Electrostatic monitoring method and system for faults of heavy-duty gas turbine

Abstract

The invention discloses an electrostatic monitoring method and system for faults of a heavy-duty gas turbine, relates to the technical field of gas turbines, and is mainly used for solving the problem that the monitoring accuracy of the faults of the gas turbine caused by static electricity is relatively low. The method mainly comprises the following steps: in the fault monitoring process of the heavy duty gas turbine, acquiring fault monitoring target data in real time, and performing fault monitoring on the fault monitoring target data based on configured fault monitoring standard data; when it is determined that the heavy duty gas turbine breaks down based on the fault monitoring standard data, electric signals collected by electrostatic monitor sets installed at at least two electrostatic monitoring positions are obtained; determining a target monitoring position of a maximum electric signal in the electric signals, and determining an associated electric signal of at least one associated position based on a monitoring network constructed by the electrostatic monitor group; if the electric distance value between the associated electric signal and the maximum electric signal is larger than a preset electric distance threshold value, it is determined that the heavy duty gas turbine is in an electrostatic fault.

Description

Technical Field

[0001] The invention relates to the technical field of gas turbines, and in particular to an electrostatic monitoring method and system for heavy-duty gas turbine faults. Background Art

[0002] Gas turbines are mainly based on the continuous flow of gas as a working fluid to convert the chemical energy of the fuel into mechanical energy. Among them, the gas turbine includes a compressor, a combustion chamber, and a turbine. The compressor is responsible for inhaling air from the atmosphere and compressing it. The compressed air enters the combustion chamber, mixes with the injected fuel and burns to produce high-temperature, high-pressure gas. The high-temperature, high-pressure gas enters the turbine to expand and do work, driving the turbine impeller and the compressor impeller to rotate together, thereby partially converting the chemical energy of the fuel into mechanical work and outputting electrical work. In this process, if the gas turbine fails and stops running, it is necessary to monitor the cause of the failure. Among them, if there are a lot of tiny flammable substances such as dust, oil mist, aerosol particulate matter, hydrocarbons, and sulfur oxides in the inhaled air, if static electricity is generated after friction is generated during compression or mixing with fuel, and the tiny substances are adsorbed onto metal equipment, it is also easy to cause combustion and explosion. Therefore, static electricity monitoring is an important indicator for gas turbine fault monitoring.

[0003] At present, the existing electrostatic monitoring of heavy-duty gas turbine faults is usually judged based on the elimination method, that is, when the gas turbine stops due to a fault, it is determined to be a tiny flammable substance adsorption fault caused by static electricity after elimination judgment based on typical monitoring parameter signals such as speed, temperature, pressure, vibration, switch status, etc. that often appear in the gas turbine. This greatly reduces the accuracy and effectiveness of fault monitoring of gas turbines caused by static electricity. Therefore, there is an urgent need for an electrostatic monitoring of heavy-duty gas turbine faults to solve the above problems. Summary of the invention

[0004] In view of this, the present invention provides a method and system for static electricity monitoring of heavy-duty gas turbine faults, the main purpose of which is to solve the problem of low accuracy in monitoring gas turbine faults caused by static electricity.

[0005] According to one aspect of the present invention, there is provided a method for electrostatic monitoring of a heavy-duty gas turbine fault, comprising:

[0006] During the fault monitoring process of the heavy-duty gas turbine, fault monitoring target data is acquired in real time, and fault monitoring is performed on the fault monitoring target data based on the configured fault monitoring standard data;

[0007] When it is determined that the heavy-duty gas turbine has failed based on the fault monitoring standard data, obtaining electrical signals collected by an electrostatic monitor group installed at at least two electrostatic monitoring positions;

[0008] Determine a target monitoring position of a maximum electrical signal in the electrical signals, and determine an associated electrical signal of at least one associated position based on a monitoring network constructed by the electrostatic monitor group;

[0009] If the electrical distance value between the associated electrical signal and the maximum electrical signal is greater than a preset electrical distance threshold, it is determined that the heavy-duty gas turbine has an electrostatic fault, and the electrical distance value is used to characterize the value of the generated electrostatic electricity.

[0010] Further, the step of determining a target monitoring position of a maximum electrical signal in the electrical signal, and determining an associated electrical signal of at least one associated position based on a monitoring network constructed by the electrostatic monitor group includes:

[0011] Comparing the electrical signals in sequence to determine the maximum electrical signal, and determining the target monitoring position that generates the maximum electrical signal;

[0012] At least one associated position and an associated electrical signal corresponding to the associated position are determined from the monitoring network based on the updated monitoring range.

[0013] Furthermore, the method further comprises:

[0014] If the associated electrical signal is greater than a preset electrostatic monitoring maximum value, it is determined that the heavy-duty gas turbine has an electrostatic fault.

[0015] Furthermore, each electrostatic detector in the electrostatic monitor group is respectively configured at an electrostatic monitoring position of a compressor, a combustion chamber, and a turbine of the heavy-duty gas turbine, and the electrostatic monitoring position includes an inlet end and an outlet end. The method further includes:

[0016] Obtaining position identifiers of multiple detection points in the electrostatic monitoring position and the position distances between the entered position identifiers;

[0017] The monitoring network is constructed according to the location distances and the location identifiers, and a corresponding distribution position is configured for each of the location identifiers in the monitoring network.

[0018] Furthermore, the method further comprises:

[0019] The electrical distance value between the associated electrical signal and the maximum electrical signal is calculated based on a preset electrical distance calculation formula, wherein the preset electrical distance calculation formula is Q=log w D / d, D is the maximum electrical signal, d is the associated electrical signal, and w is the temperature and humidity difference.

[0020] Furthermore, after the monitoring network constructed based on the electrostatic monitor group determines the associated electrical signal of at least one associated position, the method further includes:

[0021] If the electrical distance value is less than or equal to the preset electrical distance threshold, then counting the number of suspected static electricity at the target monitoring position;

[0022] If the number of suspected static electricity occurrences is greater than a preset threshold of suspected static electricity occurrences when the preset monitoring time interval is reached, it is determined that the heavy-duty gas turbine has a static electricity failure.

[0023] Further, after determining that the heavy-duty gas turbine has a static electricity fault, the method further includes:

[0024] Generate an electrostatic monitoring schematic diagram of the target monitoring position and the associated position, and output it to indicate the position of the equipment where the electrostatic fault occurs.

[0025] According to another aspect of the present invention, there is provided an electrostatic monitoring system for heavy-duty gas turbine faults, comprising:

[0026] A monitoring module, used for acquiring fault monitoring target data in real time during the fault monitoring process of the heavy-duty gas turbine, and performing fault monitoring on the fault monitoring target data based on the configured fault monitoring standard data;

[0027] An acquisition module, configured to acquire electrical signals collected by an electrostatic monitor group installed at at least two electrostatic monitoring positions after determining that the heavy-duty gas turbine has failed based on the fault monitoring standard data;

[0028] A first determination module is used to determine a target monitoring position of a maximum electrical signal in the electrical signal, and determine an associated electrical signal of at least one associated position based on a monitoring network constructed by the electrostatic monitor group;

[0029] The second determination module is used to determine that the heavy-duty gas turbine has an electrostatic fault if the electrical distance value between the associated electrical signal and the maximum electrical signal is greater than a preset electrical distance threshold, and the electrical distance value is used to characterize the value of the generated electrostatic electricity.

[0030] Furthermore, the first determining module includes:

[0031] A first determining unit, used for sequentially comparing the electrical signals to determine a maximum electrical signal, and determining a target monitoring position generating the maximum electrical signal;

[0032] The second determining unit is used to determine at least one associated position and an associated electrical signal corresponding to the associated position from the monitoring network based on the updated monitoring range.

[0033] Furthermore, the system further comprises:

[0034] The third determination module is used to determine that the heavy-duty gas turbine has an electrostatic fault if the associated electrical signal is greater than a preset electrostatic monitoring maximum value.

[0035] Furthermore, the system further comprises:

[0036] The acquisition module is further used to acquire the position identifiers of multiple detection points in the electrostatic monitoring position, and the position distances between the entered position identifiers;

[0037] A configuration module is used to construct the monitoring network according to the location distance and the location identifier, and configure a corresponding distribution position for each location identifier in the monitoring network.

[0038] Furthermore, the system further comprises:

[0039] A calculation module is used to calculate the electrical distance value between the associated electrical signal and the maximum electrical signal based on a preset electrical distance calculation formula, wherein the preset electrical distance calculation formula is Q=log w D / d, D is the maximum electrical signal, d is the associated electrical signal, and w is the temperature and humidity difference.

[0040] Furthermore, the system further comprises:

[0041] A counting module, configured to count the number of suspected static electricity at the target monitoring position if the electrical distance value is less than or equal to a preset electrical distance threshold;

[0042] The fourth determination module is used to determine that the heavy-duty gas turbine has a static electricity fault if the number of suspicious static electricity occurrences is greater than a preset suspicious number threshold when the preset monitoring time interval is reached.

[0043] Furthermore, the system further comprises:

[0044] A generating module is used to generate an electrostatic monitoring schematic diagram of the target monitoring position and the associated position, and output it to indicate the position of the equipment generating the electrostatic fault.

[0045] According to another aspect of the present invention, a storage medium is provided, wherein at least one executable instruction is stored in the storage medium, and the executable instruction enables a processor to execute operations corresponding to the above-mentioned electrostatic monitoring method for heavy-duty gas turbine faults.

[0046] According to another aspect of the present invention, there is provided a terminal, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0047] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the electrostatic monitoring method for heavy-duty gas turbine faults.

[0048] By means of the above technical solution, the technical solution provided by the embodiment of the present invention has at least the following advantages:

[0049] The present invention provides an electrostatic monitoring method and system for heavy-duty gas turbine faults. In an embodiment of the present invention, first, during the fault monitoring process of the heavy-duty gas turbine, fault monitoring target data is acquired in real time, and fault monitoring is performed on the fault monitoring target data based on the configured fault monitoring standard data; when it is determined that the heavy-duty gas turbine has a fault based on the fault monitoring standard data, an electrical signal collected by an electrostatic monitor group installed at at least two electrostatic monitoring positions is acquired; a target monitoring position of a maximum electrical signal in the electrical signal is determined, and an associated electrical signal of at least one associated position is determined based on a monitoring network constructed by the electrostatic monitor group; if the electrical distance value between the associated electrical signal and the maximum electrical signal is greater than a preset electrical distance threshold, it is determined that the heavy-duty gas turbine has an electrostatic fault, and the electrical distance value is used to characterize the value of the generated electrostatic electricity. Compared with the prior art, the present application collects electrical signals through an electrostatic monitor group, which can avoid troubleshooting item by item after a fault occurs, greatly reducing the data processing time for fault identification. At the same time, by calculating the electrical distance value between the target monitoring position and the associated position, the accuracy of electrostatic fault identification can be ensured, and misidentification of electrostatic faults can be avoided, thereby effectively improving the effectiveness and accuracy of electrostatic fault identification.

[0050] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0052] Figure 1 A flow chart of an electrostatic monitoring method for a heavy-duty gas turbine fault provided by an embodiment of the present invention is shown;

[0053] Figure 2 A flow chart of another electrostatic monitoring method for heavy-duty gas turbine faults provided by an embodiment of the present invention is shown;

[0054] Figure 3 A schematic diagram of an associated position division provided by an embodiment of the present invention is shown;

[0055] Figure 4 A multi-structure schematic diagram of a monitoring network provided by an embodiment of the present invention is shown;

[0056] Figure 5 A block diagram of a heavy-duty gas turbine fault electrostatic monitoring system provided by an embodiment of the present invention is shown;

[0057] Figure 6 A schematic diagram of the structure of a terminal provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0058] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0059] The embodiment of the present invention provides a method for electrostatic monitoring of heavy-duty gas turbine faults, such as Figure 1 As shown, the method includes:

[0060] 101. During the fault monitoring process of the heavy-duty gas turbine, fault monitoring target data is acquired in real time, and fault monitoring is performed on the fault monitoring target data based on the configured fault monitoring standard data.

[0061] In an embodiment of the present invention, the objects of fault monitoring include the air compressor, combustion chamber, and turbine of the heavy-duty gas turbine. The fault monitoring target data is obtained from the operation data acquisition equipment of the air compressor, combustion chamber, and turbine. Among them, the fault monitoring target data includes turbine speed, air compressor temperature, combustion chamber temperature, air compressor pressure, turbine vibration, and the switch status of the compressor, combustion chamber, and turbine, etc. After obtaining the fault monitoring target data, it is determined whether the currently monitored heavy-duty gas turbine has a fault based on the data comparison result of the pre-configured fault monitoring standard data and the fault monitoring target data. Among them, the data items of the monitoring standard data can be determined based on the historical operation data and operation fault items of the current heavy-duty gas turbine, and can include turbine speed, air compressor temperature, combustion chamber temperature, air compressor pressure, turbine vibration, etc., and data other than the above parameters can also be determined according to the specific needs of the actual application scenario, for example, the power output parameters of the associated motor, etc., which are not specifically limited in the embodiment of the present invention. The specific values ​​corresponding to each data item in the monitoring standard data can be configured according to the operating experience of heavy-duty gas turbines. For example, the turbine speed is generally around 3000 rpm, so the monitoring characterization data of the turbine speed can be configured to 2500 rpm. If the turbine speed in the target data is lower than 2500 rpm, it can be used as a basis for judging the current gas turbine failure.

[0062] Specifically, to determine whether the gas turbine is faulty, it can be determined based on a single monitoring standard data. For example, if the turbine operating state is off, the gas turbine fault can be directly determined. It can also be determined jointly based on the comparison results of multiple monitoring standard data and corresponding target data. For example, only when the difference between the air compressor pressure in the target data and the air compressor pressure in the monitoring standard data is greater than the corresponding threshold, and the difference between the combustion chamber temperature in the target data and the combustion chamber temperature in the monitoring standard data is greater than the corresponding threshold, the gas turbine fault is determined. If only one of the data meets the corresponding threshold, it is not determined to be a fault. In addition, the threshold or standard value for judging each data may not be limited to one, and may include multiple thresholds of different sizes to achieve accurate judgment of the fault, which is not specifically limited in the embodiment of the present invention.

[0063] 102. When it is determined that the heavy-duty gas turbine has failed based on the fault monitoring standard data, electrical signals collected by an electrostatic monitor group installed at at least two electrostatic monitoring positions are obtained.

[0064] In the embodiment of the present invention, in order to monitor the static electricity situation of the heavy-duty gas turbine, according to the historical operation experience of heavy-duty gas turbines, an electrostatic monitoring position is set inside and / or outside the gas turbine. The electrostatic monitoring position can be two or more. When there are two electrostatic monitoring positions, the two electrostatic monitoring positions can be distributed in the same gas turbine component, for example, an electrostatic monitoring position is set at the outlet and inlet of the air compressor respectively; or they can be distributed in different gas turbine components, for example, an electrostatic monitoring position is set at the outlet of the gas turbine, and an electrostatic monitoring position is set at the inlet of the combustion chamber. The embodiment of the present invention does not make specific restrictions. The electrostatic detectors installed in each electrostatic monitoring position constitute an electrostatic detector group, and each electrostatic detector installation position is a detection point, and each detection point is distributed according to a preset interval distance (equidistant or unequal). Among them, the electrostatic detector is an electrostatic detector suitable for gas and explosive environments, for example, BLY / EST101, FMX-003, etc., which is used to measure the electrostatic voltage within the corresponding electrostatic monitoring position range in the gas turbine, that is, the electrical signal collected by the electrostatic monitor group.

[0065] 103. Determine a target monitoring position of a maximum electrical signal in the electrical signals, and determine an associated electrical signal of at least one associated position based on a monitoring network constructed by the electrostatic monitor group.

[0066] In an embodiment of the present invention, the electrical signals collected by the electrostatic monitor group include electrical signals collected by each electrostatic detector respectively, and each electrical signal is compared to determine the electrostatic detector with the maximum electrical signal tested, and the electrostatic monitoring position corresponding to this electrostatic detector is determined as the target monitoring position. In order to ensure the accuracy of the electrostatic signal, at least one associated position associated with the target monitoring position is determined from the monitoring network based on the target monitoring position, and the electrical signal collected by the electrostatic detector at the associated position is extracted as the associated electrical signal. Among them, the associated position is a monitoring point within a preset range of the target monitoring position, and the determination of the associated position can be determined based on the distance between the electrostatic monitoring positions. For example, if the user sets the distance to 0.5m, the electrostatic monitoring position within the range of less than 0.5m from the target monitoring position can be determined as the associated position. It can also be determined based on the number of associations of the electrostatic monitoring position. For example, if the user sets the number of associations to 4, the 4 electrostatic monitoring positions closest to the current target monitoring position are determined as the associated positions. Of course, the determination method of the associated position can also be defined according to the specific application scenario, and the embodiment of the present invention does not make specific limitations.

[0067] 104. If the electrical distance value between the associated electrical signal and the maximum electrical signal is greater than a preset electrical distance threshold, it is determined that the heavy-duty gas turbine has an electrostatic fault.

[0068] In an embodiment of the present invention, after extracting the associated electrical signal of the maximum electrical signal from the electrical signal collected by the electrostatic monitor group, the electrical distance value can be calculated based on the maximum electrical signal and the associated electrical signal. The electrical distance value is used to characterize the value of the electrostatic charge, that is, the larger the calculated electrical distance value, the greater the electrostatic charge, the greater the impact on the equipment, and the greater the possibility of causing damage to the electrical components in the equipment. If the electrical distance value is greater than the preset electrical distance threshold, it indicates that the current point distance value has reached a level that can cause damage to the equipment and cause a gas turbine failure, and it can be determined that the current gas turbine failure is an electrostatic failure caused by static electricity.

[0069] It should be noted that in the operating space of heavy-duty gas turbines, the faults caused by static electricity are more complicated. It may be caused by static electricity exceeding the tolerance of the equipment, or it may be caused by the large pressure difference between static electricity generated at different positions, causing damage to the internal electrical equipment of the heavy-duty gas turbine, or it may be caused by frequent static electricity stimulation. The static electricity collection results based only on one point with the maximum electrical signal cannot fully cover the various situations of static electricity failures. According to the statistics of historical static electricity failures, the probability of static electricity failures caused by the large pressure difference between static electricity generated at different positions is higher. Therefore, after determining the target monitoring position corresponding to the maximum electrical signal, obtaining the associated electrical signals of the associated positions of the target monitoring position can enrich the basis for fault judgment, improve the comprehensiveness of static electricity fault judgment, and thus improve the accuracy of static electricity fault judgment.

[0070] In an embodiment of the present invention, for further explanation and limitation, as Figure 2 As shown, the step 103 of determining the target monitoring position of the maximum electrical signal in the electrical signal, and determining the associated electrical signal of at least one associated position based on the monitoring network constructed by the electrostatic monitor group includes:

[0071] 201. Compare the electrical signals in sequence to determine a maximum electrical signal, and determine a target monitoring position that generates the maximum electrical signal.

[0072] 202. Determine at least one associated location and an associated electrical signal corresponding to the associated location from the monitoring network based on the updated monitoring range.

[0073] In the embodiment of the present invention, the monitoring range is the range that can be covered in the monitoring network with the target monitoring position as the center and the configured monitoring distance as the radius. Figure 3 As shown, the monitoring network includes multiple continuously distributed points, each of which is equipped with an electrostatic detector. After determining the target monitoring position, the updated monitoring range is obtained, and the coverage area of ​​the monitoring range in the monitoring network is drawn with the target monitoring position (as shown by the dotted line). The detection points within the dotted line are the associated positions.

[0074] Different electrostatic monitoring positions may correspond to different monitoring ranges. For example, the electrostatic monitoring position in the compressor corresponds to monitoring range A, and the electrostatic monitoring position in the turbine corresponds to monitoring range B. For another example, the electrostatic monitoring position at the compressor inlet corresponds to monitoring range C; the electrostatic monitoring position at the outlet corresponds to monitoring range D. Due to the different spatial dimensions inside different components, the spatial limitations of different electrostatic monitoring positions are also different. Therefore, the distribution distances between electrostatic monitors in different electrostatic monitor groups are also different. With regard to the matching relationship between the monitoring range and different electrostatic monitoring positions, after the monitoring network is constructed, the corresponding relationship between different monitoring ranges and different electrostatic monitoring positions can be constructed, so that after the target monitoring position is determined, the corresponding monitoring range can be obtained according to the electrostatic monitoring position to which the target monitoring position belongs, and the initial monitoring range can be updated based on this monitoring range.

[0075] It should be noted that by configuring different monitoring ranges for different electrostatic monitoring locations, the differences in instrument installation space at different electrostatic monitoring locations can be fully considered in the process of determining the associated location, and a high degree of matching between the monitoring range and the distance between monitoring points in the monitoring network can be achieved, thereby improving the accuracy of identifying the associated location. In addition, the update of the monitoring range also includes obtaining the user's configuration update, that is, the user can adjust the configuration information of the monitoring range through the user interaction interface according to real-time needs. After determining the target monitoring location, the configuration information of the monitoring range will be re-acquired, and the associated location will be identified based on the latest monitoring range, thereby realizing flexible adjustment of the monitoring range.

[0076] In an embodiment of the present invention, for further explanation and limitation, the method further includes:

[0077] If the associated electrical signal is greater than a preset electrostatic monitoring maximum value, it is determined that the heavy-duty gas turbine has an electrostatic fault.

[0078] In an embodiment of the present invention, as an extreme case of a heavy-duty gas turbine failure, when the electrostatic pressure value at a certain point or multiple points of the gas turbine exceeds the voltage tolerance of the equipment, it will cause equipment failure. Therefore, after determining the associated electrical signal, the associated electrical signal is compared with the preset electrostatic monitoring maximum value. If the associated electrical signal is greater than the preset electrostatic monitoring maximum value, it indicates that the associated electrical signal exceeds the equipment tolerance, and it can be determined as an electrostatic failure. Among them, the preset electrostatic monitoring maximum value can correspond to the gas turbine as a whole, or different electrostatic monitoring positions of the gas turbine correspond to different preset electrostatic monitoring maximum values. The preset electrostatic monitoring maximum value can be customized according to the specific application situation and the safe use conditions of the equipment, and the embodiment of the present invention does not make specific limitations.

[0079] In an embodiment of the present invention, for further explanation and limitation, the method further includes:

[0080] Obtaining position identifiers of multiple detection points in the electrostatic monitoring position and the position distances between the entered position identifiers;

[0081] The monitoring network is constructed according to the location distances and the location identifiers, and a corresponding distribution position is configured for each of the location identifiers in the monitoring network.

[0082] In an embodiment of the present invention, in order to determine the associated position based on the monitoring range, it is also necessary to construct a position distribution network of each electrostatic detector in the electrostatic monitor group, that is, a monitoring network. Specifically, this monitoring network is used to identify the distance distribution relationship between the detection points where different electrostatic detectors are located. At the beginning of the construction, a plurality of position identifiers are constructed, and the position identifiers include the electrostatic monitoring positions to which they belong, and the identifiers in the electrostatic monitoring positions. For example, J1-2 represents the second detection point in the first electrostatic monitoring position, and J1-3 represents the third detection point in the first electrostatic monitoring position, and the position distance between J1-2 and J1-3 is recorded. Then, according to the actual installation position of the electrostatic detector, the accurate position distribution of the position identifier is drawn to obtain a monitoring network. The distribution of the detection points can be distributed in a straight line along the energy flow direction of the gas turbine, such as Figure 4 As shown in (a), the array distribution is Figure 4 (c) shows the circular distribution. Figure 4 As shown in (b), the plurality of nodes may also be distributed in other custom shapes around the set point, which is not specifically limited in the embodiment of the present invention.

[0083] In an embodiment of the present invention, for further explanation and limitation, the method further includes:

[0084] The electrical distance value between the associated electrical signal and the maximum electrical signal is calculated based on a preset electrical distance calculation formula.

[0085] In the embodiment of the present invention, the preset electrical distance calculation formula is Q=log wD / d, D is the maximum electrical signal, d is the associated electrical signal, and w is the temperature and humidity difference. In the high temperature environment of the gas turbine, the difference between temperature and humidity is a value greater than 1. In the logarithmic function with a base greater than 1, the logarithmic value increases with the increase of the true value, that is, the more the maximum electrical signal is greater than the associated electrical signal, the greater the ratio, and the greater the electrical distance value obtained. And because the base is the difference between temperature and humidity, the drier the environment, the greater the difference, and the greater the electrical distance value obtained. Since the degree of influence of static electricity on the equipment also depends on the dryness of the surrounding environment, according to the above formula, the environmental factors and the actual static electricity signals can be fully integrated to obtain an electrical distance value that can better characterize the degree of influence of static electricity on the gas turbine equipment, thereby improving the accuracy and effectiveness of static electricity fault judgment. Among them, temperature and humidity are the temperature and humidity collected by the temperature and humidity acquisition device closest to the target monitoring position.

[0086] In one embodiment of the present invention, for further explanation and limitation, after the monitoring network constructed based on the electrostatic monitor group determines the associated electrical signal of at least one associated position, the method further includes:

[0087] If the electrical distance value is less than or equal to the preset electrical distance threshold, then counting the number of suspected static electricity at the target monitoring position;

[0088] If the number of suspected static electricity occurrences is greater than a preset threshold of suspected static electricity occurrences when the preset monitoring time interval is reached, it is determined that the heavy-duty gas turbine has a static electricity failure.

[0089] In an embodiment of the present invention, if static electricity occurs once or several times, and the electrical distance value is less than or equal to the preset electrical distance threshold, it cannot be used as a basis for judging whether the current fault is a static electricity fault. However, the monitoring result of this electrical signal cannot completely rule out the possibility of a static electricity fault. Therefore, the static electricity at the target monitoring position is regarded as suspicious static electricity, and the number of suspicious static electricity occurring within the preset monitoring time interval is counted and statistically analyzed. If static electricity occurs frequently before the fault occurs, for example, within one day, the number of suspicious static electricity at the target monitoring position reaches more than 20 times, then it can be judged that the current gas turbine fault is a static electricity fault. Due to the frequent occurrence of static electricity, even if it does not reach the level of one-time damage to the equipment, repeated static electricity stimulation can also cause equipment failure. By counting and statistically analyzing suspicious static electricity, and using the number of suspicious static electricity within the preset monitoring time interval as the basis for judging static electricity faults, it is possible to identify equipment damage caused by frequent static electricity, thereby improving the accuracy of static electricity fault identification.

[0090] In one embodiment of the present invention, for further explanation and limitation, after determining that the heavy-duty gas turbine has an electrostatic fault, the method further includes:

[0091] Generate an electrostatic monitoring schematic diagram of the target monitoring position and the associated position, and output it to indicate the position of the equipment where the electrostatic fault occurs.

[0092] In an embodiment of the present invention, after determining that the fault of the gas turbine is an electrostatic fault, in order to enable on-site operation and maintenance personnel to quickly maintain the fault point, an electrostatic monitoring schematic diagram is generated based on the determined target monitoring position and associated positions, and the electrostatic monitoring schematic diagram is displayed in the display interface of the fault monitoring results, so that the operation and maintenance personnel can intuitively locate the fault position, thereby effectively improving the efficiency of fault operation and maintenance. Among them, the electrostatic monitoring schematic diagram may include local color markings, for example, red markings at the target monitoring position, orange markings at the associated position, and other positions are displayed in black and white, so that the operation and maintenance personnel can quickly locate the fault position from the schematic diagram. The schematic diagram may also include location identifiers, as well as Chinese interpretations corresponding to different location identifiers, so that the operation and maintenance personnel can quickly interpret them.

[0093] The present invention provides an electrostatic monitoring method for a heavy-duty gas turbine fault. The embodiment of the present invention first obtains fault monitoring target data in real time during the fault monitoring process of the heavy-duty gas turbine, and performs fault monitoring on the fault monitoring target data based on the configured fault monitoring standard data; when the heavy-duty gas turbine is determined to have a fault based on the fault monitoring standard data, the electrical signal collected by the electrostatic monitor group installed at at least two electrostatic monitoring positions is obtained; the target monitoring position of the maximum electrical signal in the electrical signal is determined, and the associated electrical signal of at least one associated position is determined based on the monitoring network constructed by the electrostatic monitor group; if the electrical distance value between the associated electrical signal and the maximum electrical signal is greater than the preset electrical distance threshold, the heavy-duty gas turbine is determined to have an electrostatic fault, and the electrical distance value is used to characterize the value of the generated electrostatic electricity. Compared with the prior art, the present application collects electrical signals through the electrostatic monitor group, which can avoid troubleshooting item by item after the fault occurs, greatly reducing the data processing time of fault identification, and at the same time, by calculating the electrical distance value between the target monitoring position and the associated position, the accuracy of electrostatic fault identification can be ensured, and the misidentification of electrostatic faults can be avoided, thereby effectively improving the effectiveness and accuracy of electrostatic fault identification.

[0094] Furthermore, as a response to the above Figure 1 The implementation of the method shown in the figure, the embodiment of the present invention provides an electrostatic monitoring system for heavy-duty gas turbine faults, such as Figure 3 As shown, the system includes:

[0095] The monitoring module 31 is used to acquire fault monitoring target data in real time during the fault monitoring process of the heavy-duty gas turbine, and perform fault monitoring on the fault monitoring target data based on the configured fault monitoring standard data;

[0096] An acquisition module 32, configured to acquire electrical signals collected by an electrostatic monitor group installed at at least two electrostatic monitoring positions after determining that the heavy-duty gas turbine has failed based on the fault monitoring standard data;

[0097] A first determination module 33, used to determine a target monitoring position of a maximum electrical signal in the electrical signal, and determine an associated electrical signal of at least one associated position based on a monitoring network constructed by the electrostatic monitor group;

[0098] The second determination module 34 is used to determine that the heavy-duty gas turbine has an electrostatic fault if the electrical distance value between the associated electrical signal and the maximum electrical signal is greater than a preset electrical distance threshold, and the electrical distance value is used to characterize the value of the generated electrostatic electricity.

[0099] Furthermore, the first determining module 33 includes:

[0100] A first determining unit, used for sequentially comparing the electrical signals to determine a maximum electrical signal, and determining a target monitoring position generating the maximum electrical signal;

[0101] The second determining unit is used to determine at least one associated position and an associated electrical signal corresponding to the associated position from the monitoring network based on the updated monitoring range.

[0102] Furthermore, the system further comprises:

[0103] The third determination module is used to determine that the heavy-duty gas turbine has an electrostatic fault if the associated electrical signal is greater than a preset electrostatic monitoring maximum value.

[0104] Furthermore, the system further comprises:

[0105] The acquisition module 32 is further used to acquire the position identifiers of multiple detection points in the electrostatic monitoring position, and the position distances between the entered position identifiers;

[0106] A configuration module is used to construct the monitoring network according to the location distance and the location identifier, and configure a corresponding distribution position for each location identifier in the monitoring network.

[0107] Furthermore, the system further comprises:

[0108] A calculation module is used to calculate the electrical distance value between the associated electrical signal and the maximum electrical signal based on a preset electrical distance calculation formula, wherein the preset electrical distance calculation formula is Q=log w D / d, D is the maximum electrical signal, d is the associated electrical signal, and w is the temperature and humidity difference.

[0109] Furthermore, the system further comprises:

[0110] A counting module, configured to count the number of suspected static electricity at the target monitoring position if the electrical distance value is less than or equal to a preset electrical distance threshold;

[0111] The fourth determination module is used to determine that the heavy-duty gas turbine has a static electricity fault if the number of suspicious static electricity occurrences is greater than a preset suspicious number threshold when the preset monitoring time interval is reached.

[0112] Furthermore, the system further comprises:

[0113] A generating module is used to generate an electrostatic monitoring schematic diagram of the target monitoring position and the associated position, and output it to indicate the position of the equipment generating the electrostatic fault.

[0114] The present invention provides an electrostatic monitoring system for heavy-duty gas turbine faults. The embodiment of the present invention first obtains fault monitoring target data in real time during the fault monitoring process of the heavy-duty gas turbine, and performs fault monitoring on the fault monitoring target data based on the configured fault monitoring standard data; when the heavy-duty gas turbine is determined to have a fault based on the fault monitoring standard data, the electrical signal collected by the electrostatic monitor group installed at at least two electrostatic monitoring positions is obtained; the target monitoring position of the maximum electrical signal in the electrical signal is determined, and the associated electrical signal of at least one associated position is determined based on the monitoring network constructed by the electrostatic monitor group; if the electrical distance value between the associated electrical signal and the maximum electrical signal is greater than the preset electrical distance threshold, the heavy-duty gas turbine is determined to have an electrostatic fault, and the electrical distance value is used to characterize the value of the generated electrostatic electricity. Compared with the prior art, the present application collects electrical signals through the electrostatic monitor group, which can avoid troubleshooting item by item after the fault occurs, greatly reducing the data processing time of fault identification, and at the same time, by calculating the electrical distance value between the target monitoring position and the associated position, the accuracy of electrostatic fault identification can be ensured, and the misidentification of electrostatic faults can be avoided, thereby effectively improving the effectiveness and accuracy of electrostatic fault identification.

[0115] According to one embodiment of the present invention, a storage medium is provided, wherein the storage medium stores at least one executable instruction, and the computer executable instruction can execute the electrostatic monitoring method for heavy-duty gas turbine faults in any of the above method embodiments.

[0116] Figure 6 A schematic diagram of the structure of a terminal provided according to an embodiment of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the terminal.

[0117] like Figure 6As shown, the terminal may include: a processor (processor) 402 , a communication interface (Communications Interface) 404 , a memory (memory) 406 , and a communication bus 408 .

[0118] The processor 402 , the communication interface 404 , and the memory 406 communicate with each other via a communication bus 408 .

[0119] The communication interface 404 is used to communicate with other devices such as clients or other servers.

[0120] The processor 402 is used to execute the program 410, and specifically can execute the relevant steps in the above-mentioned embodiment of the electrostatic monitoring method for heavy-duty gas turbine faults.

[0121] Specifically, the program 410 may include program codes, which include computer operation instructions.

[0122] The processor 402 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiment of the present invention. The one or more processors included in the terminal may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0123] The memory 406 is used to store the program 410. The memory 406 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0124] The program 410 may be specifically configured to enable the processor 402 to perform the following operations:

[0125] During the fault monitoring process of the heavy-duty gas turbine, fault monitoring target data is acquired in real time, and fault monitoring is performed on the fault monitoring target data based on the configured fault monitoring standard data;

[0126] When it is determined that the heavy-duty gas turbine has failed based on the fault monitoring standard data, obtaining electrical signals collected by an electrostatic monitor group installed at at least two electrostatic monitoring positions;

[0127] Determine a target monitoring position of a maximum electrical signal in the electrical signals, and determine an associated electrical signal of at least one associated position based on a monitoring network constructed by the electrostatic monitor group;

[0128] If the electrical distance value between the associated electrical signal and the maximum electrical signal is greater than a preset electrical distance threshold, it is determined that the heavy-duty gas turbine has an electrostatic fault, and the electrical distance value is used to characterize the value of the generated electrostatic electricity.

[0129] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing system, they can be concentrated on a single computing system, or distributed on a network composed of multiple computing systems, and optionally, they can be implemented by a program code executable by a computing system, so that they can be stored in a storage system and executed by the computing system, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0130] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for electrostatic monitoring of heavy-duty gas turbine faults, characterized in that: include: During the fault monitoring process of the heavy-duty gas turbine, fault monitoring target data is acquired in real time, and fault monitoring is performed on the fault monitoring target data based on the configured fault monitoring standard data; After determining that the heavy-duty gas turbine has failed based on the fault monitoring standard data, acquiring electrical signals collected by an electrostatic monitor group installed at at least two electrostatic monitoring positions; Determine a target monitoring position of a maximum electrical signal in the electrical signals, and determine an associated electrical signal of at least one associated position based on a monitoring network constructed by the electrostatic monitor group; If the electrical distance value between the associated electrical signal and the maximum electrical signal is greater than a preset electrical distance threshold, it is determined that the heavy-duty gas turbine has an electrostatic fault, and the electrical distance value is used to characterize the value of the generated electrostatic electricity.

2. The method according to claim 1, characterized in that The step of determining a target monitoring position of a maximum electrical signal in the electrical signals, and determining an associated electrical signal of at least one associated position based on a monitoring network constructed by the electrostatic monitor group includes: Comparing the electrical signals in sequence to determine the maximum electrical signal, and determining the target monitoring position that generates the maximum electrical signal; At least one associated position and an associated electrical signal corresponding to the associated position are determined from the monitored data based on the updated monitoring range.

3. The method according to claim 2, characterized in that The method further comprises: If the associated electrical signal is greater than a preset electrostatic monitoring maximum value, it is determined that the heavy-duty gas turbine has an electrostatic fault.

4. The method according to claim 1, characterized in that: Each electrostatic detector in the electrostatic monitor group is respectively configured at an electrostatic monitoring position of a compressor, a combustion chamber, and a turbine of the heavy-duty gas turbine, wherein the electrostatic monitoring position includes an inlet end and an outlet end. The method further includes: Obtaining position identifiers of multiple detection points in the electrostatic monitoring position and the position distances between the entered position identifiers; The monitoring network is constructed according to the location distances and the location identifiers, and a corresponding distribution position is configured for each of the location identifiers in the monitoring network.

5. The method according to claim 2, characterized in that: The method further comprises: The electrical distance value between the associated electrical signal and the maximum electrical signal is calculated based on a preset electrical distance calculation formula, wherein the preset electrical distance calculation formula is: is the maximum electrical signal, is the associated electrical signal, and is the temperature and humidity difference.

6. The method according to claim 1, characterized in that After the monitoring network constructed based on the electrostatic monitor group determines the associated electrical signal of at least one associated position, the method further includes: If the electrical distance value is less than or equal to the preset electrical distance threshold, then counting the number of suspected static electricity at the target monitoring position; If the number of suspected static electricity occurrences is greater than a preset threshold of suspected static electricity occurrences when the preset monitoring time interval is reached, it is determined that the heavy-duty gas turbine has a static electricity failure.

7. The method according to claim 1, characterized in that After determining that the heavy-duty gas turbine has a static fault, the method further includes: Generate an electrostatic monitoring schematic diagram of the target monitoring position and the associated position, and output it to indicate the position of the equipment where the electrostatic fault occurs.

8. An electrostatic monitoring system for heavy-duty gas turbine failures, characterized in that: include: A monitoring module, used for acquiring fault monitoring target data in real time during the fault monitoring process of the heavy-duty gas turbine, and performing fault monitoring on the fault monitoring target data based on the configured fault monitoring standard data; An acquisition module, configured to acquire electrical signals collected by an electrostatic monitor group installed at at least two electrostatic monitoring positions after determining that the heavy-duty gas turbine has failed based on the fault monitoring standard data; A first determination module is used to determine a target monitoring position of a maximum electrical signal in the electrical signal, and determine an associated electrical signal of at least one associated position based on a monitoring network constructed by the electrostatic monitor group; The second determination module is used to determine that the heavy-duty gas turbine has an electrostatic fault if the electrical distance value between the associated electrical signal and the maximum electrical signal is greater than a preset electrical distance threshold, and the electrical distance value is used to characterize the value of the generated electrostatic electricity.

9. A storage medium storing at least one executable instruction, wherein the executable instruction enables a processor to execute operations corresponding to the electrostatic monitoring method for heavy-duty gas turbine faults according to any one of claims 1 to 7.

10. A terminal, comprising: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the electrostatic monitoring method for heavy-duty gas turbine faults according to any one of claims 1-7.

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