Gas turbine purging system monitoring method and system

Abstract

The invention discloses a gas turbine cleaning and blowing system monitoring method and system, relates to the technical field of gas turbine intelligent control, and aims to solve the problem that fault diagnosis is distorted due to the fact that an existing cleaning and blowing system only monitors the states of a valve and a pipeline and lacks logical association. The method comprises the following steps: acquiring a gas running path of the purging system, determining a valve and a pipeline in a working state, and updating and displaying a pipeline structure; using an encryption protocol to obtain unit operation parameters, verifying valve and pipeline operation states, and then adding mark output; constructing a classification fault library and formulating a fault processing strategy in combination with the historical operation state, the fault and the knowledge graph; and inputting the real-time state into a fault library to obtain a fault result and a corresponding processing strategy, outputting the fault result and the corresponding processing strategy to a display interface and associating corresponding parts. According to the invention, accurate fault diagnosis and visual monitoring of the cleaning and blowing system are realized, operation and maintenance personnel are guided to master the system state in real time, the fault is handled in time, and safe operation of the gas turbine is guaranteed.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology for gas turbines, specifically to a monitoring method and system for a gas turbine purging system. Background Technology

[0002] The gas turbine purging system is a critical subsystem for ensuring the safe operation of the unit. Its function is to purge unused fuel branches using compressor exhaust during fuel switching or shutdown, preventing residual fuel accumulation and subsequent deflagration. Existing gas turbine purging systems only monitor the operating status of valves and pipelines without logically correlating these statuses. This leads to distorted fault diagnosis results and seriously affects the safe operation of the unit. Summary of the Invention

[0003] To address the problems existing in the prior art, this invention provides a monitoring method and system for a gas turbine cleaning system, which enables accurate diagnosis and display of faults in the gas turbine cleaning system, and guides gas turbine power generation companies' operation and maintenance personnel to monitor the operating status of the cleaning system in real time and handle system faults in a timely manner.

[0004] This invention is achieved through the following technical solution: A method for monitoring a gas turbine cleaning system includes the following steps: Step 1: Obtain the gas flow path of the purging system, determine the valves and pipelines currently in operation based on the gas flow path, and update the pipeline structure of the purging system based on the valves and pipelines currently in operation. Step 2: Use an encryption protocol to obtain the unit's operating parameters, confirm the obtained valve and pipeline operating status based on the unit's operating parameters, add different labels to the confirmed valve and pipeline operating status and output them to the display interface; Step 3: Based on the historical operating status and corresponding faults of the valves and pipelines of the cleaning system, construct a cleaning system fault database using a knowledge graph. Classify the faults in the constructed fault database according to alarm, shutdown, and trip. Construct fault handling strategies for each type of fault based on historical maintenance data. Step 4: Input the real-time operating status of valves and pipelines into the purging system fault database to obtain the current fault results of the purging system. Determine the fault handling strategy based on the fault results, output the fault results and fault handling strategy to the display interface, and associate them with the corresponding valves and pipelines.

[0005] Preferably, the step of updating the display of the cleaning system's piping structure based on the currently operating valves and piping includes: Obtain the gas flow path of the purging system within a set time period, and determine the valves and pipelines in working condition based on the gas flow path; Construct an operational structure diagram of the current cleaning system based on the currently operating valves and pipelines; The system retrieves the previous operating structure diagram of the purging system and compares it with the current operating structure diagram. Based on the comparison results, the system updates the operating structure diagram and marks any newly added or deleted valves and pipelines on the display interface.

[0006] Preferably, determining the valves and pipelines in working condition based on the gas flow path includes: The working status of valves and pipelines is determined based on the pressure and flow rate of the gas flow.

[0007] Preferably, the operating states of the valves and pipelines include: The valve operating state includes open and closed, or the valve opening degree, and the open and closed state or the valve opening degree corresponds to a corresponding value. The operating status of the pipeline is either the operation or shutdown of the diffusion pipeline or the premixed pipeline.

[0008] Preferably, the step of acquiring the unit's operating parameters using an encryption protocol, confirming the acquired valve and pipeline operating status based on the unit's operating parameters, and adding different labels to the confirmed valve and pipeline operating status and outputting them to the display interface includes: According to the set acquisition cycle, the unit parameters strongly correlated with the operation of the gas turbine cleaning system are obtained through the OPCUA protocol; Based on the operating mechanism of the gas turbine and the working logic of the cleaning system, verification rules for unit parameters and valve and pipeline status are formulated. The operating status of valves and pipelines is time-aligned and matched with unit parameters to form a correlated data set, and the operating status of valves and pipelines is verified based on the correlated data set; Valves and pipelines are labeled according to the established labeling rules and verification results.

[0009] Preferably, the step of constructing a cleaning system fault database based on the historical operating status and corresponding faults of the valves and pipelines of the cleaning system, combined with a knowledge graph, includes: Obtain the historical operating status of valves and pipelines in the purging system; According to the preset data format requirements of the cleaning system fault database, the operating status of valves and pipelines is preprocessed, and timestamps are added to the preprocessed data; Establish a correspondence between valve or pipeline status data and fault types, forming relationship groups; A fault database for the cleaning system is created by matching the corresponding handling measures to the relationship groups.

[0010] Preferably, the establishment of a relationship group between valve or pipeline status data and fault types includes: Establish a group that links the operating status of an individual valve or pipeline to its fault type; Or / and, based on the logical association between multiple valves and / or pipelines, combine the permissible states of multiple valves and / or pipelines into an associated state group, and establish a relationship group between the associated state group and the fault type.

[0011] Preferably, the real-time valve and pipeline operating status is input into the purging system fault database to obtain the current fault results of the purging system, and a fault handling strategy is determined based on the fault results, including: Obtain the current operating status of valves and pipelines in the purging system; According to the preset data format requirements of the cleaning system fault database, the operating status of valves and pipelines is preprocessed; The preprocessed operating status is input into the fault database of the blowing system for matching, the fault result is determined, and the corresponding fault handling strategy is retrieved from the fault database based on the fault result.

[0012] A gas turbine purging system monitoring system includes: The system operation module is used to obtain the gas operation path of the cleaning system, determine the valves and pipelines currently in operation based on the gas operation path, and update the display of the cleaning system's pipeline structure based on the valves and pipelines currently in operation. The component update module is used to obtain the unit's operating parameters using an encryption protocol, confirm the obtained valve and pipeline operating status based on the unit's operating parameters, add different labels to the confirmed valve and pipeline operating status and output them to the display interface; The fault database module is used to build a fault database for the cleaning system based on the historical operating status and corresponding faults of valves and pipelines in the cleaning system, combined with a knowledge graph. The faults in the built fault database are classified according to alarm, shutdown and trip. Fault handling strategies are built for each type of fault based on historical maintenance data. The diagnostic module is used to input the real-time operating status of valves and pipelines into the purging system fault database, obtain the current fault results of the purging system, determine the fault handling strategy based on the fault results, output the fault results and fault handling strategy to the display interface, and associate them with the corresponding valves and pipelines.

[0013] An electronic device, comprising: Memory, used to store computer programs; A processor is used to implement the steps of the gas turbine cleaning system monitoring method as described above when executing the computer program.

[0014] Compared with the prior art, the present invention has the following beneficial technical effects: This application provides a monitoring method for a gas turbine purging system. First, it accurately locates the working status of valves and pipelines by tracking the gas flow path, dynamically updating the pipeline structure display to ensure consistency between the monitored objects and the actual system operation scenario, avoiding the omission of critical component status due to static displays. Then, it uses the OPC UA encryption protocol to acquire unit operating parameters, verifying the rationality of valve and pipeline status at the system level. This ensures data transmission security and improves the accuracy of status judgment through multi-dimensional parameter correlation, overcoming the limitations of monitoring single component status. Subsequently, it combines historical data and knowledge graphs to construct a categorized fault database, providing standardized basis for fault diagnosis. Simultaneously, it matches specific handling strategies for different fault levels, achieving standardization of fault diagnosis and handling. Finally, it matches the real-time status with the fault database, outputting fault results and handling strategies and associating them with corresponding components, allowing maintenance personnel to quickly locate fault points and obtain handling solutions. The overall solution achieves full-process coverage from component status acquisition and system-level verification to intelligent fault diagnosis and precise handling, effectively improving the real-time performance, accuracy, and maintenance efficiency of purging system monitoring, providing reliable assurance for the safe operation of gas turbines.

[0015] This application also proposes a gas turbine cleaning system monitoring system, an electronic device, and a computer storage medium, which possess all the advantages of the aforementioned gas turbine cleaning system monitoring method. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart of the gas turbine cleaning system monitoring method of the present invention.

[0018] Figure 2 This is a state diagram of the pipelines and valves of the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0020] Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0021] See Figure 1 A method for monitoring a gas turbine cleaning system includes the following steps: Step 1: Obtain the gas flow path of the cleaning system, determine the valves and pipelines currently in operation based on the gas flow path, and update the pipeline structure of the cleaning system based on the valves and pipelines currently in operation.

[0022] S1.1 Obtain the gas flow path of the purging system within a set time period, and determine the valves and pipelines in operation along the gas flow path.

[0023] The gas flow path is determined by the flow meter and pressure gauge on the cleaning system. For example, if the gas flow rate in the pipeline is 0 within a set time, it means that the pipeline is idle in the current operating mode of the cleaning system and does not participate in the work. For example, if the pressure gauge on the pipeline is constant for a set time, the valve is always closed or open, meaning that the valve does not participate in the current work.

[0024] It should be noted that, since valves and pipelines operate in alternating states, for on / off valves, the gas in the pipeline may be flowing or closed, so it is necessary to collect operating data within a set time period to accurately determine the operating status of valves and pipelines.

[0025] S1.2 Construct the operational structure diagram of the current cleaning system based on the currently operating valves and pipelines.

[0026] Based on the currently operating valves and pipelines, and in conjunction with the structural dimensions of the pipelines and the valve models, construct a scaled-down operational structure diagram of the current cleaning and purging system.

[0027] S1.3 Obtain the operation structure diagram of the cleaning system at the previous moment and compare it with the current operation structure diagram of the cleaning system. Based on the comparison results, update the newly added or deleted valves and pipelines on the display interface and mark the updated valves and pipelines on the display interface.

[0028] The layout of the purge valve, solenoid valve, diffusion pipe, and premixing pipe is basically the same as the original interface valve and pipe layout. Color-coded and valve status legends have been added to the left side of the new valve and pipe layout interface, while the right side displays the pipe status and corresponding valve values ​​in real-time in a list format. See [link / reference]. Figure 2.

[0029] Step 2: Obtain the current operating status of valves and pipelines in the purging system; The operating status of a valve refers to whether the valve is open or closed, or the degree of valve opening. The opening and closing of a valve or the degree of valve opening correspond to specific numerical values. The operational status of a pipeline refers to whether the diffusion pipeline or the premixed pipeline is in operation or shut down.

[0030] In this embodiment, before formal data collection, a "target object list" of information to be collected needs to be compiled based on the actual architecture of the gas turbine purging system to be monitored. The list must cover all valves (such as purging valves, solenoid valves, etc.) and pipelines (only for the two core functional pipelines: diffusion pipelines and premixing pipelines) involved in the purging process within the system, avoiding omissions of critical components. Simultaneously, the compatibility between the data collection equipment (such as sensors, data acquisition modules, etc.) and the target components must be confirmed. For example, valve opening sensors must match the valve specifications and models, and pipeline operation status detectors must be able to accurately identify whether the medium is flowing within the pipeline, ensuring the validity of subsequent data collection.

[0031] 1) Data collection on valve operating status, including on / off valves and regulating valves.

[0032] For on / off valves (such as some purge valves and solenoid valves): focus on collecting the "open / closed" status. Verification can be done on-site in two ways: first, by checking the valve's built-in mechanical indicators (such as valve stem position and field indicator lights); second, by reading the electrical signals transmitted by the valve controller or PLC system (such as dry contact signals and analog signals). After confirming the status, assign corresponding values ​​according to standardized rules. For example, the industry commonly uses "1" to represent a fully open valve and "0" to represent a fully closed valve. This correspondence must be synchronously recorded in the data acquisition system.

[0033] For regulating valves (valves that precisely control the purge volume): In addition to collecting the "open / closed" status, "opening degree" information also needs to be collected. Real-time opening degree values ​​can be obtained through the valve's built-in opening degree feedback device (such as an encoder or potentiometer), usually expressed as a "percentage" (e.g., 0% represents fully closed, 100% represents fully open), or converted to specific stroke values ​​(e.g., millimeters) according to system requirements. Multiple readings and averages should be taken during data collection to reduce errors caused by equipment vibration and ensure that the opening degree data accurately reflects the valve's actual flow capacity.

[0034] 2) Pipeline operating status data collection The pipelines only include diffusion pipelines and premixed pipelines. The core of the data collection is to determine their "operational / shutdown" status, which can be verified through a combination of the following two methods: Flow / Pressure Detection: Flow sensors or pressure sensors are installed at key nodes in both types of pipelines (such as near the fuel inlet and near the burner). If the sensor detects a stable flow or pressure value for the medium (such as natural gas or purge air) and the value is within the preset range for normal system operation, the pipeline is determined to be in "operation" status; if the detected flow or pressure value is consistently zero or far below the normal operating threshold, it is initially determined to be in "shutdown" status.

[0035] Related system signal verification: Combined with the gas turbine's operating mode (such as fuel switching phase, normal operation phase, and shutdown phase), the pipeline status is determined. For example, when the unit is in "fuel switching to premixed mode", the premixed pipeline should be in "operation" state and the diffusion pipeline should be in "shutdown" state. At this time, the accuracy of the pipeline status can be further confirmed by comparing the matching degree between sensor data and the unit's operating mode, avoiding misjudgments caused by sensor failure.

[0036] Step 3: Use an encryption protocol to obtain the unit's operating parameters. Based on the unit's operating parameters, confirm the valve and pipeline operating status obtained in Step 1. Add different labels to the confirmed valve and pipeline operating status and output them to the display interface.

[0037] The system uses the OPCUA industrial protocol to obtain real-time parameters such as unit power, speed, natural gas temperature, and combustion reference temperature from the OpenPlane database. This facilitates comparison and confirmation of the valve and pipeline status displayed on the purge system monitoring interface. In the purge system, the opening of purge valves and solenoid valves is indicated by red, and their closing by green. The value corresponding to the opening of a purge valve in the purge system is 1, and the value corresponding to the opening of a solenoid valve is 0. The operation of diffusion and premixing pipelines is indicated by blue, and their shutdown by green. S3.1 According to the set acquisition cycle, obtain the unit parameters strongly correlated with the operation of the gas turbine cleaning system through the OPCUA protocol, including but not limited to unit power (reflecting the unit load status and affecting cleaning demand), speed (determining whether the unit is in stable operation or start-up / shutdown stage, and associating with cleaning timing), natural gas temperature (affecting fuel characteristics, and thus affecting the interaction between the cleaning medium and fuel), and combustion reference temperature (directly reflecting the combustion system status and verifying whether cleaning is necessary).

[0038] The OPCUA industrial protocol is adopted. This protocol has native encryption capabilities and can prevent parameters from being stolen or tampered with during transmission through mechanisms such as certificate authentication and encrypted data transmission, thus ensuring data security and meeting the security requirements of industrial control systems for data transmission.

[0039] S3.2 Based on the operating mechanism of the gas turbine and the working logic of the cleaning system, formulate verification rules for unit parameters and valve and pipeline status; When the unit speed is in the "stable speed range after startup (e.g., 3000 r / min)" and the combustion reference temperature is lower than the "safety threshold (e.g., 800℃)", if the premixed pipeline is in "running" status as collected in step 2, it is necessary to further combine the natural gas temperature (e.g., the natural gas temperature is in the normal range of 15-25℃) to verify whether the pipeline's operating status conforms to the reasonable scenario of "premixed combustion mode under low load". If the unit power is lower than the "minimum load threshold (e.g., 10% of rated power)" and is in the "shutdown preparation stage", the cleaning valve collected in step 2 is in the "open" state. It is necessary to combine the speed (e.g., the speed continues to drop to below 1000 r / min) to confirm whether the opening of the valve conforms to the normal logic of "cleaning before shutdown".

[0040] S3.3 Align and match the operating status of valves and pipelines with the unit parameters in terms of time; The time-aligned unit parameters are bound to the corresponding valve and pipeline status data to form a "parameter-status" associated data group, providing a complete data foundation for subsequent verification.

[0041] S3.4 Verify the operating status of valves and pipelines based on the associated data set.

[0042] For example, if the data shows "Purge valve open (value 1)", but the unit parameters show "Speed ​​is 0 (shutdown state)" and "Combustion reference temperature is ambient temperature", then the state of the purge valve is determined to be abnormal (the purge valve does not need to be opened when the unit is shut down). For example, if the system is in "premixed pipeline operation" and the unit parameters show "power at 80% of rated power", "combustion reference temperature at 1200℃ (normal operating range)" and "natural gas temperature at 20℃", then the premixed pipeline operation status is considered reasonable.

[0043] S3.5, Establishing labeling rules for valves and pipelines Color coding: The open state of the purge valve and the solenoid valve is uniformly represented by red, and the closed state is represented by green. The clear color contrast makes it easy for maintenance personnel to quickly identify the valve's on / off status. The purge valve is open with a value of "1" and closed with a value of "0"; the solenoid valve is open with a value of "0" and closed with a value of "1". This clearly defines the one-to-one correspondence between values ​​and states, providing a basis for data-driven monitoring and fault analysis.

[0044] The operating status of diffusion and premixing pipelines is represented by blue, and the shutdown status is represented by green. This distinguishes whether the pipelines are in operation and also creates consistency with the green color for the valves when they are closed, avoiding color confusion.

[0045] S3.6. Based on the operating status and marking rules of pipelines and valves, produce corresponding markings for pipelines and valves.

[0046] Each confirmed valve and pipeline is automatically matched with the corresponding color and numerical label according to its status (open / closed, running / shutdown) to generate complete label information for that component (such as "Purge Valve 1 - Open - Red - Value 1" and "Premixed Pipeline A - Running - Blue").

[0047] All component labeling information is logically sorted according to the actual physical architecture of the purging system (such as the connection relationship between valves and pipes, and installation location) to form a labeling information set consistent with the actual system layout, ensuring that the display interface can intuitively reflect the system topology.

[0048] S3.7 Display the markings of pipes and valves on the display terminal.

[0049] See Figure 2 According to the preset interface layout, the integrated labeling information is output to the display interface.

[0050] The left side area displays a legend showing the correspondence between colors, status, and values, such as "Red - Valve open (Purge valve 1 / Solenoid valve 0)", "Green - Valve closed (Purge valve 0 / Solenoid valve 1)", "Blue - Pipeline in operation", and "Green - Pipeline out of operation", which makes it easy for maintenance personnel to quickly look up the labeling rules; The right-hand area displays the status information of each component in real time in a list format. Each row corresponds to a component and includes the component name (such as "Purge Valve 1" or "Diffusion Pipe B"), status (open / closed / running / shutdown), corresponding color (presented as a color block), and corresponding value (displayed only for valves). The list data is updated in real time as the system status changes (synchronized with the parameter acquisition cycle).

[0051] Step 4: Based on the historical operating status and corresponding faults of the valves and pipelines of the cleaning system, construct a cleaning system fault database by combining knowledge images, and classify the faults in the constructed fault database according to alarm, shutdown and trip. Based on historical maintenance data, construct fault handling strategies for each type of fault.

[0052] By analyzing the fault descriptions of the cleaning system in the operating procedures of similar units, and based on the fault characteristics or fault codes, the fault alarm and shutdown control logic of the cleaning system in the control system is reverse-engineered and analyzed. The control logic is then further analyzed by referring to the alarm, shutdown, and trip conditions in the cleaning system control logic to identify possible causes of fault alarms, shutdowns, and trips. Corresponding solutions are proposed for the possible causes of the faults.

[0053] Obtain the historical operating status of valves and pipelines in the purging system; preprocess the operating status of valves and pipelines according to the preset data format requirements of the purging system fault database, and add timestamps to the preprocessed data; establish the correspondence between valve or pipeline status data and fault types to form relationship groups; match the corresponding handling measures to the relationship groups to form the purging system fault database.

[0054] Optionally, establish a group of relationships between the operating status of an individual valve or pipeline and the type of failure; Or / and, based on the logical association between multiple valves and / or pipelines, combine the permissible states of multiple valves and / or pipelines into an associated state group, and establish a relationship group between the associated state group and the fault type.

[0055] Step 5: Input the real-time operating status of valves and pipelines into the purging system fault database to obtain the current fault results of the purging system. Determine the fault handling strategy based on the fault results, output the fault results and fault handling strategy to the display interface, and associate them with the corresponding valves and pipelines.

[0056] During unit operation, the operation and shutdown of the diffusion channel and premixing channel, as well as the opening and closing of each purging valve and solenoid valve and their corresponding values, are displayed in real time through the purging system monitoring interface. When a purging system fault occurs during actual unit operation, the possible causes and handling measures of the fault can be obtained by querying the purging system fault alarm code, thereby guiding the safe and stable operation of the unit.

[0057] If a fault is successfully matched with a fault in the fault database through a query, the fault is handled according to the fault handling measures. If no relevant fault is found in the fault database through a query, the fault needs to be further analyzed to determine the fault classification, possible causes and handling measures, and expanded into the fault database to facilitate the handling of similar faults in the future.

[0058] S5.1 Obtain the current operating status of valves and pipelines in the cleaning system; S5.2. Preprocess the operating status of valves and pipelines according to the preset data format requirements of the cleaning system fault database, and add timestamps to the preprocessed data.

[0059] S5.3 Match the standardized status data of a single valve or pipeline with the "single component abnormal status and fault type" stored in the fault database.

[0060] For example, if the real-time data shows "Purge valve FV-01-Closed-0", but the unit is in the shutdown purging stage (judged in conjunction with the unit's operating parameters), and the fault database shows "Purge valve closed during shutdown purging stage" corresponding to "Purge valve jamming fault", then it is preliminarily determined that the purging valve is suspected of jamming.

[0061] For logically related components in the purging system (such as premixed pipelines and corresponding premixed valves), their real-time status data are combined into "associated status groups" and matched with the corresponding abnormal statuses and fault types of multiple components in the fault database.

[0062] For example, if real-time data shows "Premixed Pipeline PV-02-Run-None" and "Premixed Valve MV-02-Closed-1", and the fault database shows "Premixed Pipeline Running and Corresponding Premixed Valve Closed" which corresponds to "Premixed Pipeline Medium Leakage Fault", then it is determined that the associated component combination is suspected of having a medium leakage fault.

[0063] S5.4 When the real-time status data of valves and pipelines completely matches a certain fault type in the fault database, the fault result is output to clarify the fault type.

[0064] If the real-time status data partially matches multiple fault types in the fault database (e.g., a single component status matches fault A, and multiple component associated statuses match fault B), then the fault priority determination logic is activated. Based on the degree of impact of the fault on the unit's safety (trip fault > shutdown fault > alarm fault), the fault with the highest impact is prioritized as the current fault result. If the fault levels are the same, then the fault with the higher historical occurrence frequency is selected as the current fault result, taking into account the historical fault occurrence frequency.

[0065] If the real-time status data cannot match any fault type in the fault database, it is marked as "unidentified fault" and the current complete real-time status data (including timestamp, component information, and status value) is recorded.

[0066] S5.5. Based on the confirmed fault results (fault type and fault level), retrieve the corresponding fault handling strategy from the fault database.

[0067] Alarm-related faults (such as "purge valve response delay fault"): The handling strategy is "1. Check if the purge valve control circuit is loose; 2. Test if the voltage of the purge valve drive device is normal; 3. If the circuit and voltage are normal, manually trigger the valve to verify if it is stuck". For shutdown-related faults (such as "abnormal pressure rise in the diffusion pipeline"), the handling strategy is: "1. Immediately reduce the unit load to the shutdown threshold; 2. Close the upstream fuel valve of the diffusion pipeline; 3. Activate the pipeline pressure relief device; 4. Check if the pipeline pressure gauge is faulty." For unit tripping faults (such as "multiple valves in the purging system stuck simultaneously"), the handling strategy is: "1. Trigger the unit's emergency tripping procedure; 2. Close all fuel branch valves; 3. Start the auxiliary purging device to force-purge the pipeline; 4. Conduct a comprehensive inspection of the valve drive and control modules of the purging system."

[0068] S5.6 Integrate the confirmed fault results (including fault type, fault level, fault occurrence time, and list of related components) with the corresponding fault handling strategies (organized by step number, clearly listing the operation content and judgment criteria) to form a related information package. Format the text content in the related information package. For example, the fault type is marked with bold font (e.g., blow-off valve jamming fault), and the fault level is marked with different colors (alarm - yellow, shutdown - orange, trip - red).

[0069] Correspondingly, this application also provides a gas turbine cleaning system monitoring system, including: The system operation module is used to obtain the gas operation path of the cleaning system, determine the valves and pipelines currently in operation based on the gas operation path, and update the display of the cleaning system's pipeline structure based on the valves and pipelines currently in operation. The component update module is used to obtain the unit's operating parameters using an encryption protocol, confirm the obtained valve and pipeline operating status based on the unit's operating parameters, add different labels to the confirmed valve and pipeline operating status and output them to the display interface; The fault database module is used to build a fault database for the cleaning system based on the historical operating status and corresponding faults of valves and pipelines in the cleaning system, combined with a knowledge graph. The faults in the built fault database are classified according to alarm, shutdown and trip. Fault handling strategies are built for each type of fault based on historical maintenance data. The diagnostic module is used to input the real-time operating status of valves and pipelines into the purging system fault database, obtain the current fault results of the purging system, determine the fault handling strategy based on the fault results, output the fault results and fault handling strategy to the display interface, and associate them with the corresponding valves and pipelines.

[0070] It should be noted that, in the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules may be combined or integrated into another device, or some features may be ignored or not executed. The modules described as separate components may or may not be physically separated. The components shown as modules may be one or more physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the modules can be selected to achieve the purpose of the solution in this embodiment according to actual needs.

[0071] Furthermore, in the various embodiments of the present invention, the modules can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit. The integrated unit described above can be implemented in hardware or as a software functional unit.

[0072] An electronic device provided in this application includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the steps of the gas turbine cleaning system monitoring method described in any of the above embodiments.

[0073] Another electronic device provided in this application embodiment may further include: an input port connected to a processor for transmitting multimodal data collected by an external acquisition device to the processor; a display unit connected to the processor for displaying the processor's processing results to the outside world; and a communication module connected to the processor for enabling communication between the electronic device and the outside world. The display unit may be a display panel, a laser scanning display, etc.; the communication method adopted by the communication module includes, but is not limited to, Mobile High Definition Link (HML), Universal Serial Bus (USB), High Definition Multimedia Interface (HDMI), and wireless connection (including Wi-Fi, Bluetooth, Bluetooth Low Energy, and IEEE 802.11s-based communication technology).

[0074] This application provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the steps of the gas turbine cleaning system monitoring method described in any of the above embodiments.

[0075] For descriptions of relevant parts of the gas turbine purging system monitoring system, electronic equipment, and computer-readable storage medium provided in the embodiments of this application, please refer to the detailed descriptions of the corresponding parts in the gas turbine purging system monitoring method provided in the embodiments of this application, and they will not be repeated here. Furthermore, parts of the technical solutions provided in the embodiments of this application that are consistent with the implementation principles of corresponding technical solutions in the prior art have not been described in detail to avoid excessive elaboration.

[0076] The above content is only for illustrating the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made to the technical solution based on the technical concept proposed in this invention shall fall within the scope of protection of the claims of this invention.

Claims

1. A monitoring method for a gas turbine cleaning system, characterized in that, Includes the following steps: Step 1: Obtain the gas flow path of the purging system, determine the valves and pipelines currently in operation based on the gas flow path, and update the pipeline structure of the purging system based on the valves and pipelines currently in operation. Step 2: Use an encryption protocol to obtain the unit's operating parameters, confirm the obtained valve and pipeline operating status based on the unit's operating parameters, add different labels to the confirmed valve and pipeline operating status and output them to the display interface; Step 3: Based on the historical operating status and corresponding faults of the valves and pipelines of the cleaning system, construct a cleaning system fault database using a knowledge graph. Classify the faults in the constructed fault database according to alarm, shutdown, and trip. Construct fault handling strategies for each type of fault based on historical maintenance data. Step 4: Input the real-time operating status of valves and pipelines into the purging system fault database to obtain the current fault results of the purging system. Determine the fault handling strategy based on the fault results, output the fault results and fault handling strategy to the display interface, and associate them with the corresponding valves and pipelines.

2. The method for monitoring a gas turbine cleaning system according to claim 1, characterized in that, The method of updating the display of the cleaning system's piping structure based on the currently operating valves and piping includes: Obtain the gas flow path of the purging system within a set time period, and determine the valves and pipelines in working condition based on the gas flow path; Construct an operational structure diagram of the current cleaning system based on the currently operating valves and pipelines; The system retrieves the previous operating structure diagram of the purging system and compares it with the current operating structure diagram. Based on the comparison results, the system updates the operating structure diagram and marks any newly added or deleted valves and pipelines on the display interface.

3. The method for monitoring a gas turbine cleaning system according to claim 2, characterized in that, The process of determining the valves and pipelines in operation based on the gas flow path includes: The working status of valves and pipelines is determined based on the pressure and flow rate of the gas flow.

4. The monitoring method for a gas turbine cleaning system according to claim 1, characterized in that, The operating status of the valves and pipelines includes: The valve operating state includes open and closed, or the valve opening degree, and the open and closed state or the valve opening degree corresponds to a corresponding value. The operating status of the pipeline is either the operation or shutdown of the diffusion pipeline or the premixed pipeline.

5. The method for monitoring a gas turbine cleaning system according to claim 1, characterized in that, The process involves acquiring the unit's operating parameters using an encryption protocol, confirming the acquired valve and pipeline operating status based on these parameters, and adding different labels to the confirmed valve and pipeline operating status before outputting them to the display interface. This includes: According to the set acquisition cycle, the unit parameters strongly correlated with the operation of the gas turbine cleaning system are obtained through the OPCUA protocol; Based on the operating mechanism of the gas turbine and the working logic of the cleaning system, verification rules for unit parameters and valve and pipeline status are formulated. The operating status of valves and pipelines is time-aligned and matched with unit parameters to form a correlated data set, and the operating status of valves and pipelines is verified based on the correlated data set; Valves and pipelines are labeled according to the established labeling rules and verification results.

6. The method for monitoring a gas turbine cleaning system according to claim 1, characterized in that, The process involves constructing a fault database for the cleaning system based on the historical operating status and corresponding faults of the valves and pipelines in the cleaning system, combined with a knowledge graph. This database includes: Obtain the historical operating status of valves and pipelines in the purging system; According to the preset data format requirements of the cleaning system fault database, the operating status of valves and pipelines is preprocessed, and timestamps are added to the preprocessed data; Establish a correspondence between valve or pipeline status data and fault types, forming relationship groups; A fault database for the cleaning system is created by matching the corresponding handling measures to the relationship groups.

7. A monitoring method for a gas turbine cleaning system according to claim 6, characterized in that, The establishment of a relationship group between valve or pipeline status data and fault types includes: Establish a group that links the operating status of an individual valve or pipeline to its fault type; Or / and, based on the logical association between multiple valves and / or pipelines, combine the permissible states of multiple valves and / or pipelines into an associated state group, and establish a relationship group between the associated state group and the fault type.

8. The method for monitoring a gas turbine cleaning system according to claim 1, characterized in that, The process involves inputting the real-time operating status of valves and pipelines into the purging system fault database to obtain the current fault results of the purging system. Based on these results, a fault handling strategy is determined, including: Obtain the current operating status of valves and pipelines in the purging system; According to the preset data format requirements of the cleaning system fault database, the operating status of valves and pipelines is preprocessed; The preprocessed operating status is input into the fault database of the blowing system for matching, the fault result is determined, and the corresponding fault handling strategy is retrieved from the fault database based on the fault result.

9. A monitoring system for a gas turbine cleaning system, characterized in that, include: The system operation module is used to obtain the gas operation path of the cleaning system, determine the valves and pipelines currently in operation based on the gas operation path, and update the display of the cleaning system's pipeline structure based on the valves and pipelines currently in operation. The component update module is used to obtain the unit's operating parameters using an encryption protocol, confirm the obtained valve and pipeline operating status based on the unit's operating parameters, add different labels to the confirmed valve and pipeline operating status and output them to the display interface; The fault database module is used to build a fault database for the cleaning system based on the historical operating status and corresponding faults of valves and pipelines in the cleaning system, combined with a knowledge graph. The faults in the built fault database are classified according to alarm, shutdown and trip. Fault handling strategies are built for each type of fault based on historical maintenance data. The diagnostic module is used to input the real-time operating status of valves and pipelines into the purging system fault database, obtain the current fault results of the purging system, determine the fault handling strategy based on the fault results, output the fault results and fault handling strategy to the display interface, and associate them with the corresponding valves and pipelines.

10. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the steps of a gas turbine cleaning system monitoring method as described in any one of claims 1-8.

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