Control method, device and equipment of full-model gas turbine and storage medium
By querying the target safety working parameter range of the gas turbine and adjusting the working parameters, the problem of difficulty in efficiently controlling the combustion performance of the gas turbine in the prior art is solved, and the combustion performance and reliability of the gas turbine are improved.
Patent Information
- Application Number
- CN202411684921.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-22
- Publication Date
- 2025-03-14
AI Technical Summary
The prior art is difficult to efficiently control the combustion performance of various models of gas turbines, resulting in reduced reliability and excessive pollutant emissions.
By obtaining the equipment model, current working parameters and current continuous operation time of the gas turbine, query the target safety working parameter interval, and determine the working parameters to be adjusted based on the current working parameters and target safety working parameter interval until it is reduced to the target safety working parameter interval.
It improves the combustion performance of gas turbines, avoids the influence of different models of gas turbines, and solves the problem that the combustion performance cannot be efficiently controlled in traditional control technology.
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Figure CN119616680A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of gas turbines, and in particular to a control method, device, equipment and storage medium for a full-type gas turbine. Background Art
[0002] During continuous operation, the combustion performance of a gas turbine may change due to pipeline blockage, component aging, and changes in external environmental parameters, which may lead to reduced reliability of the gas turbine and excessive pollutant emissions. In addition, in the actual control process, different types of gas turbines have different safe operating parameters, and traditional gas turbine control technology lacks effective combustion control solutions.
[0003] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention
[0004] The main purpose of the present invention is to provide a control method, device, equipment and storage medium for all types of gas turbines, aiming to solve the technical problem that the prior art cannot efficiently control the combustion performance of various types of gas turbines.
[0005] To achieve the above object, the present invention provides a control method for a full-type gas turbine, the method comprising the following steps:
[0006] Obtain the equipment model, current operating parameters and current continuous operation time of the gas turbine;
[0007] Querying the target safe operating parameter range of the gas turbine based on the equipment model and the current continuous operation time;
[0008] Determining the operating parameter to be adjusted according to the current operating parameter and the target safe operating parameter range;
[0009] The operating state of the gas turbine is adjusted based on the operating parameter to be adjusted until the operating parameter to be adjusted is reduced to within the target safe operating parameter range.
[0010] Optionally, the determining a target safe working parameter range based on the device model and the current continuous operation time includes:
[0011] Querying the theoretical safe operating parameter range of the gas turbine according to the equipment model;
[0012] Determine the current health state of the gas turbine and the attenuation coefficient corresponding to the current health state through a trained health assessment model based on the current continuous operation time;
[0013] A target safe operating parameter interval is determined according to the theoretical safe operating parameter interval and the attenuation coefficient.
[0014] Optionally, before determining the current health state of the gas turbine and the attenuation coefficient corresponding to the current health state through a trained health assessment model based on the current continuous operation time, the method further includes:
[0015] Obtain historical operating data of gas turbines of the same equipment model;
[0016] Performing data clustering on the historical operation data by using a preset clustering model to obtain multiple data clustering centers;
[0017] Determining a current health state of the gas turbine according to the current continuous operation time and each data cluster center;
[0018] An attenuation coefficient corresponding to the current health state is generated according to the factory setting parameters of the gas turbine and the current health state.
[0019] Optionally, clustering the historical operation data by using a preset clustering model to obtain multiple data clustering centers includes:
[0020] Setting a plurality of initial cluster centers according to the operating time of the gas turbine;
[0021] Calculating the distances between the historical operation data and the centers of each initial cluster respectively, and obtaining multiple iterative cluster data sets;
[0022] Update the centroid of each iterative clustering cluster data set;
[0023] Iterative clustering is performed based on the updated centroids of each iterative clustering cluster data set;
[0024] When the number of clustering is greater than or equal to the preset number of iterations, multiple data clustering centers are output according to the centroid of the latest iterative clustering cluster data set.
[0025] Optionally, updating the centroid of each iterative clustering cluster data set includes:
[0026] Calculate the running data average of each iterative clustering cluster data set;
[0027] The average value of each running data is taken as the centroid of the corresponding iterative clustering cluster data set.
[0028] Optionally, determining the current health state of the gas turbine according to the current continuous operation time and each data cluster center includes:
[0029] Calculating the membership parameter between the current continuous running time and each data cluster center;
[0030] Determining a target data cluster center based on the membership parameter;
[0031] Extracting a health status benchmark value of the target data cluster center;
[0032] The current health state of the gas turbine is determined according to the health state reference value.
[0033] Optionally, the adjusting the operating state of the gas turbine includes at least one of the following methods:
[0034] controlling the combustion temperature of each zone of the combustion chamber in the gas turbine;
[0035] adjusting a valve opening of at least one fuel inlet in communication with the gas turbine;
[0036] The pressure within the combustion chamber is adjusted.
[0037] In addition, to achieve the above-mentioned purpose, the present invention also provides a control device for a full-type gas turbine, the control device for the full-type gas turbine comprising:
[0038] An acquisition module is used to acquire the equipment model, current operating parameters and current continuous operation time of the gas turbine;
[0039] A query module, configured to query a target safe operating parameter range of the gas turbine based on the device model and the current continuous operation time;
[0040] A determination module, used to determine the operating parameter to be adjusted according to the current operating parameter and the target safe operating parameter range;
[0041] A control module is used to adjust the operating state of the gas turbine based on the operating parameter to be adjusted until the operating parameter to be adjusted is reduced to within the target safe operating parameter range.
[0042] In addition, to achieve the above-mentioned purpose, the present invention also proposes a control device for a full-type gas turbine, the control device for the full-type gas turbine comprising: a memory, a processor, and a control program for the full-type gas turbine stored in the memory and executable on the processor, the control program for the full-type gas turbine being configured to implement the steps of the control method for the full-type gas turbine as described above.
[0043] In addition, to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a control program of a full-type gas turbine is stored. When the control program of the full-type gas turbine is executed by a processor, the steps of the control method of the full-type gas turbine as described above are implemented.
[0044] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the control method of the full-type gas turbine as described above.
[0045] One or more technical solutions proposed in the present invention have at least the following technical effects: The present invention discloses a control method for a full-type gas turbine, and the control method for the full-type gas turbine includes: obtaining the equipment model, current operating parameters and current continuous operation time of the gas turbine; querying the target safe operating parameter range of the gas turbine based on the equipment model and the current continuous operation time; determining the operating parameters to be adjusted according to the current operating parameters and the target safe operating parameter range; adjusting the operating state of the gas turbine based on the operating parameters to be adjusted until the operating parameters to be adjusted are reduced to within the target safe operating parameter range. Compared with the prior art, the present invention first determines the target safe operating parameters corresponding to different models and continuous operation time, and then determines the operating parameters to be adjusted that do not meet the working requirements based on the current operating parameters and the target safe operating parameter range of the gas turbine, and then adjusts the operating state of the gas turbine so that the operating parameters to be adjusted are reduced to within the target safe operating parameter range, thereby improving the combustion performance of the gas turbine, and will not be affected by different models of gas turbines, thereby avoiding the technical problem that the combustion performance of various models of gas turbines cannot be efficiently controlled in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS
[0046] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.
[0047] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.
[0048] Figure 1 It is a flow chart of a first embodiment of a control method for a full-type gas turbine according to the present invention;
[0049] Figure 2 It is a flow chart of a second embodiment of a control method for a full-type gas turbine according to the present invention;
[0050] Figure 3 It is a structural block diagram of a first embodiment of a control device for a full-type gas turbine according to the present invention;
[0051] Figure 4It is a structural schematic diagram of a control device of a full-type gas turbine in a hardware operating environment involved in an embodiment of the present invention.
[0052] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION
[0053] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.
[0054] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.
[0055] Based on this, the embodiment of the present invention provides a control method for a full-type gas turbine, referring to Figure 1 , Figure 1 The figure is a flow chart of a first embodiment of a control method for a full-type gas turbine according to the present invention.
[0056] In this embodiment, the control method of the full-type gas turbine includes:
[0057] Step S10: Obtain the equipment model, current operating parameters and current continuous operation time of the gas turbine.
[0058] It should be noted that the execution subject of this embodiment may be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a control computer electrically connected to a gas turbine, etc. The following takes a control computer electrically connected to a gas turbine as an example to illustrate this embodiment and the following embodiments.
[0059] In this embodiment, the current operating parameters of the gas turbine include but are not limited to the gas emissions of the gas turbine during operation, the combustion chamber pressure pulsation, the speed of the compressor, the temperature of each area in the combustion chamber, etc., wherein the gas emissions include but are not limited to various NOx gases and CO, etc. A large amount of polluting gases will be emitted during the operation of the gas turbine. Excessive polluting gases will cause environmental pollution, and incomplete combustion will occur. The combustion residue will subsequently affect the service life of the equipment, and the combustion chamber pressure pulsation data will affect the normal operation of the gas turbine. Too low combustion chamber pressure may cause the gas turbine to stall, and frequent shutdown and restart will seriously damage the service life of the equipment.
[0060] The equipment models of the gas turbine include, but are not limited to, various models of gas turbines of brands such as General Electric (GE), Siemens (SIEMENS), and Mitsubishi (MHI), and this embodiment does not impose any specific restrictions on this.
[0061] The current continuous operation time refers to the cumulative operation time of the gas turbine from the last shutdown to the current moment.
[0062] Step S20: querying the target safe operating parameter range of the gas turbine based on the equipment model and the current continuous operation time.
[0063] In the specific implementation, as the gas turbine continues to operate, it is affected by pipeline blockage, component aging, and changes in external environmental parameters, which causes the combustion performance of the gas turbine to decrease, and its corresponding theoretical safe operating parameter range will also change accordingly. By querying the target safe operating parameter range corresponding to the equipment model and continuous operation time in the database, the operating parameters that need to be adjusted subsequently can be determined. The target safe operating parameter range is used to characterize the normal working range of each operating parameter of the gas turbine.
[0064] Step S30: determining the operating parameter to be adjusted according to the current operating parameter and the target safe operating parameter range.
[0065] When the current operating parameter of the gas turbine is not within the target safe operating parameter range, it indicates that the operating parameter needs to be adjusted to improve the operating efficiency of the gas turbine, and the operating parameter is recorded as the operating parameter to be adjusted.
[0066] Step S40: adjusting the operating state of the gas turbine based on the operating parameter to be adjusted until the operating parameter to be adjusted is reduced to within the target safe operating parameter range.
[0067] It can be understood that adjusting the operating state of the gas turbine includes at least one of the following methods:
[0068] controlling the combustion temperature of each zone of the combustion chamber in the gas turbine;
[0069] adjusting a valve opening of at least one fuel inlet in communication with the gas turbine;
[0070] The pressure within the combustion chamber is adjusted.
[0071] In a specific implementation, controlling the combustion temperature of each area of the combustion chamber in the gas turbine can reduce the generation of thermal NOx. For example, lean fuel is homogeneously premixed for combustion to control the combustion temperature and residence time, thereby reducing NOx emissions; or supercharged combustion is achieved through high-frequency or continuous detonation waves, which can improve cycle efficiency. The flow rate of the fuel involved in the combustion can also be adjusted to control the fuel content in the combustion chamber, thereby controlling the combustion chamber to be in a suitable combustion condition and reducing CO exhaust concentration.
[0072] This embodiment first determines the target safe operating parameters corresponding to different models and continuous operation durations, and then determines the working parameters to be adjusted that do not meet the working requirements based on the current operating parameters of the gas turbine and the target safe operating parameter range, and then adjusts the operating state of the gas turbine to reduce the working parameters to be adjusted to within the target safe operating parameter range, thereby improving the combustion performance of the gas turbine and not being affected by different models of gas turbines, thereby avoiding the technical problem in the prior art that the combustion performance of gas turbines of various models cannot be efficiently controlled.
[0073] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 2 , step S20, comprising:
[0074] Step S201: querying the theoretical safe operating parameter range of the gas turbine according to the equipment model.
[0075] Step S202: Determine the current health state of the gas turbine and the attenuation coefficient corresponding to the current health state through a trained health assessment model based on the current continuous operation time.
[0076] Step S203: determining a target safe operating parameter interval according to the theoretical safe operating parameter interval and the attenuation coefficient.
[0077] It should be noted that gas turbines of different equipment models will have a theoretical safe operating parameter range when they leave the factory. However, during actual operation, their actual safe operating parameters will change due to the working environment or equipment aging. If they operate according to the theoretical safe operating parameters, they may exceed the actual safe operating parameter range of the gas turbine, thereby affecting the combustion performance of the gas turbine.
[0078] Therefore, in this embodiment, the current continuous operation time of the gas turbine is calculated through the trained health assessment model, so as to evaluate the current health state of the gas turbine after long-term operation and the attenuation coefficient corresponding to the current health state, so as to correct the theoretical safe working parameter range and reduce the impact of the decline in combustion performance of the gas turbine caused by long-term operation.
[0079] Furthermore, before determining the current health state of the gas turbine and the attenuation coefficient corresponding to the current health state through the trained health assessment model based on the current continuous operation time, the method further includes:
[0080] Obtain historical operating data of gas turbines of the same equipment model;
[0081] Performing data clustering on the historical operation data by using a preset clustering model to obtain multiple data clustering centers;
[0082] Determining a current health state of the gas turbine according to the current continuous operation time and each data cluster center;
[0083] An attenuation coefficient corresponding to the current health state is generated according to the factory setting parameters of the gas turbine and the current health state.
[0084] In a specific implementation, in order to determine the current health status of the gas turbine, this embodiment performs big data analysis on the historical operating data of gas turbines of the same equipment model, thereby realizing a simulation analysis of the current operating status of the gas turbine. In addition, since the gas turbine is regularly inspected and damaged components are replaced during operation, the impact of blockage or component damage on the health status of the gas turbine is reduced.
[0085] The historical operating data of gas turbines of the same equipment model are clustered and analyzed through a clustering model to obtain multiple data clustering centers. The operating data corresponding to these data clustering centers can be regarded as stable operating parameter intervals. According to the stable operating parameters in the data clustering centers corresponding to different operating durations, the actual health status of the gas turbine under the operating duration can be obtained. Finally, the factory setting parameters of the gas turbine are compared with the actual health status to obtain the attenuation coefficient of the gas turbine under different operating durations.
[0086] Furthermore, the historical operation data is clustered by a preset clustering model to obtain multiple data clustering centers, including:
[0087] Setting a plurality of initial cluster centers according to the operating time of the gas turbine;
[0088] Calculating the distances between the historical operation data and the centers of each initial cluster respectively, and obtaining multiple iterative cluster data sets;
[0089] Update the centroid of each iterative clustering cluster data set;
[0090] Iterative clustering is performed based on the updated centroids of each iterative clustering cluster data set;
[0091] When the number of clustering is greater than or equal to the preset number of iterations, multiple data clustering centers are output according to the centroid of the latest iterative clustering cluster data set.
[0092] In this embodiment, the preset clustering model can be an algorithm model that can realize data analysis clustering based on the K-means clustering algorithm, the DBSCAN clustering algorithm, etc. Taking the K-means clustering algorithm as an example, in this embodiment, different operating time intervals are divided to obtain multiple operating time intervals, and the number of operating time intervals is used as the number of initial clustering cluster centers, so as to obtain the operating data of the gas turbine under different operating time intervals and improve the accuracy of subsequent health status judgment.
[0093] Calculating the distance between the historical running data and the centers of each initial cluster cluster may be calculating the Euclidean distance between each data and the centers of the initial cluster clusters, and then allocating the data with a shorter distance to the nearest cluster cluster, and updating the distance between each data and the center of mass by updating the center of mass of each cluster cluster data set, thereby improving the correlation of the data within each cluster cluster, until the number of clustering times is greater than or equal to the preset number of iterations, and then stopping the iteration to obtain multiple aggregated data cluster centers.
[0094] Further, the updating of the centroid of each iterative clustering data set includes:
[0095] Calculate the running data average of each iterative clustering cluster data set;
[0096] The average value of each running data is taken as the centroid of the corresponding iterative clustering cluster data set.
[0097] For each iterative clustering cluster, all the data in the cluster are averaged and the average value is used as the centroid of the new iterative clustering cluster data set.
[0098] In the specific implementation, the algorithm of iterative clustering is:
[0099]
[0100] Among them, J is the algorithm function of iterative clustering, K is the number of clusters, S k refers to the historical data set of the Kth cluster, x (i) refers to the i-th data in the cluster, μ (k) is the kth cluster center.
[0101] Further, determining the current health state of the gas turbine according to the current continuous operation time and each data cluster center includes:
[0102] Calculating the membership parameter between the current continuous running time and each data cluster center;
[0103] Determining a target data cluster center based on the membership parameter;
[0104] Extracting a health status benchmark value of the target data cluster center;
[0105] The current health state of the gas turbine is determined according to the health state reference value.
[0106] The membership function is used to evaluate the changing speed of each parameter in the gas turbine. For a stable data cluster center, its membership parameter is small, so the stable target data cluster center can be determined according to the parameter interval of the membership parameter, and the data corresponding to the centroid in the data cluster center can be extracted as the health status benchmark value.
[0107] This embodiment queries the theoretical safe operating parameter range of the gas turbine according to the equipment model; determines the current health state of the gas turbine and the attenuation coefficient corresponding to the current health state through a trained health assessment model based on the current continuous operation time; determines the target safe operating parameter range according to the theoretical safe operating parameter range and the attenuation coefficient, and corrects the theoretical safe operating parameter range of the gas turbine according to the current continuous operation time of the gas turbine, thereby reducing the impact of equipment aging or blockage on the operating performance of the gas turbine and improving the control effect of the gas turbine.
[0108] This application also provides a control device for a full-type gas turbine, please refer to Figure 3 , the control device of the full-type gas turbine comprises:
[0109] The acquisition module 10 is used to acquire the equipment model, current operating parameters and current continuous operation time of the gas turbine.
[0110] The query module 20 is used to query the target safe operating parameter range of the gas turbine based on the equipment model and the current continuous operation time.
[0111] The determination module 30 is used to determine the operating parameter to be adjusted according to the current operating parameter and the target safe operating parameter range.
[0112] The control module 40 is used to adjust the operating state of the gas turbine based on the operating parameter to be adjusted until the operating parameter to be adjusted is reduced to within the target safe operating parameter range.
[0113] This embodiment first determines the target safe operating parameters corresponding to different models and continuous operation durations, and then determines the working parameters to be adjusted that do not meet the working requirements based on the current operating parameters of the gas turbine and the target safe operating parameter range, and then adjusts the operating state of the gas turbine to reduce the working parameters to be adjusted to within the target safe operating parameter range, thereby improving the combustion performance of the gas turbine and not being affected by different models of gas turbines, thereby avoiding the technical problem in the prior art that the combustion performance of gas turbines of various models cannot be efficiently controlled.
[0114] In one embodiment, the query module 20 is also used to query the theoretical safe operating parameter range of the gas turbine according to the equipment model; determine the current health state of the gas turbine and the attenuation coefficient corresponding to the current health state through a trained health assessment model based on the current continuous operation time; and determine the target safe operating parameter range according to the theoretical safe operating parameter range and the attenuation coefficient.
[0115] In one embodiment, the query module 20 is also used to obtain historical operating data of gas turbines of the same equipment model; cluster the historical operating data through a preset clustering model to obtain multiple data clustering centers; determine the current health status of the gas turbine based on the current continuous operation time and each data clustering center; and generate an attenuation coefficient corresponding to the current health status based on the factory setting parameters of the gas turbine and the current health status.
[0116] In one embodiment, the query module 20 is further used to set multiple initial clustering cluster centers according to the operating time of the gas turbine; calculate the distance between the historical operating data and each initial clustering cluster center respectively to obtain multiple iterative clustering cluster data sets; update the centroid of each iterative clustering cluster data set; perform iterative clustering based on the centroid of each updated iterative clustering cluster data set; when the number of clustering is greater than or equal to the preset number of iterations, output multiple data clustering centers according to the centroid of the latest iterative clustering cluster data set.
[0117] In one embodiment, the query module 20 is further used to calculate the average value of the running data of each iterative clustering cluster data set; and use each running data average value as the centroid of the corresponding iterative clustering cluster data set.
[0118] In one embodiment, the query module 20 is also used to calculate the membership parameters between the current continuous operation time and each data cluster center; determine the target data cluster center based on the membership parameters; extract the health status baseline value of the target data cluster center; and determine the current health status of the gas turbine based on the health status baseline value.
[0119] In one embodiment, the control module 40 is further used to control the combustion temperature of each area of the combustion chamber in the gas turbine; adjust the valve opening of at least one fuel inlet connected to the gas turbine; and adjust the pressure in the combustion chamber.
[0120] The present application provides a control device for a full-type gas turbine, the control device for the full-type gas turbine comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the control method for the full-type gas turbine in the above-mentioned embodiment one.
[0121] Reference below Figure 4 , which shows a schematic diagram of the structure of a control device for a full-type gas turbine suitable for implementing the embodiment of the present application. The control device for the full-type gas turbine in the embodiment of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 4 The control device of the full-type gas turbine shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.
[0122] like Figure 4As shown, the control device of the full-type gas turbine may include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In the RAM 1004, various programs and data required for the operation of the control device of the full-type gas turbine are also stored. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems may be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 may allow the control device of the full-type gas turbine to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a control device of the full-type gas turbine with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have instead.
[0123] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.
[0124] The control device of the full-type gas turbine provided by the present application adopts the control method of the full-type gas turbine in the above-mentioned embodiment, which can solve the technical problem of the control of the full-type gas turbine. Compared with the prior art, the beneficial effects of the control device of the full-type gas turbine provided by the present application are the same as the beneficial effects of the control method of the full-type gas turbine provided by the above-mentioned embodiment, and other technical features in the control device of the full-type gas turbine are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.
[0125] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.
[0126] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.
[0127] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, the computer-readable program instructions being used to execute the control method for the full-type gas turbine in the above-mentioned embodiment.
[0128] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.
[0129] The computer-readable storage medium may be included in the control device of the full-type gas turbine; or may exist independently without being assembled into the control device of the full-type gas turbine.
[0130] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the control device of the full-type gas turbine, the control device of the full-type gas turbine controls the full-type gas turbine.
[0131] Computer program code for performing the operations of the present application may be written in one or more programming languages or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).
[0132] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.
[0133] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.
[0134] The readable storage medium provided in the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned control method of the full-type gas turbine, and can solve the technical problem of the control of the full-type gas turbine. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as the beneficial effects of the control method of the full-type gas turbine provided in the above-mentioned embodiment, and will not be repeated here.
[0135] The present application also provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the control method of the full-type gas turbine as described above.
[0136] The computer program product provided in this application can solve the technical problem of controlling a full-type gas turbine. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the control method of a full-type gas turbine provided in the above embodiment, which will not be repeated here.
[0137] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.
Claims
1. A control method for a full-type gas turbine, characterized in that: The control method of the full-type gas turbine comprises: Obtain the equipment model, current operating parameters and current continuous operation time of the gas turbine; Querying the target safe operating parameter range of the gas turbine based on the equipment model and the current continuous operation time; Determining the operating parameter to be adjusted according to the current operating parameter and the target safe operating parameter range; The operating state of the gas turbine is adjusted based on the operating parameter to be adjusted until the operating parameter to be adjusted is reduced to within the target safe operating parameter range.
2. The control method of the full-type gas turbine according to claim 1, characterized in that: The determining of a target safe working parameter range based on the device model and the current continuous operation time includes: Querying the theoretical safe operating parameter range of the gas turbine according to the equipment model; Determine the current health state of the gas turbine and the attenuation coefficient corresponding to the current health state through a trained health assessment model based on the current continuous operation time; A target safe operating parameter interval is determined according to the theoretical safe operating parameter interval and the attenuation coefficient.
3. The control method of the full-type gas turbine according to claim 2, characterized in that: Before determining the current health state of the gas turbine and the attenuation coefficient corresponding to the current health state through the trained health assessment model based on the current continuous operation time, the method further includes: Obtain historical operating data of gas turbines of the same equipment model; Performing data clustering on the historical operation data by using a preset clustering model to obtain multiple data clustering centers; Determining a current health state of the gas turbine according to the current continuous operation time and each data cluster center; An attenuation coefficient corresponding to the current health state is generated according to the factory setting parameters of the gas turbine and the current health state.
4. The control method of the full-type gas turbine according to claim 3, characterized in that: The historical operation data is clustered by a preset clustering model to obtain multiple data clustering centers, including: Setting a plurality of initial cluster centers according to the operating time of the gas turbine; Calculating the distances between the historical operation data and the centers of each initial cluster respectively, and obtaining multiple iterative cluster data sets; Update the centroid of each iterative clustering cluster data set; Iterative clustering is performed based on the updated centroids of each iterative clustering cluster data set; When the number of clustering is greater than or equal to the preset number of iterations, multiple data clustering centers are output according to the centroid of the latest iterative clustering cluster data set.
5. The control method of the full-type gas turbine according to claim 4, characterized in that: The updating of the centroid of each iterative clustering cluster data set includes: Calculate the running data average of each iterative clustering cluster data set; The average value of each running data is taken as the centroid of the corresponding iterative clustering cluster data set.
6. The control method of a full-type gas turbine according to claim 3, characterized in that: Determining the current health state of the gas turbine according to the current continuous operation time and each data cluster center includes: Calculating the membership parameter between the current continuous running time and each data cluster center; Determining a target data cluster center based on the membership parameter; Extracting a health status benchmark value of the target data cluster center; The current health state of the gas turbine is determined according to the health state reference value.
7. The control method for a full-type gas turbine according to any one of claims 1 to 6, characterized in that: The adjusting the operating state of the gas turbine includes at least one of the following methods: controlling the combustion temperature of each zone of the combustion chamber in the gas turbine; adjusting a valve opening of at least one fuel inlet in communication with the gas turbine; The pressure within the combustion chamber is adjusted.
8. A control device for a full-type gas turbine, characterized in that: The control device of the full-type gas turbine comprises: An acquisition module is used to acquire the equipment model, current operating parameters and current continuous operation time of the gas turbine; A query module, configured to query a target safe operating parameter range of the gas turbine based on the device model and the current continuous operation time; A determination module, used to determine the operating parameter to be adjusted according to the current operating parameter and the target safe operating parameter range; A control module is used to adjust the operating state of the gas turbine based on the operating parameter to be adjusted until the operating parameter to be adjusted is reduced to within the target safe operating parameter range.
9. A control device for a full-type gas turbine, characterized in that: The control device of the full-type gas turbine includes: a memory, a processor, and a control program of the full-type gas turbine stored in the memory and executable on the processor, wherein the control program of the full-type gas turbine is configured to implement a control method of the full-type gas turbine as described in any one of claims 1 to 7.
10. A storage medium, characterized in that: The storage medium stores a control program for a full-type gas turbine, and when the control program for the full-type gas turbine is executed by a processor, the control method for the full-type gas turbine according to any one of claims 1 to 7 is implemented.