air intake device according to the resistance coefficient, the gas turbine operating condition coefficient, the air density, the flow velocity, the severity of the air intake device failure, the temperature influence coefficient, the humidity influence coefficient and the unmeasurable influence coefficient; Step S3, calculating the KL distance according to the actual value array of the pressure difference before and after the air intake device and the theoretical alarm threshold of the pressure difference before and after the air intake device; obtaining the alarm value upper limit array and the alarm value lower limit array according to the KL distance; obtaining the alarm value upper limit value and the alarm value lower limit value according to the predicted alarm threshold of the pressure difference before and after the air intake device, the alarm value upper limit array and the alarm value lower limit array; Step S4, comparing the predicted alarm threshold of the pressure difference before and after the air intake device with the upper and lower alarm limits to determine whether the air intake device operates normally. If the operation is abnormal, confirm the alarm type.
2. The method for designing a dynamic alarm threshold of a gas turbine air intake device according to claim 1, characterized in that: In the step S1, the calculation of the theoretical alarm threshold of the pressure difference before and after the air intake device according to the drag coefficient, the gas turbine operating condition coefficient, the air density, the flow rate and the severity of the air intake device fault includes: Among them, P 理 It represents the theoretical alarm threshold of the pressure difference before and after the air intake device, δ represents the resistance coefficient, n represents the gas turbine operating condition coefficient, ρ represents the air density, v represents the flow velocity, and η represents the severity of the air intake device fault.
3. The method for designing a dynamic alarm threshold of a gas turbine air intake device according to claim 1, characterized in that: In step S2, the calculation of the prediction alarm threshold of the pressure difference before and after the air intake device according to the resistance coefficient, the gas turbine operating condition coefficient, the air density, the flow rate, the severity of the air intake device failure, the temperature influence coefficient, the humidity influence coefficient and the unmeasurable influence coefficient includes: Among them, δ represents the resistance coefficient, n represents the gas turbine operating condition coefficient, ρ represents the air density, v represents the flow velocity, η represents the severity of the intake device failure, and λ T represents the temperature influence coefficient, λ H represents the humidity influence coefficient, λ A Unmeasurable influence coefficient.
4. The method for designing a dynamic alarm threshold of a gas turbine air intake device according to claim 1, characterized in that: In the step S3, the calculation of the KL distance according to the actual value array of the pressure difference before and after the air intake device and the theoretical alarm threshold of the pressure difference before and after the air intake device includes: Among them, P 正j Indicates the jth value in the array of actual pressure difference before and after the intake device, P 理j Indicates the theoretical alarm threshold of the pressure difference before and after the intake device, D i represents the i-th value in the KL distance, and T represents the number of arrays corresponding to each gas turbine operating condition in the normal operation database.
5. The method for designing a dynamic alarm threshold of a gas turbine air intake device according to claim 1, characterized in that: In step S3, obtaining an alarm value upper limit array and an alarm value lower limit array according to the KL distance includes: P 上i =P 理i +D max P 下i =P 理i +D min Among them, P 上i Represents the i-th value in the alarm value upper limit array, P 理i Indicates the theoretical alarm threshold of the pressure difference before and after the intake device, D max represents the maximum value of KL distance, P 下i Indicates the i-th value in the alarm value lower limit array, D min Indicates the minimum value of KL distance.
6. The method for designing a dynamic alarm threshold of a gas turbine air intake device according to claim 1, characterized in that: In the step S3, obtaining the upper limit value of the alarm value and the lower limit value of the alarm value according to the predicted alarm threshold value, the upper limit array of the alarm value and the lower limit array of the alarm value of the front and rear pressure difference of the air intake device includes: Based on the predicted alarm threshold and alarm upper limit array of the pressure difference before and after the air intake device, the least square method is used for fitting to obtain the alarm upper limit value; Based on the predicted alarm threshold and alarm lower limit array of the pressure difference before and after the intake device, the least squares method is used for fitting to obtain the alarm lower limit.
7. The method for designing a dynamic alarm threshold of a gas turbine air intake device according to claim 1, characterized in that: In step S4, the predicted alarm threshold of the pressure difference before and after the air intake device is compared with the upper and lower alarm limits to determine whether the air intake device is operating normally. If the operation is abnormal, the alarm type is confirmed to include: If P 下 ≤P 测 ≤P 上 , the air intake device operates normally without any fault; If P 测 <P 下 , then the air intake device is operating abnormally, and the air intake device is damaged and leaking; If P 测 >P 上 , then the air intake device operates abnormally and a blockage failure occurs in the air intake device; Among them, P 测 Indicates the predicted alarm threshold of the pressure difference before and after the intake device, P 上 Indicates the upper limit of the alarm value, P 下 Indicates the lower limit of the alarm value.
8. A dynamic alarm threshold design system for a gas turbine air intake device, characterized in that: The system comprises: The first processing module is configured to calculate a theoretical alarm threshold of a pressure difference before and after the air intake device according to a drag coefficient, a gas turbine operating condition coefficient, air density, flow velocity, and a severity of an air intake device failure; The second processing module is configured to calculate the prediction alarm threshold of the pressure difference before and after the air intake device according to the resistance coefficient, the gas turbine operating condition coefficient, the air density, the flow rate, the severity of the air intake device failure, the temperature influence coefficient, the humidity influence coefficient and the unmeasurable quantity influence coefficient; The third processing module is configured to calculate the KL distance according to the actual value array of the pressure difference before and after the air intake device and the theoretical alarm threshold of the pressure difference before and after the air intake device; obtain the alarm value upper limit array and the alarm value lower limit array according to the KL distance; obtain the alarm value upper limit value and the alarm value lower limit value according to the predicted alarm threshold of the pressure difference before and after the air intake device, the alarm value upper limit array and the alarm value lower limit array; The fourth processing module is configured to compare the predicted alarm threshold of the pressure difference before and after the intake device with the upper and lower alarm limits to determine whether the intake device operates normally, and if the operation is abnormal, confirm the alarm type.
9. An electronic device, characterized in that: The electronic device includes a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, the steps in the method for designing a dynamic alarm threshold value of a gas turbine air intake device according to any one of claims 1 to 7 are implemented.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the method for designing a dynamic alarm threshold value of a gas turbine air intake device according to any one of claims 1 to 7 are implemented.