Monitoring system for gas turbine static frequency conversion dragging switching device

Abstract

The invention relates to the technical field of gas turbine static frequency conversion, in particular to a monitoring system for a gas turbine static frequency conversion dragging switching device. Comprising a central control unit used for establishing a plurality of monitoring points according to equipment parameters and generating a standard operation curve of each monitoring point; the data acquisition unit comprises a plurality of monitoring sub-modules, and the data acquisition unit is used for acquiring real-time operation parameters of each monitoring point; the fault unit is used for recording and storing historical fault data of each monitoring point and establishing a fault database; a central control unit is additionally arranged, and a plurality of monitoring points are set based on equipment parameters, so that the gas turbine static frequency conversion dragging switching device is comprehensively monitored, the potential fault risk of the equipment is early warned in time, and when a fault occurs, the type of the fault is automatically recorded, and the cause of the fault and a maintenance method are provided. Therefore, maintainers can solve faults as soon as possible according to prompts.

Description

Technical Field

[0001] The present application relates to the technical field of static frequency conversion of gas turbines, and in particular to a monitoring system for a static frequency conversion traction switching device of a gas turbine. Background Art

[0002] Tongxiang gas turbine variable frequency drive device is imported from ABB, and each gas turbine is equipped with one set. At the beginning of the design, in order to improve the reliability of gas turbine startup, a set of logic switching disk device was added to realize the cross-start of two sets of variable frequency drive devices. The logic switching disk is mainly composed of PLC, relay unit, knife switch switching device, etc., which is responsible for the signal interaction of the excitation system, gas turbine control system TCS, and gas turbine variable frequency drive device.

[0003] Since the logic switching device cannot grasp the operating status of the equipment in real time, the failure rate gradually increases with the increase of the operating years of the unit. It is mainly manifested in: the position status is lost during the switching process, resulting in startup failure, and it is impossible to make an intuitive judgment on the fault, which brings difficulties to subsequent processing. Summary of the invention

[0004] The purpose of this application is: to solve the above-mentioned technical problems, this application provides a monitoring system for a static variable frequency traction switching device of a gas turbine, aiming to realize monitoring, early warning and fault diagnosis of the static variable frequency traction switching device of a gas turbine.

[0005] In some embodiments of the present application, by adding a central control unit and setting multiple monitoring points based on equipment parameters, the static variable frequency drive switching device of the gas turbine is comprehensively monitored, and the potential failure risk of the equipment is timely warned. When a failure occurs, not only the type of failure is automatically recorded, but also the cause of the failure and the maintenance method are given, so that maintenance personnel can solve the failure as soon as possible according to the prompt.

[0006] In some embodiments of the present application, the monitoring system adopts a redundant design, and the controller power supply, CPU module, IO module, and communication module all adopt a redundant design scheme of hot standby switching to improve the reliability of the equipment. At the same time, a fault diagnosis module is added to analyze and judge abnormal records to improve the maintenance efficiency.

[0007] In some embodiments of the present application, a monitoring system for a static variable frequency drive switching device of a gas turbine is provided, comprising:

[0008] The central control unit is used to establish multiple monitoring points according to equipment parameters and generate standard operating curves for each monitoring point;

[0009] A data acquisition unit, comprising a plurality of monitoring submodules, wherein the data acquisition unit is used to collect real-time operating parameters of each monitoring point;

[0010] Fault unit, used to record and store historical fault data of each monitoring point and establish a fault database;

[0011] The central control unit comprises:

[0012] The first processing module is used to set the monitoring submodules of each monitoring point and set the data acquisition parameters of each monitoring submodule;

[0013] The first processing module is also used to generate a monitoring operation curve for each monitoring point according to the real-time operation parameters;

[0014] An association module is used to establish an association relationship table between various monitoring points according to a preset association model;

[0015] The early warning module is used to generate a fault risk value for each monitoring point and determine whether to generate an early warning instruction based on the fault risk value.

[0016] In some embodiments of the present application, the central control unit further includes:

[0017] A fault diagnosis module, when there is a warning instruction, the fault diagnosis module generates a fault message according to the operation monitoring curve;

[0018] The interactive module is used to generate display parameters of each monitoring point based on all monitoring operation curves.

[0019] In some embodiments of the present application, the first processing module is further used to:

[0020] Establish a monitoring point sequence A, A = (a1, a2...an), where ai is the i-th monitoring point and n is the monitoring point;

[0021] Establish monitoring point-monitoring submodule mapping table;

[0022] Select the target monitoring points in sequence according to the monitoring point sequence A;

[0023] Select the target monitoring submodule according to the target monitoring point and the monitoring point-monitoring submodule mapping table;

[0024] Set the feedback time node and single acquisition duration of the target monitoring submodule;

[0025] Obtain the real-time operating parameters collected by the target monitoring submodule, and generate sub-monitoring curves of the target monitoring point at each feedback time node;

[0026] A monitoring operation curve of the target monitoring point is established based on all sub-monitoring curves.

[0027] In some embodiments of the present application, the early warning module is also used to:

[0028] Obtain all sub-monitoring curves of the target monitoring point between the last maintenance time node and the current feedback time node;

[0029] Establish a sub-monitoring curve function series F, F = (f1, f2...f m ), where m is the number of sub-monitoring curves between the last maintenance time node and the current feedback time node, and f i is the functional relationship corresponding to the sub-monitoring curve of the i-th feedback time node after the previous maintenance time node;

[0030] Generate a fault evaluation value h of the target monitoring point;

[0031] If the fault evaluation value h is greater than the preset fault evaluation value threshold, an early warning instruction for the target monitoring point is generated.

[0032] In some embodiments of the present application, when generating the fault evaluation value h of the target monitoring point, it includes:

[0033]

[0034] Where, (i = 2, 3 ... m);

[0035] h=e*g;

[0036] Among them, e is the compensation coefficient, g is the early warning evaluation value; Q1 is the first fixed coefficient, Q2 is the second fixed coefficient; Q3 is the third fixed coefficient; t is the single collection time of the target monitoring point; Δf is the functional relationship corresponding to the standard operation curve of the target monitoring point; ci is the operation evaluation value corresponding to the i-th sub-monitoring curve; Δc is the average of all operation evaluation values ​​between the last maintenance time node and the current feedback time node; Y(x) is the selection coefficient, if Ki is greater than zero, Y(x)=1; if Ki is less than zero, Y(x)=0.

[0037] In some embodiments of the present application, the early warning module is also used to:

[0038] Obtain the early warning evaluation value g of the target monitoring point;

[0039] Preset the first warning evaluation value threshold G1;

[0040] If g<G1, set the compensation coefficient e=1;

[0041] If g>G1, obtain all associated monitoring points of the target monitoring point according to the association relationship table, and obtain the early warning evaluation value of each associated monitoring point;

[0042] Generate a revised evaluation value k of the target monitoring point according to the early warning evaluation values ​​of all associated monitoring points;

[0043]

[0044] Among them, gi is the warning evaluation value of the i-th associated monitoring point at the current time node; βi is the impact factor of the i-th associated monitoring point; n1 is the number of associated monitoring points of the target monitoring point;

[0045] The compensation coefficient e is set according to the corrected evaluation value k.

[0046] In some embodiments of the present application, when the compensation coefficient e is set according to the modified evaluation value k, it includes:

[0047] Presetting a first modified evaluation value interval (K1, K2), a second modified evaluation value interval (K2, K3) and a third modified evaluation value interval (K3, K4);

[0048] If the corrected evaluation value k is within the preset first corrected evaluation value interval, the compensation coefficient e is set to the preset first compensation coefficient e1, that is, e=e1;

[0049] If the corrected evaluation value k is within the preset second corrected evaluation value interval, the compensation coefficient e is set to the preset second compensation coefficient e2, that is, e=e2;

[0050] If the modified evaluation value k is in the preset third modified evaluation value interval, the compensation coefficient e is set to the preset first compensation coefficient e3, that is, e=e3; and 1<e1<e2<e3.

[0051] In some embodiments of the present application, the fault diagnosis module is also used to:

[0052] If there is an early warning instruction at the target monitoring point;

[0053] Obtain all sub-monitoring curves between the last maintenance time node and the current feedback time node of the target monitoring point;

[0054] Extract the fault signal and generate the fault message of the target monitoring point based on the comparison result between the fault signal and all fault types in the fault database;

[0055] The fault message includes:

[0056] Fault type, fault cause, fault repair method and fault reset record of the target monitoring point.

[0057] In some embodiments of the present application, the fault unit includes:

[0058] The second processing module is used to obtain the fault message of each monitoring point and generate a sub-storage data packet;

[0059] A storage module, used to store all sub-storage data packets and set storage parameters of each sub-storage data packet;

[0060] The third processing module establishes a fault database according to all sub-storage data packets in the storage module.

[0061] Compared with the prior art, the monitoring system for a static variable frequency drive switching device of a gas turbine in the embodiment of the present application has the following beneficial effects:

[0062] By adding a central control unit and setting multiple monitoring points based on equipment parameters, the static variable frequency drive switching device of the gas turbine can be fully monitored, and the potential failure risk of the equipment can be warned in time. When a failure occurs, it will not only automatically record the type of failure, but also give the cause of the failure and maintenance method, so that maintenance personnel can solve the failure as soon as possible according to the prompts.

[0063] The monitoring system adopts a redundant design. The controller power supply, CPU module, IO module, and communication module all adopt a hot standby switching redundant design to improve equipment reliability. At the same time, the fault diagnosis module is added to analyze and judge abnormal records to improve maintenance efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 It is a structural schematic diagram of a monitoring system for a static variable frequency drive switching device of a gas turbine in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0065] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0066] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0067] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0068] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0069] like Figure 1 As shown, a monitoring system for a static variable frequency drive switching device of a gas turbine according to a preferred embodiment of the present application includes:

[0070] The central control unit is used to establish multiple monitoring points according to equipment parameters and generate standard operating curves for each monitoring point;

[0071] A data acquisition unit, including multiple monitoring submodules, is used to collect real-time operating parameters of each monitoring point;

[0072] Fault unit, used to record and store historical fault data of each monitoring point and establish a fault database;

[0073] The central control unit includes:

[0074] The first processing module is used to set the monitoring submodules of each monitoring point and set the data acquisition parameters of each monitoring submodule;

[0075] The first processing module is also used to generate a monitoring operation curve for each monitoring point according to the real-time operation parameters;

[0076] An association module is used to establish an association relationship table between various monitoring points according to a preset association model;

[0077] The early warning module is used to generate a fault risk value for each monitoring point and determine whether to generate an early warning instruction based on the fault risk value.

[0078] Specifically, the central control unit also includes:

[0079] Fault diagnosis module, when there is a warning instruction, the fault diagnosis module generates a fault message according to the operation monitoring curve;

[0080] The interactive module is used to generate display parameters of each monitoring point based on all monitoring operation curves.

[0081] Specifically, the central control unit adopts a redundant design, and the controller power supply, CPU module, IO module, and communication module all adopt a hot standby switching redundant design solution to improve equipment reliability.

[0082] Specifically, the ordinary relays in the monitoring system are transformed into relay unit groups with strong anti-interference capabilities to solve the problem of bus communication being interfered by strong magnetic fields.

[0083] Specifically, the interactive module is preferably a high-performance touch-type background device, which can extract the logical action signals and messages in the monitoring system, map them to the touch device, and realize the human-computer interaction interface.

[0084] Specifically, the first processing module is also used for:

[0085] Establish a monitoring point sequence A, A = (a1, a2...an), where ai is the i-th monitoring point and n is the monitoring point;

[0086] Establish monitoring point-monitoring submodule mapping table;

[0087] Select the target monitoring points in sequence according to the monitoring point sequence A;

[0088] Select the target monitoring submodule according to the target monitoring point and the monitoring point-monitoring submodule mapping table;

[0089] Set the feedback time node and single acquisition duration of the target monitoring submodule;

[0090] Obtain the real-time operating parameters collected by the target monitoring submodule, and generate sub-monitoring curves of the target monitoring point at each feedback time node;

[0091] A monitoring operation curve of the target monitoring point is established based on all sub-monitoring curves.

[0092] Specifically, according to the equipment parameters of the static variable frequency traction switching device of the gas turbine, corresponding monitoring points and corresponding data acquisition devices are set at the positions of the excitation system, the gas turbine control system TCS and the knife switch switching device, so as to monitor the operating status of each equipment during the startup process in real time and give early warning of fault risks in time.

[0093] In a preferred embodiment of the present application, the early warning module is also used for:

[0094] Obtain all sub-monitoring curves of the target monitoring point between the last maintenance time node and the current feedback time node;

[0095] Establish a sub-monitoring curve function series F, F = (f1, f2...f m ), where m is the number of sub-monitoring curves between the last maintenance time node and the current feedback time node, and f i is the functional relationship corresponding to the sub-monitoring curve of the i-th feedback time node after the previous maintenance time node;

[0096] Generate a fault evaluation value h of the target monitoring point;

[0097] If the fault evaluation value h is greater than the preset fault evaluation value threshold, an early warning instruction for the target monitoring point is generated.

[0098] Specifically, when generating the fault evaluation value h of the target monitoring point, it includes:

[0099]

[0100] Where, (i = 2, 3 ... m);

[0101] h=e*g;

[0102] Among them, e is the compensation coefficient, g is the early warning evaluation value; Q1 is the first fixed coefficient, Q2 is the second fixed coefficient; Q3 is the third fixed coefficient; t is the single collection time of the target monitoring point; Δf is the functional relationship corresponding to the standard operation curve of the target monitoring point; ci is the operation evaluation value corresponding to the i-th sub-monitoring curve; Δc is the average of all operation evaluation values ​​between the last maintenance time node and the current feedback time node; Y(x) is the selection coefficient, if Ki is greater than zero, Y(x)=1; if Ki is less than zero, Y(x)=0.

[0103] Specifically, different evaluation indicators are normalized to the same value range by setting the first fixed coefficient, the second fixed coefficient and the third fixed coefficient.

[0104] Specifically, by establishing a risk assessment model, the potential failure risk of the monitoring point is judged based on the cumulative offset, offset trend and operating stability of the operating parameters of a single monitoring point, and timely warnings are issued for possible failure risks to ensure the safe operation of the equipment.

[0105] Specifically, the relationship between the sub-monitoring curve and the operation evaluation value can be set based on historical data.

[0106] Specifically, the early warning module is also used to:

[0107] Obtain the early warning evaluation value g of the target monitoring point;

[0108] Preset the first warning evaluation value threshold G1;

[0109] If g<G1, set the compensation coefficient e=1;

[0110] If g>G1, obtain all associated monitoring points of the target monitoring point according to the association relationship table, and obtain the early warning evaluation value of each associated monitoring point;

[0111] Generate a revised evaluation value k of the target monitoring point according to the early warning evaluation values ​​of all associated monitoring points;

[0112]

[0113] Among them, gi is the warning evaluation value of the i-th associated monitoring point at the current time node; βi is the impact factor of the i-th associated monitoring point; n1 is the number of associated monitoring points of the target monitoring point;

[0114] The compensation coefficient e is set according to the corrected evaluation value k.

[0115] Specifically, if the early warning evaluation value is less than the preset early warning evaluation value threshold, it means that there is no failure risk at the current monitoring point and no correction is required.

[0116] Specifically, an associated monitoring point refers to a device that is connected to a target monitoring point. When a device at a target associated monitoring point fails in operation, the target monitoring point will be affected.

[0117] Specifically, when the compensation coefficient e is set according to the modified evaluation value k, it includes:

[0118] Presetting a first modified evaluation value interval (K1, K2), a second modified evaluation value interval (K2, K3) and a third modified evaluation value interval (K3, K4);

[0119] If the corrected evaluation value k is within the preset first corrected evaluation value interval, the compensation coefficient e is set to the preset first compensation coefficient e1, that is, e=e1;

[0120] If the corrected evaluation value k is within the preset second corrected evaluation value interval, the compensation coefficient e is set to the preset second compensation coefficient e2, that is, e=e2;

[0121] If the modified evaluation value k is in the preset third modified evaluation value interval, the compensation coefficient e is set to the preset first compensation coefficient e3, that is, e=e3; and 1<e1<e2<e3.

[0122] Specifically, by dynamically adjusting the compensation coefficient, the target monitoring point can be diagnosed based on the global equipment operation status, thereby improving the early warning capability of the failure risk of each monitoring point, timely warning of potential failure risks, and improving the monitoring efficiency of the corresponding equipment.

[0123] In a preferred embodiment of the present application, the fault diagnosis module is also used to:

[0124] If there is an early warning instruction at the target monitoring point;

[0125] Obtain all sub-monitoring curves between the last maintenance time node and the current feedback time node of the target monitoring point;

[0126] Extract the fault signal and generate the fault message of the target monitoring point based on the comparison result between the fault signal and all fault types in the fault database;

[0127] Fault messages include:

[0128] Fault type, fault cause, fault repair method and fault reset record of the target monitoring point.

[0129] Specifically, the faulty units include:

[0130] The second processing module is used to obtain the fault message of each monitoring point and generate a sub-storage data packet;

[0131] A storage module, used to store all sub-storage data packets and set storage parameters of each sub-storage data packet;

[0132] The third processing module establishes a fault database according to all sub-storage data packets in the storage module.

[0133] Specifically, the fault unit can store fault messages and record up to 100 faults and fault reset records. When a fault occurs, it not only automatically records the type of fault, but also gives the cause of the fault and the maintenance method. This allows maintenance personnel to solve the fault as quickly as possible according to the prompts.

[0134] According to the first concept of the present application, by adding a central control unit and setting multiple monitoring points based on equipment parameters, the static variable frequency drive switching device of the gas turbine is comprehensively monitored, and the potential failure risk of the equipment is timely warned. When a failure occurs, not only the type of failure is automatically recorded, but also the cause of the failure and the maintenance method are given, so that maintenance personnel can solve the failure as soon as possible according to the prompt.

[0135] According to this application, the monitoring system adopts a redundant design, and the controller power supply, CPU module, IO module, and communication module all adopt a hot standby switching redundant design scheme to improve equipment reliability. At the same time, by adding a fault diagnosis module to analyze and judge abnormal records, the maintenance efficiency is improved.

[0136] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A monitoring system for a static variable frequency drive switching device of a gas turbine, characterized in that: include: The central control unit is used to establish multiple monitoring points according to equipment parameters and generate standard operating curves for each monitoring point; A data acquisition unit, comprising a plurality of monitoring submodules, wherein the data acquisition unit is used to collect real-time operating parameters of each monitoring point; Fault unit, used to record and store historical fault data of each monitoring point and establish a fault database; The central control unit comprises: The first processing module is used to set the monitoring submodules of each monitoring point and set the data acquisition parameters of each monitoring submodule; The first processing module is also used to generate a monitoring operation curve for each monitoring point according to the real-time operation parameters; An association module is used to establish an association relationship table between various monitoring points according to a preset association model; The early warning module is used to generate a fault risk value for each monitoring point and determine whether to generate an early warning instruction based on the fault risk value.

2. The monitoring system for a gas turbine static variable frequency drive switching device according to claim 1, characterized in that: The central control unit also includes: A fault diagnosis module, when there is a warning instruction, the fault diagnosis module generates a fault message according to the operation monitoring curve; The interactive module is used to generate display parameters of each monitoring point based on all monitoring operation curves.

3. The monitoring system for a gas turbine static variable frequency drive switching device according to claim 2, characterized in that: The first processing module is also used for: Establish a monitoring point sequence A, A = (a1, a2...an), where ai is the i-th monitoring point and n is the monitoring point; Establish monitoring point-monitoring submodule mapping table; Select the target monitoring points in sequence according to the monitoring point sequence A; Select the target monitoring submodule according to the target monitoring point and the monitoring point-monitoring submodule mapping table; Set the feedback time node and single acquisition duration of the target monitoring submodule; Obtain the real-time operating parameters collected by the target monitoring submodule, and generate sub-monitoring curves of the target monitoring point at each feedback time node; A monitoring operation curve of the target monitoring point is established based on all sub-monitoring curves.

4. The monitoring system for a gas turbine static variable frequency drive switching device according to claim 3, characterized in that: The early warning module is also used for: Obtain all sub-monitoring curves of the target monitoring point between the last maintenance time node and the current feedback time node; Establish a sub-monitoring curve function series F, F = (f1, f2...f m ), where m is the number of sub-monitoring curves between the last maintenance time node and the current feedback time node, and f i is the functional relationship corresponding to the sub-monitoring curve of the i-th feedback time node after the previous maintenance time node; Generate the fault evaluation value h of the target monitoring point according to the sub-monitoring curve function sequence F; If the fault evaluation value h is greater than the preset fault evaluation value threshold, an early warning instruction for the target monitoring point is generated.

5. The monitoring system for a gas turbine static variable frequency drive switching device according to claim 4, characterized in that: The generation of the fault evaluation value of the target monitoring point includes: Where, (i = 2, 3 ... m); h=e*g; Among them, e is the compensation coefficient, g is the early warning evaluation value; Q1 is the first fixed coefficient, Q2 is the second fixed coefficient; Q3 is the third fixed coefficient; t is the single collection time of the target monitoring point; Δf is the functional relationship corresponding to the standard operation curve of the target monitoring point; ci is the operation evaluation value corresponding to the i-th sub-monitoring curve; Δc is the average of all operation evaluation values ​​between the last maintenance time node and the current feedback time node; Y(x) is the selection coefficient, if Ki is greater than zero, Y(x)=1; if Ki is less than zero, Y(x)=0.

6. The monitoring system for a gas turbine static variable frequency drive switching device according to claim 5, characterized in that: The early warning module is also used for: Obtain the early warning evaluation value g of the target monitoring point; Preset the first warning evaluation value threshold G1; If g<G1, set the compensation coefficient e=1; If g>G1, obtain all associated monitoring points of the target monitoring point according to the association relationship table, and obtain the early warning evaluation value of each associated monitoring point; Generate a revised evaluation value k of the target monitoring point according to the early warning evaluation values ​​of all associated monitoring points; Among them, gi is the warning evaluation value of the i-th associated monitoring point at the current time node; βi is the impact factor of the i-th associated monitoring point; n1 is the number of associated monitoring points of the target monitoring point; The compensation coefficient e is set according to the corrected evaluation value k.

7. The monitoring system for a gas turbine static variable frequency drive switching device according to claim 6, characterized in that: When the compensation coefficient e is set according to the modified evaluation value k, it includes: Presetting a first modified evaluation value interval (K1, K2), a second modified evaluation value interval (K2, K3) and a third modified evaluation value interval (K3, K4); If the corrected evaluation value k is within the preset first corrected evaluation value interval, the compensation coefficient e is set to the preset first compensation coefficient e1, that is, e=e1; If the corrected evaluation value k is within the preset second corrected evaluation value interval, the compensation coefficient e is set to the preset second compensation coefficient e2, that is, e=e2; If the modified evaluation value k is in the preset third modified evaluation value interval, the compensation coefficient e is set to the preset first compensation coefficient e3, that is, e=e3; and 1<e1<e2<e3.

8. The monitoring system for a gas turbine static variable frequency drive switching device according to claim 6, characterized in that: The fault diagnosis module is also used for: If there is an early warning instruction at the target monitoring point; Obtain all sub-monitoring curves between the last maintenance time node and the current feedback time node of the target monitoring point; Extract the fault signal and generate the fault message of the target monitoring point based on the comparison result between the fault signal and all fault types in the fault database; The fault message includes: Fault type, fault cause, fault repair method and fault reset record of the target monitoring point.

9. The monitoring system for a gas turbine static variable frequency drive switching device according to claim 8, characterized in that: The fault unit comprises: The second processing module is used to obtain the fault message of each monitoring point and generate a sub-storage data packet; A storage module, used to store all sub-storage data packets and set storage parameters of each sub-storage data packet; The third processing module establishes a fault database according to all sub-storage data packets in the storage module.

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